Alternatives to Eclipse Streamsheets

Open Automation Software IIoT platform Windows and Linux allows you to liberate your Industry4.0 data. OAS is an unlimited IoT Gateway that works with Windows, Linux, Raspberry Pi 4 and Windows IoT Core. It can also be used to deploy Docker containers. HMI visualizations for web, WPF, WinForm C#, and VB.NET applications. Log data and alarms to SQL Server and MS Access, SQL Server, Oracle and MS Access, MySQL and Azure SQL, PostgreSQL and Cassandra. MQTT Broker and Client interface, as well as cloud connectivity to Azure IoT Gateway and AWS IoT Gateway. Remote Excel Workbooks can be used to read and write data. Notifications of alarm sent to voice, SMS text and email. Access to programmatic information via REST API and.NET Allen Bradley ControlLogix and CompactLogix, GuardLogix. Micro800, MicroLogix. MicroLogix. SLC 500. PLC-5. Siemens S7-220, S7-3300, S7-405, S7-490, S7-1200, S7-1500, and S7-1500 Modbus TCP and Modbus RTU are Modbus ASCII and Modbus TCP for Master and Slave communication. OPTO-22, MTConnect and OPC UA, OPC DA.

There are countless devices operating in various environments such as residences, industrial sites, oil extraction facilities, medical centers, vehicles, and numerous other locations. As the number of these devices continues to rise, there is a growing demand for effective solutions that can connect them, as well as gather, store, and analyze the data they generate. AWS provides a comprehensive suite of IoT services that span from edge computing to cloud-based solutions. Unique among cloud providers, AWS IoT integrates data management with advanced analytics capabilities tailored to handle the complexities of IoT data seamlessly. The platform includes robust security features at every level, offering preventive measures like encryption and access control to safeguard device data, along with ongoing monitoring and auditing of configurations. By merging AI with IoT, AWS enhances the intelligence of devices, allowing users to build models in the cloud and deploy them to devices where they operate twice as efficiently as comparable solutions. Additionally, you can streamline operations by easily creating digital twins that mirror real-world systems and conduct analytics on large volumes of IoT data without the need to construct a dedicated analytics infrastructure. This means businesses can focus more on leveraging insights rather than getting bogged down in technical complexities.

It facilitates device connectivity through widely accepted IoT protocols such as MQTT, CoAP, and HTTP, accommodating both cloud and local installations. ThingsBoard is engineered for scalability, reliability, and high performance, ensuring that your data remains secure and intact. You can provision, monitor, and manage your IoT devices securely by utilizing comprehensive server-side APIs. Establish connections among your devices, assets, customers, or other entities with ease. Efficiently gather and archive telemetry data in a scalable and resilient manner. You can visualize your data using either built-in or personalized widgets and adaptable dashboards, which can also be shared with clients. The platform allows you to create data processing rule chains, enabling you to transform and standardize your device data. It can trigger alerts based on incoming telemetry events, updates to attributes, periods of device inactivity, and user interactions. Build a ThingsBoard cluster to achieve maximum scalability and fault tolerance through a microservices architecture. Furthermore, ThingsBoard accommodates both cloud and on-premises setups, making it a versatile choice for various deployment needs. This flexibility ensures that users can tailor their IoT solutions according to specific requirements and preferences.

Analyze and utilize your data at the Edge to transform Big Data into manageable, pertinent insights. Gather sensor information from all your equipment and establish connections with various devices like sensors, PLCs, DCS, MES, or historians. Implement condition monitoring for assets located remotely, aligning with Industry 4.0 standards for effective data collection and integration. Merge real-time streaming data with enterprise data for seamless data flows, and utilize your preferred Cloud Provider or your own data center for data storage solutions. Leverage Crosser Edge's MLOps capabilities to bring, manage, and deploy your custom machine learning models, with the Crosser Edge Node supporting any machine learning framework. Access a centralized library for your trained models hosted in Crosser Cloud, and streamline your data pipeline using a user-friendly drag-and-drop interface. Easily deploy machine learning models to multiple Edge Nodes with a single operation, fostering self-service innovation through Crosser Flow Studio. Take advantage of an extensive library of pre-built modules to facilitate collaboration among teams across different locations, effectively reducing reliance on individual team members and enhancing organizational efficiency. With these capabilities, your workflow will promote collaboration and innovation like never before.

Effortlessly link your hardware to the Ubidots cloud using a vast array of over 200 libraries, SDKs, and tutorials that facilitate integration through protocols such as HTTP, MQTT, TCP, and UDP, along with the ability to parse custom or industrial protocols. Regardless of whether you are integrating a single device or a thousand, Ubidots maintains a consistent level of effort required for onboarding, with its device types streamlining the process. Each time new hardware is identified, the system replicates the setup of creating a new device in Ubidots, automatically configuring its variables, properties, and visual representation. Additionally, you have the option to develop your own API, allowing you to parse data into a Node.js cloud GET or POST HTTP function, thereby extending your integration capabilities beyond the inherent architecture of Ubidots. This flexibility enables a more customized approach to device connectivity and data management.

Utilizing a microservices architecture for IoT backed by Kubernetes allows for limitless scalability and the ability to adjust resources as needed, all while maintaining high performance and resilience against failures. Streamline the data flow from your IoT devices to any analytics platform through a seamlessly integrated Kafka channel, enabling you to modify device behavior based on the insights gained from processing results. The creators of this platform bring over 25 years of expertise in IoT, telecommunications, and big data, leveraging their extensive knowledge to develop an exceptional IoT solution suitable for both large enterprises and emerging startups. Your data remains secure with encryption both during transmission and while stored. Additionally, the platform offers built-in user authentication and authorization features via an open OAuth2 / UMA interface. Easily connect and manage IoT devices through a cloud-based graphical user interface or a RESTful API. Gather and visualize telemetry data using the integrated dashboard or utilize third-party tools such as Grafana for enhanced analysis and presentation of data insights. This comprehensive IoT platform ensures that you have the tools necessary to effectively handle your data and device management needs.

Everyware Cloud (EC) is an Internet of Things (IoT) integration platform developed and maintained by Eurotech. Built on the foundation of Eclipse Kapua, Everyware Cloud features a flexible and open IoT cloud platform that utilizes a microservices architecture. It facilitates comprehensive device management, diagnostics, provisioning, remote access to IoT gateways and devices, as well as integration services for telemetry data. By enabling remote access, users can conduct maintenance and troubleshoot issues without the need for physical visits to the installation site. You can rely on your remote devices thanks to the robust enterprise-level security measures embedded within the Everyware Cloud IoT Platform. Additionally, the platform helps lower integration costs through the use of standard-based interfaces. Device connectivity is supported by the ISO-certified MQTT protocol and employs an open, language-independent data payload format. This ensures seamless communication and data exchange across diverse devices and applications. Overall, Everyware Cloud stands out as a comprehensive solution for managing IoT ecosystems efficiently and securely.

Ayla adopts a genuinely agnostic strategy, facilitating device connectivity through various widely-used transport protocols, connectivity methods, and cloud infrastructure solutions. Compatible with standards such as HTTPS, MQTT, and CoAP, Ayla offers a comprehensive selection of pre-configured agents designed for embedded systems, gateways, Android, Linux, BLE/phones, and cloud connectivity. The company’s Virtualization Engine creates a powerful 'digital twin' of each physical device, establishing a strong groundwork for managing devices at a large scale within the IoT ecosystem. With proven functionalities like a rules engine, firmware Over-The-Air (OTA) updates, and data policies, Ayla's Device Management system ensures thorough support for connected products throughout their entire lifecycle. Additionally, Ayla's application enablement capabilities allow businesses to derive significant value from their data in numerous ways. By providing both a Web Framework and a Mobile Platform SDK, Ayla accelerates the development of consumer and business applications. Furthermore, they offer services such as Customer Care, Field Service, and Asset Tracking, enhancing the overall user experience and operational efficiency.

Cloud IoT Core is a comprehensive managed service designed to facilitate the secure connection, management, and data ingestion from a vast array of devices spread across the globe. By integrating with other services on the Cloud IoT platform, it offers a holistic approach to the collection, processing, analysis, and visualization of IoT data in real-time, ultimately enhancing operational efficiency. Leveraging Cloud Pub/Sub, Cloud IoT Core can unify data from various devices into a cohesive global system that works seamlessly with Google Cloud's data analytics services. This capability allows users to harness their IoT data streams for sophisticated analytics, visualizations, and machine learning applications, thereby improving operational workflows, preempting issues, and developing robust models that refine business processes. Additionally, it enables secure connections for any number of devices—whether just a few or millions—through protocol endpoints that utilize automatic load balancing and horizontal scaling, ensuring efficient data ingestion regardless of the situation. As a result, businesses can gain invaluable insights and drive more informed decision-making processes through the power of their IoT data.

An entirely managed cloud-based solution that facilitates device registration, connectivity, control, quick visualization, and data storage. By integrating chip, app, and cloud technologies, users can fully leverage Watson's cognitive APIs, feature-rich dashboards, extensive developer tools, and top-tier security measures to enhance insights in enterprise IoT. This service provides predictive, real-time, and edge analysis of user, machine, and environmental data, utilizing machine learning and cognitive APIs. It enables governance over applications and devices within an IoT framework, monitoring usage and performance trends, detecting anomalies, and validating data and transactions. The platform connects IoT devices, networks, and gateways through an expanding ecosystem that employs open standards-based communications such as MQTT and HTTPS. Furthermore, it allows for the identification, aggregation, and transformation of data from various IoT sources into structured asset-based data. Users can harness their IoT data to gain insights into current conditions and trends, analyze unstructured data from videos and images, and extract valuable information from unstructured textual data. Ultimately, this service empowers organizations to make informed decisions based on comprehensive data analysis and visualization.

We handle all aspects necessary to energize your IoT innovations, utilizing cutting-edge technology and communication networks to deliver a secure and actionable insight into your internet of things. IoTStream facilitates the development of new products, services, and business models, helping you transform your concepts into tangible outcomes. With our easy-to-use IoT stack and a strong, dependable pre-built infrastructure, you can concentrate on what matters most to your business. By employing industry-standard encryption for device connectivity, we guarantee that your data remains protected from unauthorized access. Furthermore, in addition to offering real-time data streaming, we also store your information in the cloud, which saves you both time and money by removing the need for personal storage management. Our solutions seamlessly integrate with leading platforms, contributing to a comprehensive IoT ecosystem that connects you globally. From the first prototype to the deployment of your millionth device, our scalable solutions empower you to achieve your ultimate potential, ensuring your growth is both sustainable and innovative.

An IoT Application Enablement Platform hosted in the cloud that simplifies the process of creating and quickly launching IoT applications tailored to meet the unique needs of your clients' industries. This single cloud solution addresses all aspects of IoT requirements. Identify your needs, unleash your creativity, develop custom vertical applications, and secure larger contracts. You can create anything from straightforward dashboard applications to sophisticated enterprise-level solutions, utilizing modeling, visualization, and automation techniques. Experience swift deployment that shortens time to market, minimizes execution risks, ensures comprehensive security, is economically viable, and allows for scalability. The platform supports essential functions such as registration, provisioning, authentication, monitoring, control, troubleshooting, telemetry, and firmware updates for IoT devices and assets on a large scale while adhering to device certificates and policies. It offers seamless connectivity options for a diverse range of sensors and gateways, accommodates multiple communication protocols, and effortlessly integrates with different wired and wireless communication methods. Ultimately, this platform empowers businesses to innovate and streamline their IoT strategies effectively.

AWS IoT Core enables seamless connectivity between IoT devices and the AWS cloud, eliminating the need for server provisioning or management. Capable of accommodating billions of devices and handling trillions of messages, it ensures reliable and secure processing and routing of communications to AWS endpoints and other devices. This service empowers applications to continuously monitor and interact with all connected devices, maintaining functionality even during offline periods. Furthermore, AWS IoT Core simplifies the integration of various AWS and Amazon services, such as AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker, Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, Amazon QuickSight, and Alexa Voice Service, facilitating the development of IoT applications that collect, process, analyze, and respond to data from connected devices without the burden of infrastructure management. By utilizing AWS IoT Core, you can effortlessly connect an unlimited number of devices to the cloud and facilitate communication among them, streamlining your IoT solutions. This capability significantly enhances the efficiency and scalability of your IoT initiatives.

Introducing IoTConnect – a comprehensive and all-encompassing enterprise IoT platform designed to meet all your IoT product needs, from devices to the cloud and actionable insights. With IoTConnect, you can effortlessly connect your devices and extract valuable insights from the gathered data, empowering you to make informed business decisions. Our platform is tailored to deploy applications specific to different industries, providing advantages such as enhanced ROI, minimized downtime, and an improved user experience. Featuring a unified suite of tools, technologies, SDKs, APIs, and protocols, IoTConnect supports a wide array of IoT solutions. Each unique solution is built with clearly defined protocols and technologies, specifically crafted to meet the distinct business objectives of various industry sectors. Moreover, it offers a standardized framework that facilitates connections with popular systems like Kibana, Power BI, and Tableau, further enhancing your data analysis capabilities. By choosing IoTConnect, you position your enterprise to thrive in an increasingly connected world.

Utilize a comprehensive, AI-integrated solution to access, organize, select, and transform data from the Internet of Things. SAS Analytics for IoT encompasses the entire analytics life cycle related to IoT, featuring a streamlined and extensible ETL process, a data model focused on sensors, and an advanced analytics framework supported by a premier streaming execution engine that facilitates complex multi-phase analytics. Powered by SAS® Viya®, this solution operates efficiently within a fast, in-memory distributed setting. Discover how to create SAS Event Stream Processing applications capable of handling high-volume and high-velocity data streams, delivering real-time responses while retaining only the essential data elements. This course introduces fundamental principles of event stream processing, detailing the various component objects that can be utilized to construct effective event stream processing applications. Our commitment to curiosity drives innovation, as SAS analytics solutions convert raw data into actionable insights, empowering customers globally to embark on bold new ventures that foster advancement. Embrace the future of data analytics and unlock limitless possibilities with SAS.

Airlinq is driving the advancement and implementation of large-scale connected applications focused on smart mobility and ecosystem monetization for automakers, mobile network operators, and consumers worldwide. This innovative platform supports the next generation of enterprise-grade cloud and edge solutions, adept at managing complex AI and IoT scenarios for an emerging array of connected assets such as vehicles, autonomous pods, and drones. Designed to be highly scalable and globally accessible, the platform is equipped to cater to millions of connected devices and vehicles while ensuring critical latency, security, and reliability. By integrating third-party service providers, you can unlock the potential of your connected infrastructure, whether it be a vehicle or a wearable device. This integration allows for the delivery of hundreds of personalized and contextual digital services directly to consumers, enhancing their experience. Furthermore, it fosters seamless service provisioning, consent management, payment processing, and billing, ultimately creating a remarkable and efficient user journey. The future of connected mobility is here, and it's transforming the way consumers interact with technology.

Oracle’s IoT Intelligent Applications Cloud offers enhanced visibility, insights, and operational efficiencies by harnessing sensor data from interconnected devices, focusing on smart manufacturing, connected assets, logistics, workplace safety, and the customer experience. By leveraging IoT applications, businesses can boost revenue through improved efficiency, heightened supply chain transparency, and the introduction of innovative business models. Additionally, real-time sensor data facilitates the prevention of downtime by enabling proactive maintenance of machinery, vehicles, and various assets. Cost reduction is achievable by monitoring vehicle routes and tracking products during transit, ensuring optimal resource management. Furthermore, this platform helps maintain regulatory compliance and swiftly identifies causes of incidents through real-time insights into workplace conditions, ultimately fostering a safer work environment. Adopting these advanced IoT solutions can significantly transform operational strategies and drive sustainable growth.

The Waylay platform is a modular IoT solution that offers top-tier OEM technology for backend development and operational processes, facilitating the rapid delivery of IoT solutions on a large scale. It features sophisticated rule logic modeling, execution capabilities, and comprehensive lifecycle management. This platform allows for the automation of various data workflows, regardless of their complexity. Designed to seamlessly handle the diverse data patterns found in IoT, OT, and IT, Waylay integrates both streaming and time series analytics into a single, collaborative intelligence environment. By providing non-developer teams with user-friendly, self-service apps focused on key performance indicators, it significantly shortens the time to market for IoT products. Users can identify the most effective automation tools for their specific IoT applications and evaluate them against established benchmarks. Additionally, developing IoT applications diverges significantly from traditional IT development, as it entails connecting the physical realm of Operations Technology, which involves sensors and actuators, with the digital landscape of Information Technology, encompassing databases and software systems. This bridging of worlds highlights the unique challenges and opportunities presented by IoT application development.

The Skysens IoT platform serves as a versatile application layer featuring middleware specifically designed for Internet of Things (IoT) solutions. This platform seamlessly integrates with a variety of IoT sources, whether they are IP-based or utilize non-IP technologies like LPWAN, offering a plethora of functionalities such as user management, alarming, reporting, and rule management among others. With the robust Skysens middleware, it is capable of interfacing with pre-existing legacy data systems, including SCADA, while maintaining full operational capabilities. The platform provides distinct application modules tailored for smart industries, smart cities, and smart enterprises, ensuring user-friendly access. It also includes various pre-configured applications that address needs such as condition monitoring, location tracking both indoors and outdoors, and maintenance oversight. Enhanced by a device ID-based cross-rule function, it facilitates the creation of intelligent actions based on established rules through the bi-directional connectivity of LPWAN networks. Additionally, the platform features an API server that supports connectivity-agnostic integration of LPWAN-based applications via REST APIs. Furthermore, the Skysens mobile application is readily available for download on both Android and iOS devices, allowing users to engage with the platform conveniently on their smartphones.

Cumulocity IoT stands out as the premier low-code, self-service IoT platform, uniquely offering pre-integration with essential tools for rapid outcomes, including device connectivity and management, application enablement, integration, and advanced analytics for both streaming and predictive insights. Break free from restrictive proprietary technology ecosystems, as this platform is entirely open, allowing you to connect any device today or in the future. Customize your setup by bringing your own hardware and selecting the components that suit your needs best. You can quickly jump into the IoT world within minutes by connecting a device, monitoring its data, and crafting an interactive dashboard in real-time. Additionally, you can establish rules to oversee and respond to events—all without needing IT assistance or writing any code! Effortlessly integrate fresh IoT data into the existing core enterprise systems, applications, and processes that have supported your business for years, again without the need for coding, ensuring seamless data flow. This capability enhances your understanding, providing you with richer context to make informed decisions and improve overall business outcomes.

Thingplus oversees a range of IoT devices that encompass various infrastructures and systems, including solar energy facilities and motor systems utilized in manufacturing, alongside straightforward environmental sensors. These devices maintain connectivity to the Internet via diverse communication methods, allowing for real-time management and oversight. An authentic end-to-end IoT platform serves as a comprehensive software framework that facilitates device connectivity, data collection, analysis, visualization, real-time alerts, and remote control through a rules engine, while also enabling integration with external cloud services. This platform transforms critical business data from physical formats to digital insights, thereby fostering digital transformation and enhancing data integration services. By harnessing meaningful data from your operations, effective management of your business becomes achievable. Moreover, it enables the consolidated oversight of vital facilities and equipment, ensuring that data monitoring and real-time control are seamlessly integrated into the management services. Ultimately, this holistic approach enhances operational efficiency and decision-making processes.

Are you overseeing the operation or development of robotic fleets? Robot Cloud offers an ideal platform for gaining insights into device conditions while ensuring quick resolutions to potential issues. Whether you are conducting field trials for autonomous vehicles or managing a fleet of commercial transport options, MODE enables you to gather real-time sensor data from your vehicles and trips, allowing for immediate application to enhance operational efficiency. Leveraging cloud-based technology, MODE seamlessly integrates with any required sensors, ranging from Smart Home management to tracking utility expenses in manufacturing settings. With capabilities for large-scale real-world data system analysis, it provides continuous monitoring and firmware management for over 10,000 installations. Designed to reliably transmit data even in challenging network conditions, our Gateway ensures consistent data collection and analysis, available around the clock for extended periods. Furthermore, you can initiate your journey with as little as one unit for testing purposes, making it a much quicker and more cost-effective alternative compared to traditional in-house solutions, enabling businesses to innovate without significant upfront investments.

IoT-edge Solution for Industry4.0, Smart Monitoring and Buildings. Monitor and control energy consumptions, increase energy efficiency, and improve productivity. Enture Edge and Enture IoT allows you to connect existing VFDs, PLCs, energy meters, etc to the Cloud. You can get started quickly with Enture Cloud HMI (mobile/webapp) installation and configuration without complicated engineering or protocol configurations. The Enture Edge is a new technology that encrypts data from all devices, VFDs and energy meters. It then syncs the data with Enture Cloud for multiple users to view via web and mobile apps. Enture can store the data locally and sync it to the cloud in the event of an internet outage. Give your factories an edge by upgrading from Industry3.0 into Industry4.0. Enture IoT Edge has been created to facilitate the I4.0 transition through plug-and-play integration.

IoTWorX™ integrates ICONICS' advanced IoT software technology with its established HMI/SCADA systems, analytics, and mobile applications operating in the cloud. This platform provides manufacturers and facility managers with essential IoT capabilities, such as asset connectivity, secure cloud communications, and integrated real-time visualization features. By utilizing edge analytics, latency is greatly reduced, and FDD technology is employed to enhance cost savings and boost operational effectiveness. Furthermore, users have the flexibility to connect with nearly any automation equipment by utilizing a variety of supported industry protocols, including OPC UA, BACnet, SNMP, Modbus, web services, and traditional OPC tunneling. This comprehensive approach ensures that businesses can maintain a competitive edge in their operations.

Memfault upgrades Android and MCU-based smartphones to reduce risk, ship products quicker, and resolve issues quickly. Developers and IoT device makers can easily and quickly monitor and manage the entire device's lifecycle, including feature updates and development, by integrating Memfault in smart device infrastructure. Remotely monitor firmware and hardware performance, investigate issues remotely, and roll out targeted updates incrementally to devices without interrupting customers. You can do more than just application monitoring. Get device- and fleet-level metrics like battery health, connectivity, and crash analytics for firmware. Automated detection, alerts and deduplication make it easier to resolve issues faster. Customers will be happy if bugs are fixed quickly and features are shipped more often with staged rollouts (cohorts) and for specific device groups (cohorts).

Tailored to enhance your projects, Kii offers versatile deployment solutions for both public and private clouds. It connects a diverse range of devices to the cloud while maintaining high levels of availability and interoperability. Kii is stable, continuously monitored, and fully managed to ensure optimal performance and security, allowing for instantaneous scaling and remote firmware updates, thus relieving your IT team of platform management burdens. Although managing connections from various vendors can be challenging, Kii streamlines M2M, M2P, and P2P interactions through its API-driven platform. Additionally, you can tap into our vibrant community of mobile developers to create complementary applications that support your IoT projects. With Kii, you benefit from flexible public and private deployment choices, rapid server provisioning, and automated updates to the platform. We keep track of usage spikes and any performance issues, eliminating the need for you to monitor these factors. You can swiftly deploy, interact with, and manage the enabling or disabling of devices, as well as efficiently handle configurations and firmware updates from a distance, making your IoT operations seamless and effective. This comprehensive approach ensures that your technology needs are met without unnecessary complications.

Experience Apache Kafka offered as a fully managed service that avoids vendor lock-in while providing comprehensive features for constructing your streaming pipeline. You can establish a fully managed Kafka instance in under 10 minutes using our intuitive web console or programmatically through our API, CLI, Terraform provider, or Kubernetes operator. Seamlessly integrate it with your current technology infrastructure using more than 30 available connectors, and rest assured with comprehensive logs and metrics that come standard through our service integrations. This fully managed distributed data streaming platform can be deployed in any cloud environment of your choice. It’s perfectly suited for applications that rely on event-driven architectures, facilitating near-real-time data transfers and pipelines, stream analytics, and any situation where swift data movement between applications is essential. With Aiven’s hosted and expertly managed Apache Kafka, you can effortlessly set up clusters, add new nodes, transition between cloud environments, and update existing versions with just a single click, all while keeping an eye on performance through a user-friendly dashboard. Additionally, this service enables businesses to scale their data solutions efficiently as their needs evolve.

Red Hat® OpenShift® Streams for Apache Kafka is a cloud-managed service designed to enhance the developer experience for creating, deploying, and scaling cloud-native applications, as well as for modernizing legacy systems. This service simplifies the processes of creating, discovering, and connecting to real-time data streams, regardless of their deployment location. Streams play a crucial role in the development of event-driven applications and data analytics solutions. By enabling seamless operations across distributed microservices and handling large data transfer volumes with ease, it allows teams to leverage their strengths, accelerate their time to value, and reduce operational expenses. Additionally, OpenShift Streams for Apache Kafka features a robust Kafka ecosystem and is part of a broader suite of cloud services within the Red Hat OpenShift product family, empowering users to develop a diverse array of data-driven applications. With its powerful capabilities, this service ultimately supports organizations in navigating the complexities of modern software development.

Achieve limitless data retention for Apache Kafka® with Confluent, empowering you to be infrastructure-enabled rather than constrained by outdated systems. Traditional technologies often force a choice between real-time processing and scalability, but event streaming allows you to harness both advantages simultaneously, paving the way for innovation and success. Have you ever considered how your rideshare application effortlessly analyzes vast datasets from various sources to provide real-time estimated arrival times? Or how your credit card provider monitors millions of transactions worldwide, promptly alerting users to potential fraud? The key to these capabilities lies in event streaming. Transition to microservices and facilitate your hybrid approach with a reliable connection to the cloud. Eliminate silos to ensure compliance and enjoy continuous, real-time event delivery. The possibilities truly are limitless, and the potential for growth is unprecedented.

Kosmos champions open hardware and data protocols, delivering exceptional flexibility without sacrificing user-friendliness. You maintain control over your data and devices, steering clear of proprietary solutions and vendor lock-in. There's no need for any coding or software expertise, as Kosmos automatically generates the necessary applications, fine-tuning device code to reduce power and memory usage effectively. Additionally, it provides proactive alerts about potential issues and sends automatic notifications when unusual sensor events arise. Effortlessly gather environmental data using connected sensors, all without the need for programming skills. This seamless integration allows users of all backgrounds to harness the power of technology with ease.

Davra IoT empowers businesses, fleet operators, original equipment manufacturers (OEMs), municipalities, and various organizations to conceptualize, develop, and swiftly launch industrial-grade IoT applications on a dependable, secure, and scalable platform. Bring your IoT initiative to market in under 50 days, and enjoy a system that prioritizes integrations. Significantly cut your project costs by as much as 80%, while accessing comprehensive analytics that include descriptive, diagnostic, predictive, and prescriptive insights. Utilize our cloud-based streaming analytics alongside machine learning, natural language processing, and artificial intelligence capabilities directly at the network's edge. Benefit from HTML5 dashboard visualizations, sophisticated geo-mapping, and an intuitive layout manager, among other features. Gain access to a thorough developer suite that includes source control, versioning, and a full code editor. Achieve an "asset-centric view" of your IoT devices by incorporating both static and dynamic attributes into your applications. Additionally, take advantage of a fully microservice-oriented design that supports infrastructure libraries and runtime engines for enhanced efficiency and performance. This comprehensive approach ensures that your IoT solutions are not only functional but also adaptable to future technological advancements.

Implement sensors tailored for IoT applications and enhance the data collected by integrating it with environmental and control system information. This integration should occur in real-time with enterprise data, facilitating the deployment of predictive algorithms to uncover fresh insights and leverage your data for impactful purposes. Utilize advanced analytics to foresee maintenance issues, gain insights into asset usage, minimize defects, and fine-tune processes. Capitalize on the capabilities of connected devices to provide remote monitoring and diagnostic solutions. Furthermore, use IoT analytics to anticipate safety risks and ensure compliance with regulations, thereby decreasing workplace accidents. Lumada Data Integration allows for the swift creation and expansion of data pipelines, merging information from various sources, including data lakes, warehouses, and devices, while effectively managing data flows across diverse environments. By fostering ecosystems with clients and business associates in multiple sectors, we can hasten digital transformation, ultimately generating new value for society in the process. This collaborative approach not only enhances innovation but also leads to sustainable growth in an increasingly interconnected world.

The Bosch IoT Suite enables the creation of abstract models for tangible assets or devices within the cloud. These digital twins encapsulate every functionality and characteristic of their physical equivalents. By maintaining and refreshing the data, attributes, and connections of an asset, along with sending alerts about significant changes, it ensures a seamless synchronization between the real and digital realms. This innovative approach allows for enhanced monitoring and management of assets, facilitating better decision-making and operational efficiency.

Building a dedicated team to create and sustain a connected solution from the ground up can span several years and cost millions of dollars. In contrast, Exosite offers ready-made solutions for condition monitoring, smart home applications, and OEM-connected products that can be launched on the Murano platform instantly, allowing you to start generating value immediately. Exosite's Murano and its pre-packaged solutions are typically offered as multi-tenant hosted infrastructure, which is overseen and supported by the Exosite Dev-Ops team for optimal performance. For organizations that need to keep their software and data within their own infrastructure, single-tenant and on-premise hosting alternatives are also available. This flexibility empowers you to confidently manage a growing array of connected devices, users, analytics, and data storage needs. By utilizing Exosite’s Murano platform, you can effectively navigate the complexities of scaling your infrastructure, enabling you to concentrate on enhancing your business operations and strategies.

Establish innovative benchmarks in the smart hotel sector by offering comprehensive software and hardware integration solutions that enable clients to swiftly create their own branded hotels and overarching business scenario strategies. Tuya's low-code MCU connection service is specifically designed for developing intelligent products utilizing an MCU master controller, streamlining the process. By providing network modules connected to Tuya Cloud, Tuya allows you to concentrate solely on R&D for product functionality, enabling rapid and efficient development of smart products using Tuya’s MCU SDK. This approach eliminates the need for intricate design, testing, and calibration of complex radio frequency circuits. With Tuya's network modules and MCU SDKs, the modular development process is simplified, significantly reducing the time required to bring your product to mass production. Moreover, you don’t have to switch out the master control chip; simply integrate Tuya's cost-effective module with your existing hardware to transform it into a smart product, enhancing both efficiency and innovation in your offerings. This seamless integration not only accelerates product development but also helps businesses stay competitive in the evolving tech landscape.

Prodea enables the rapid launch of secure, scalable, and globally compliant connected products and services within a six-month timeframe. As the sole provider of an IoT platform-as-a-service (PaaS) tailored for manufacturers of mass-market consumer home products, Prodea offers three core services: the IoT Service X-Change Platform, which allows for the swift introduction of connected products into diverse global markets with minimal development effort; Insight™ Data Services, which provides critical insights derived from user and product usage analytics; and the EcoAdaptor™ Service, designed to enhance the value of products through seamless cloud-to-cloud integration and interoperability with various other products and services. Prodea has successfully assisted its global brand partners in launching over 100 connected products, averaging less than six months for completion, across six continents. This achievement is largely attributed to the Prodea X5 Program, which integrates with the three primary cloud services to support brands in evolving their systems effectively and efficiently. Additionally, this comprehensive approach ensures that manufacturers can adapt to changing market demands while maximizing their connectivity capabilities.

Supports secure connections with devices that utilize HTTP and MQTT protocols, while receiving data from LoRa Network Servers as well as streams from various IoT Clouds. This versatile serverless computing environment, often referred to as function as a service (FaaS), offers online editing capabilities along with codecs and integrations. It processes and normalizes incoming data from devices, translating uplink messages and encoding downlink commands to streamline integration function deployment. The system efficiently manages device registration, configuration, provisioning, and facilitates Firmware Over The Air (FOTA) scheduling and batching. Users can easily deregister and reregister devices through the LNS Switch feature. It securely stores LoRaWAN keys and SSL/TLS certificates, providing access to real-time data insights. With exceptional performance, it can handle large volumes of data, allowing for quick queries across billions of telemetric and historical records. Capable of ingesting millions of data points in a second, it also offers vertical and horizontal scalability driven by a robust data streaming processing engine. Additionally, this architecture ensures that data management remains efficient and responsive, adapting to the ever-growing demands of IoT applications.

The Zebra Savanna cloud data platform offers valuable insights into workflows and enhances next-generation applications by collecting and analyzing real-time data from the edge, thereby forming systems that provide optimal guidance for workers on the spot. It effectively integrates with your current hardware, software, and data networks to support the digitization and automation of businesses. Furthermore, Zebra Savanna provides accessible, unified APIs and developer tools that enable the rapid and secure creation of scalable digital services. Thanks to the enhanced API layer available on Zebra Savanna, Zebra Data Services empowers partners and developers to innovate, design, and swiftly launch applications that assist customers in transforming their operations, thus fostering an ecosystem that reaches well beyond the Zebra brand. Acting as the cornerstone of a new suite of enterprise applications and solutions, Zebra Savanna aims to revolutionize the manner in which organizations enhance their performance and efficiency in the digital age. This creates new opportunities for collaboration and innovation among businesses, ultimately leading to a more interconnected and dynamic marketplace.

Amazon Managed Streaming for Apache Kafka (Amazon MSK) simplifies the process of creating and operating applications that leverage Apache Kafka for handling streaming data. As an open-source framework, Apache Kafka enables the construction of real-time data pipelines and applications. Utilizing Amazon MSK allows you to harness the native APIs of Apache Kafka for various tasks, such as populating data lakes, facilitating data exchange between databases, and fueling machine learning and analytical solutions. However, managing Apache Kafka clusters independently can be quite complex, requiring tasks like server provisioning, manual configuration, and handling server failures. Additionally, you must orchestrate updates and patches, design the cluster to ensure high availability, secure and durably store data, establish monitoring systems, and strategically plan for scaling to accommodate fluctuating workloads. By utilizing Amazon MSK, you can alleviate many of these burdens and focus more on developing your applications rather than managing the underlying infrastructure.

Discover the ease of your SaaS solution for Industrial IoT (Internet of Things), which requires no prior cloud knowledge to utilize effectively. Gaonic Industrial IoT Central serves as a fully managed global IoT SaaS solution tailored for businesses, enabling straightforward connection, visualization, analysis, and management of IoT assets on a large scale. Accelerate the launch of your connected products while keeping your focus firmly on customer needs with this SaaS offering. We specialize in providing a cloud-based sensor analytics platform designed specifically for the Internet of Things (IoT). This emerging trend is rapidly transforming industries by fostering product innovation and enhancing revenue possibilities through the interconnectivity of smart devices. Leveraging cloud technologies, Gaonic ensures a seamless networking experience, even for remote systems, thus simplifying the integration of various devices into your operations. By embracing this innovative approach, your organization can stay ahead in the competitive landscape of IoT solutions.

Data Collection Core is a software solution from Iotsmart that facilitates the real-time gathering of data from OPC Servers and various devices, processes it, and allows for output to multiple storage solutions simultaneously, consolidating information from all connected devices in one centralized location. You can operate the DCC in the cloud or on-premises, utilizing platforms like Azure IoT Edge, AWS IoT Edge, or virtual machines with a containerized setup. This ensures you receive accurate data directly from your sensors while connecting seamlessly with OPC UA and HTTPS outputs, allowing for the integration of numerous devices with performance that surpasses standard client solutions. The system also supports server redundancy for OPC UA and MQTT, ensuring reliability and continuity. Our team of IoT specialists is available for support, providing troubleshooting assistance and tailored customer service to enhance your experience. With our focus on managing your digital solutions, you can concentrate on running your business effectively. The entire system is packaged using Docker images, making it easy to deploy across various cloud platforms, including Azure and AWS, ensuring flexibility and scalability for your operations.

One Platform for Realtime Communication: A platform to build and operate real-time interactivity for web, mobile, AI/ML, IoT, and Edge computing applications Faster & Easier Deployments: SDK support for 50+ mobile, web, server, and IoT environments (PubNub & community supported) and more than 65 pre-built integrations with external and third-party APIs to give you the features you need regardless of programming language or tech stack. Scalability: The industry’s most scalable platform capable of supporting millions of concurrent users for rapid growth with low latency, high uptime, and without financial penalties.

DeltaStream is an integrated serverless streaming processing platform that integrates seamlessly with streaming storage services. Imagine it as a compute layer on top your streaming storage. It offers streaming databases and streaming analytics along with other features to provide an integrated platform for managing, processing, securing and sharing streaming data. DeltaStream has a SQL-based interface that allows you to easily create stream processing apps such as streaming pipelines. It uses Apache Flink, a pluggable stream processing engine. DeltaStream is much more than a query-processing layer on top Kafka or Kinesis. It brings relational databases concepts to the world of data streaming, including namespacing, role-based access control, and enables you to securely access and process your streaming data, regardless of where it is stored.

WarpStream serves as a data streaming platform that is fully compatible with Apache Kafka, leveraging object storage to eliminate inter-AZ networking expenses and disk management, while offering infinite scalability within your VPC. The deployment of WarpStream occurs through a stateless, auto-scaling agent binary, which operates without the need for local disk management. This innovative approach allows agents to stream data directly to and from object storage, bypassing local disk buffering and avoiding any data tiering challenges. Users can instantly create new “virtual clusters” through our control plane, accommodating various environments, teams, or projects without the hassle of dedicated infrastructure. With its seamless protocol compatibility with Apache Kafka, WarpStream allows you to continue using your preferred tools and software without any need for application rewrites or proprietary SDKs. By simply updating the URL in your Kafka client library, you can begin streaming immediately, ensuring that you never have to compromise between reliability and cost-effectiveness again. Additionally, this flexibility fosters an environment where innovation can thrive without the constraints of traditional infrastructure.

IBM Event Streams is a comprehensive event streaming service based on Apache Kafka, aimed at assisting businesses in managing and reacting to real-time data flows. It offers features such as machine learning integration, high availability, and secure deployment in the cloud, empowering organizations to develop smart applications that respond to events in real time. The platform is designed to accommodate multi-cloud infrastructures, disaster recovery options, and geo-replication, making it particularly suitable for critical operational tasks. By facilitating the construction and scaling of real-time, event-driven solutions, IBM Event Streams ensures that data is processed with speed and efficiency, ultimately enhancing business agility and responsiveness. As a result, organizations can harness the power of real-time data to drive innovation and improve decision-making processes.

Apache Kafka® is a robust, open-source platform designed for distributed streaming. It can scale production environments to accommodate up to a thousand brokers, handling trillions of messages daily and managing petabytes of data with hundreds of thousands of partitions. The system allows for elastic growth and reduction of both storage and processing capabilities. Furthermore, it enables efficient cluster expansion across availability zones or facilitates the interconnection of distinct clusters across various geographic locations. Users can process event streams through features such as joins, aggregations, filters, transformations, and more, all while utilizing event-time and exactly-once processing guarantees. Kafka's built-in Connect interface seamlessly integrates with a wide range of event sources and sinks, including Postgres, JMS, Elasticsearch, AWS S3, among others. Additionally, developers can read, write, and manipulate event streams using a diverse selection of programming languages, enhancing the platform's versatility and accessibility. This extensive support for various integrations and programming environments makes Kafka a powerful tool for modern data architectures.

Event Hubs provides a fully managed service for real-time data ingestion that is easy to use, reliable, and highly scalable. It enables the streaming of millions of events every second from various sources, facilitating the creation of dynamic data pipelines that allow businesses to quickly address challenges. In times of crisis, you can continue data processing thanks to its geo-disaster recovery and geo-replication capabilities. Additionally, it integrates effortlessly with other Azure services, enabling users to derive valuable insights. Existing Apache Kafka clients can communicate with Event Hubs without requiring code alterations, offering a managed Kafka experience while eliminating the need to maintain individual clusters. Users can enjoy both real-time data ingestion and microbatching on the same stream, allowing them to concentrate on gaining insights rather than managing infrastructure. By leveraging Event Hubs, organizations can rapidly construct real-time big data pipelines and swiftly tackle business issues as they arise, enhancing their operational efficiency.

HiveMQ is the most trusted enterprise MQTT platform, purpose-built to connect anything via MQTT, communicate reliably, and control IoT data. The platform can be deployed anywhere, on-premise or in the cloud, giving developers the flexibility and freedom they need to evolve as their IoT deployment grows. HiveMQ is reliable under real-world stress, scales without limits, and provides enterprise-grade security to meet the needs of organizations at any stage of digital transformation. The extensible platform provides seamless connectivity to the leading data streaming, databases, and data analytics platforms, plus offers a custom SDK for a perfect fit in any stack.

The world of IoT connected devices generates an enormous volume of data every second. To harness the potential of this data, it is essential to utilize live data visualization and tracking tools that enable timely actions. An IoT Dashboard serves as a dynamic companion for all your IoT devices, effectively extracting the necessary data for analysis. This tool allows for real-time tracking, reporting, and interactive data visualizations. Such a captivating and immediate method of presenting data ensures that even individuals without technical expertise can comprehend the information easily and respond accordingly, making it suitable for a wide array of IoT applications. Additionally, a specialized MQTT dashboard simplifies the monitoring and management of real-time data, providing a vibrant overview of the latest events occurring within the Bevywise MQTT Broker. The IoT Platform also functions as a robust device management system designed to oversee IoT devices while collecting and storing valuable data from them. Bevywise IoT Platform supports both single and multi-tenancy architectures, enabling you to onboard all your customers seamlessly, thereby enhancing the overall management experience. This flexible approach allows businesses to scale effectively while ensuring that every user's needs are met.

The Streaming service is a real-time, serverless platform for event streaming that is compatible with Apache Kafka, designed specifically for developers and data scientists. It is seamlessly integrated with Oracle Cloud Infrastructure (OCI), Database, GoldenGate, and Integration Cloud. Furthermore, the service offers ready-made integrations with numerous third-party products spanning various categories, including DevOps, databases, big data, and SaaS applications. Data engineers can effortlessly establish and manage extensive big data pipelines. Oracle takes care of all aspects of infrastructure and platform management for event streaming, which encompasses provisioning, scaling, and applying security updates. Additionally, by utilizing consumer groups, Streaming effectively manages state for thousands of consumers, making it easier for developers to create applications that can scale efficiently. This comprehensive approach not only streamlines the development process but also enhances overall operational efficiency.