Alternatives to Embiot

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.

Instant™, Enterprise Data and Intelligence. All transaction data is visible, as it happens, from anywhere in the world. Organizations can access worldwide accounting, liquidity management, marketing, and supply chain information with just one network connection. This allows them to be empowered with enterprise intelligence. The TreasuryPay product set streams global receivables information and provides instant accountancy as well as cognitive services. It is simply the most advanced intelligence platform and insights platform available to global organizations. You can instantly provide enriched information to your entire global organization. It's easy to make the change. The Return on Investment is remarkable. With TreasuryPay Instant™, you can now access actionable intelligence and global accountancy in real-time.

FairCom EDGE makes it easy to integrate sensor and machine data at their source - be that a factory, water treatment facility, oil platform, wind farm, or other industrial site. FairCom EDGE is the first converged IoT/Industrial IoT hub in the world. It unifies messaging and persistence with an all-in one solution. It also offers browser-based administration, configuration, and monitoring. FairCom EDGE supports MQTT, OPC UA and SQL for machine-tomachine (M2M), communication, and HTTP/REST for monitoring and real-time reporting. It constantly retrieves data from sensors and devices with OPC UA support and receives messages from machines with MQTT support. The data is automatically parsed and persisted, and made available via MQTT or SQL.

EMQX is the world's most scalable and reliable MQTT messaging platform designed by EMQ. It supports 100M concurrent IoT device connections per cluster while maintaining extremely high throughput and sub-millisecond latency. EMQX boasts more than 20,000 global users from over 50 countries, connecting more than 100M IoT devices worldwide, and is trusted by over 300 customers in mission-critical IoT scenarios, including well-known brands like HPE, VMware, Verifone, SAIC Volkswagen, and Ericsson. Our edge-to-cloud IoT data solutions are flexible to meet the demands of various industries towards digital transformation, including connected vehicles, Industrial IoT, oil & gas, carrier, finance, smart energy, and smart cities. EMQX Enterprise: The World’s # 1 Scalable MQTT Messaging Platform -100M concurrent MQTT connections -1M/s messages throughput under 1ms latency -Business-critical reliability, Up to 99.99% SLA -Integrate IoT data seamlessly with over 40 cloud services and enterprise systems EMQX Cloud: Fully Managed MQTT Service for IoT - Scale as you need, pay as you go - Flexible and rich IoT data integration up to 40+ choices - Run in 19 regions across AWS, GCP, and Microsoft Azure - 100% MQTT

Zoho IoT is a unified IoT application development platform that enables enterprises and system integrators to connect devices, process real-time data, and automate operational workflows at scale. It supports diverse use cases including smart infrastructure, industrial automation, energy optimization, fleet tracking, and remote asset monitoring. The platform offers native support for industrial and IoT protocols, real-time stream processing, configurable digital twins, and rule-based automation for alarms, actions, and integrations. Zoho IoT also supports edge computing scenarios, allowing critical data processing closer to devices for reduced latency and improved reliability. Designed for scalability and flexibility, Zoho IoT allows teams to build custom dashboards, analytics, and workflows using low-code tools while maintaining full control over security, data retention, and access policies. Its integration with the broader Zoho ecosystem enables seamless connection between operational data and business systems, driving smarter, data-driven decisions.

Create advanced applications that streamline workflows, provide ongoing operational monitoring, and manage processes in real-time. Your solutions are designed to operate continuously on cloud servers as well as edge devices. Utilizing a familiar spreadsheet interface, you don't need to be a programmer; instead, you can simply drag and drop data, enter formulas into cells, and create charts in an intuitive manner. All the essential protocols required for connecting to sensors and machinery, such as MQTT, REST, and OPC UA, are readily available. Streamsheets specializes in processing streaming data, including formats like MQTT and Kafka. You can select a topic stream, modify it as needed, and send it back into the vast world of streaming data. With REST, you gain access to a multitude of web services, while Streamsheets enables seamless connections both ways. Not only do Streamsheets operate in the cloud and on your servers, but they can also be deployed on edge devices, including Raspberry Pi, expanding their versatility to various environments. This flexibility allows businesses to adapt their systems according to their specific operational needs.

A hardware agnostic, Industrial Data Platform that allows manufacturing companies to do more with their data. Litmus Edge creates a data layer that makes IIoT more accessible on the factory floor and across the enterprise so you can focus on what matters most for your business. With Litmus Edge Manager, you also get a centralized management and orchestration layer for device, data, application and ML model management at any scale across plants and geographies. Now try our product for free. 15 days of free trial to check all the features, free access to our documentation, how to guides, along with access to our experts. Wanted a fully loaded hosted instance for a starter node? Just let us know.

Gravio offers innovative methods to engage with your surroundings by harnessing the capabilities of IoT, sensors, edge computing, computer vision, and AI, all without requiring any programming expertise. This user-friendly software platform is compatible with Windows, macOS, and Linux systems. It allows seamless connectivity to various inputs and outputs, including integral IoT sensors, AI-driven cameras, and APIs such as MQTT and HTTP. With its straightforward interface, Gravio can be utilized effectively without any software development skills. By linking sensors, input devices, cameras, and APIs, Gravio captures and disseminates information, paving the way for novel interactions and insights that enrich physical spaces. The platform empowers entrepreneurs and organizations from diverse sectors to design tailored, connected experiences in both new and existing environments by providing a robust low-code/no-code framework. Ultimately, Gravio stands as a gateway to unlocking the full potential of interconnected technologies for users of all backgrounds.

AriLinc serves as an industrial IoT gateway, seamlessly converting a variety of PLC Modbus RTU and Modbus TCP protocols into Modbus TCP, OPC UA, MQTT, AWS, and additional protocols. Featuring an embedded Linux system, AriLinc ensures secure data transmission with TSL and SSL encryption, while providing connectivity options that include 1 RS232/RS485 serial input, 1 power output, 2 Ethernet ports, and 2 USB ports, along with support for SIM and SD cards. The device's integrated 4G network or Ethernet capabilities enable fast and low-latency Internet access. Complementing this, the Lora Gateway S281 series is designed for data acquisition utilizing Lora technology, facilitating the connection of wireless sensors and a wireless RS485 serial data converter. This technology finds extensive application in environments such as agricultural greenhouses, chemical plants, electroplating facilities, hospitals, and storage warehouses, where it is essential for real-time monitoring and collection of temperature and humidity data. Additionally, we provide a wide array of IT solutions, including tailored software development, mobile app and web development, as well as offshore IT consulting services, ensuring that diverse client needs are met efficiently. Ultimately, our focus on innovation and customization positions us as a leader in the industrial IoT landscape.

The Datacake platform enables you to implement various Industrial IoT applications, including condition monitoring, data logging, real-time dashboards, and comprehensive data analytics. You can easily connect devices and gateways using LoRaWAN or NB-IoT protocols. With options like MQTT and other interfaces, the platform offers flexibility in integration. Utilizing the Datacake IoT platform along with Ready-to-Use LoRaWAN sensors, you can effectively monitor water levels in various settings, whether in flowing streams, stagnant ponds, or storage containers. Additionally, the platform features modern online mapping tools that allow you to visualize the real-time locations of your IoT assets, such as sensors and machines, on Interactive Maps. You can also track the historical routes traversed by these devices, providing valuable insights directly on the map. Furthermore, you have the capability to upload images and position sensors within detailed floor plans, hall layouts, or other relevant diagrams. This functionality allows you to present on-site conditions to your customers in an intuitive manner. Data can be sent to your devices on Datacake using webhooks, and there are also payload decoders available for handling HTTP requests. By leveraging these features, businesses can enhance their operational efficiency and improve decision-making processes.

TIBCO Streaming is an advanced analytics platform focused on real-time processing and analysis of fast-moving data streams, which empowers organizations to make swift, data-informed choices. With its low-code development environment found in StreamBase Studio, users can create intricate event processing applications with ease and minimal coding requirements. The platform boasts compatibility with over 150 connectors, such as APIs, Apache Kafka, MQTT, RabbitMQ, and databases like MySQL and JDBC, ensuring smooth integration with diverse data sources. Incorporating dynamic learning operators, TIBCO Streaming allows for the use of adaptive machine learning models that deliver contextual insights and enhance automation in decision-making. Additionally, it provides robust real-time business intelligence features that enable users to visualize current data alongside historical datasets for a thorough analysis. The platform is also designed for cloud readiness, offering deployment options across AWS, Azure, GCP, and on-premises setups, thereby ensuring flexibility for various organizational needs. Overall, TIBCO Streaming stands out as a powerful solution for businesses aiming to harness real-time data for strategic advantages.

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.

Eclipse Kura™ is a flexible and open-source framework designed for IoT Edge applications, built on Java/OSGi. It provides developers with API access to various hardware interfaces found in IoT gateways, such as serial ports, GPS, watchdog timers, GPIOs, and I2C. Among its features, Kura includes pre-configured field protocols like Modbus, OPC-UA, and S7, an application container, and a web-based visual programming tool that facilitates data acquisition from the field, edge processing, and efficient publishing to prominent IoT cloud platforms via MQTT. The rise of an IoT service gateway model utilizing contemporary software architectures at the edge of IoT implementations acts as a unifying controller and aggregator, enabling the integration of advanced enterprise technologies into IoT gateways. By utilizing sophisticated software frameworks that simplify the complexities of hardware and networking, the development and reusability of combined hardware and software solutions are significantly transformed, fostering innovation and efficiency in IoT projects. This shift empowers developers to focus more on application logic rather than underlying technical challenges.

TagoIO is a comprehensive cloud software platform that empowers users to convert IoT sensor information into intelligent solutions while avoiding the intricacies of cloud management. It enables the connection and oversight of devices across over 500 communication protocols, such as LoRaWAN, NB-IoT, Wi-Fi, satellite, BLE, MQTT, and HTTP, by utilizing pre-configured connectors that standardize device data. The platform delivers scalable device management, secure data storage, real-time visualization, tailored analytics, automation features, alerts, and multi-tenant access control, allowing users to create dashboards, workflows, and logic all within a unified environment. TagoIO streamlines the process of developing and launching IoT applications through the use of templates, intuitive drag-and-drop interfaces, and robust APIs, while efficiently managing backend infrastructure to facilitate swift development and deployment. Additionally, it provides sophisticated analytics to convert raw data into meaningful insights and accommodates edge computing, mobile accessibility, white-labeling options, and the ability to integrate with external systems, further enhancing its versatility. Overall, TagoIO stands out as a powerful tool for businesses seeking to harness the potential of IoT technology effectively.

An MQTT Broker designed with enthusiasm to meet all your requirements for deploying and scaling IoT applications. It features a REST API, a comprehensive dashboard with customizable widgets, and an extensive data storage solution, among other capabilities. Users can quickly visualize a snapshot of their IoT devices, monitoring client connections and disconnections, as well as critical data through various dashboard widgets. The system also provides alerts and color-coded indicators based on different value triggers. A robust rules engine is included to convert MQTT messages, facilitating streamlined M2M communication automation. This engine supports event and timer-based rules, enabling users to define data patterns and automate corresponding actions. For secure device communication, a publish and subscribe messaging model is implemented with dual layers of security, employing SSL/TLS for connectivity and optional username/password authentication. Additionally, web security measures are in place for data viewing. To ensure high availability, the broker can operate multiple message brokers simultaneously, guaranteeing efficient message collection and publication from devices. This architecture assures a remarkable 99.99% success rate in data collection, ensuring reliability regardless of software challenges. Moreover, the system's flexibility allows for seamless integration with various IoT applications and services.

The IoT Platform provides all the essential tools to design and launch a comprehensive IoT application, allowing you to concentrate on your primary business objectives. With the IoT Platform, you can easily integrate it into your brand instead of starting from scratch, enabling you to connect with more customers promptly. Its flexible architecture, bolstered by IoT technologies, is perfect for service providers seeking to unify their customer base while securely managing the connection of IoT devices and applications to a single hosted server. Essentially, any device that communicates via MQTT over a TCP/IP layer qualifies as an MQTT client, since the MQTT protocol relies on TCP/IP for operation. Both the broker and client need to operate on a TCP/IP layer, which can also be utilized for MQTT over SSL. The Bevywise platform supports MQTT/TCP, facilitating the development of IoT applications efficiently. Additionally, the platform enables multi-tenant device management, allowing for the oversight of multiple customers' device data within a single framework, thereby empowering each client to effectively monitor and control their IoT devices. This approach not only enhances user experience but also streamlines management processes across different customers.

CloudMQTT serves as an excellent platform for facilitating "Internet of Things" communication among low-energy sensors or mobile devices, including smartphones, embedded systems, and microcontrollers like the Arduino. It streamlines every aspect of setting up and operating a hosted Mosquitto message broker, allowing your team to concentrate on product development without the hassle of server management. By entrusting these responsibilities to specialists, you can ensure optimal performance and reliability. With the CloudMQTT WebSocket client, you can effortlessly observe messages transmitted from your device to the browser, or vice versa, making it a valuable tool for testing and troubleshooting, as you can visualize real-time data from sensors or devices. Additionally, by inviting team members, you can maintain distinct CloudMQTT accounts while managing a shared pool of instances, giving you control over notification routing and billing responsibilities. This flexibility enhances collaboration while keeping everyone aligned with the project’s objectives.

Pro Edition for Eclipse Mosquitto is a pro version of the world's #1 MQTT broker that quickly, stably, and reliably transmits data between IoT devices. Compared to the popular open-source version, Pro Mosquitto offers professional MQTT broker and client administration and monitoring, MQTT High Availability, MQTT and REST API access, improved reliability, enhanced security, and professional support, making it an ideal solution for commercial use. Benefits: Performance: Benefit from the low usage of computing resources and easily maintain up to 1 million concurrent connections. Pro Mosquitto is written in C, which makes it even more lightweight and efficient than competitors. In addition, it can run on very low-spec embedded devices, e.g., single-core 600MHz ARM and 128MB RAM. Reliable and trusted by the global dev community: The product is a pro version of the most popular open-source MQTT broker with more than 500 million docker pulls worldwide, powered by up to 99.99% SLA to ensure business continuity. Professional services and support: Our team can help you solve any issue, ensuring your project's successful implementation and maintenance. In addition, one can also request us to provide them with professional services

Eclipse Mosquitto is a message broker that is open source and licensed under EPL/EDL, designed to support various versions of the MQTT protocol, including 5.0, 3.1.1, and 3.1. This broker is notably lightweight, making it ideal for deployment on a wide range of devices, from low-power single-board computers to robust server systems. The MQTT protocol itself offers an efficient way to handle messaging through a publish/subscribe architecture, which is particularly well-suited for applications in the Internet of Things, enabling communication with low-power sensors or mobile devices like smartphones, embedded systems, and microcontrollers. In addition to the broker, the Mosquitto project also includes a C library that facilitates the creation of MQTT clients, alongside the widely used command line clients, mosquitto_pub and mosquitto_sub, which enhance user interaction with the MQTT protocol. Overall, Mosquitto serves as a versatile tool for developers aiming to implement messaging solutions in a variety of applications.

Soracom is a worldwide leader in smart IoT connectivity, providing a cloud-native wireless service tailored for the specific requirements of connected devices. Established in 2015 with the mission to foster a more interconnected world by eliminating obstacles to IoT development, Soracom has grown to support over 20,000 clients across diverse sectors including agriculture, energy, construction, transportation, consumer electronics, manufacturing, real estate, and healthcare. Whether catering to large global corporations or rapidly expanding startups, Soracom is relied upon for its cost-effective and dependable connectivity solutions that enhance speed to market and simplify cloud integration. Additionally, Soracom holds the distinction of being an AWS IoT Competency Partner, enabling it to securely convert MQTT data to MQTTS, and transform UDP, TCP, and HTTP data into HTTPS, thereby optimizing cost efficiency. Users can also gain insights into their IoT data consumption by designing attractive, serverless dashboards, and they can execute maintenance operations remotely on their devices without the need for complex relay server setups. This comprehensive approach not only streamlines operations but also empowers businesses to focus on innovation and growth.

KX Streaming Analytics offers a comprehensive solution for ingesting, storing, processing, and analyzing both historical and time series data, ensuring that analytics, insights, and visualizations are readily accessible. To facilitate rapid productivity for your applications and users, the platform encompasses the complete range of data services, which includes query processing, tiering, migration, archiving, data protection, and scalability. Our sophisticated analytics and visualization tools, which are extensively utilized in sectors such as finance and industry, empower you to define and execute queries, calculations, aggregations, as well as machine learning and artificial intelligence on any type of streaming and historical data. This platform can be deployed across various hardware environments, with the capability to source data from real-time business events and high-volume inputs such as sensors, clickstreams, radio-frequency identification, GPS systems, social media platforms, and mobile devices. Moreover, the versatility of KX Streaming Analytics ensures that organizations can adapt to evolving data needs and leverage real-time insights for informed decision-making.

IoT Edge Connect offers a protocol for real-time communication and data processing specifically designed for devices connected to Akamai. Utilizing both the message queuing telemetry transport (MQTT) and HTTP protocols, it efficiently ingests messages while ensuring that data is processed and sent back to devices instantly through a publish-subscribe model. This MQTT-centric system enables seamless reading from and writing to message queues, automatically delivering messages organized by topics. Additionally, the HTTP interface allows for an alternative method of accessing the same message queues that the MQTT protocol utilizes, enabling clients to request messages in topic form via a REST API. Overall, IoT Edge Connect enhances connectivity and data flow between devices and the cloud, providing flexibility in how messages are handled and delivered.

The significance of streaming data derived from operations, transactions, sensors, and IoT devices becomes apparent when it is thoroughly comprehended. SAS's event stream processing offers a comprehensive solution that encompasses streaming data quality, analytics, and an extensive selection of SAS and open source machine learning techniques alongside high-frequency analytics. This integrated approach facilitates the connection, interpretation, cleansing, and comprehension of streaming data seamlessly. Regardless of the velocity at which your data flows, the volume of data you manage, or the diversity of data sources you utilize, you can oversee everything effortlessly through a single, user-friendly interface. Moreover, by defining patterns and addressing various scenarios across your entire organization, you can remain adaptable and proactively resolve challenges as they emerge while enhancing your overall operational efficiency.

The FreeWave Platform is an advanced cloud-native IIoT solution that effectively links sensor-equipped devices and rugged radios, providing instantaneous data insights and analytics from virtually anywhere. It features powerful edge computing capabilities through FreeWave Edge, which facilitates on-device data polling—including Modbus and IO—along with storage, alarm setups, and MQTT or email notifications sent to enterprise systems, thus addressing issues related to data loss, connectivity interruptions, and limited bandwidth. With its integration of Fusion radios and satellite/cellular connectivity within a zero-trust cybersecurity framework, this platform guarantees secure and reliable communications, even in challenging and remote environments. Users benefit from interactive dashboards, timely alerts, and customizable visualizations, while having the ability to create bespoke applications on the platform using APIs and edge logic, all without interfering with their current network infrastructures. This high level of flexibility and adaptability empowers organizations to make informed decisions based on real-time data.

Enlighted and its partners develop applications that significantly enhance operational efficiencies and improve the experiences of occupants, while also boosting productivity and maximizing the utilization of resources and assets. The system employs sensors capable of detecting motion, temperature, and ambient light levels. Additionally, asset tags and badges utilize Bluetooth technology to communicate with these sensors, enabling the precise tracking of both assets and individuals. Users can manually adjust lighting or rely on automated systems for room controls. This technology includes the industry's most advanced software-defined sensors, which capture and integrate various data streams. Moreover, a gateway transmits the information collected by the sensors to the energy manager for comprehensive analysis and reporting. With just a push of a button, occupants have the flexibility to modify preset lighting levels and configurations, ensuring that their comfort and preferences are prioritized. This functionality empowers users to create personalized environments that cater to their specific needs.

Friendly's One IoT Device Management allows for the remote oversight of various IoT devices, including those with intricate data models and limited capability, utilizing standard protocols like LwM2M, OMA-DM, MQTT, CoAP, TR-369 USP TR-069, among others. This solution facilitates automated initialization and remote administration of IoT devices, featuring an Admin Portal, a Technician Portal, a Quality of Experience (QoE) Dashboard, Business Intelligence (BI), and Big Data Analytics, along with a comprehensive API for tailoring vertical applications. Additionally, Friendly offers an App generator module that simplifies the creation and updating of custom applications without the need for programming skills. Moreover, Friendly's One-IoT™ Device Management can be deployed through private cloud, public cloud, or directly on the customer's site, providing flexibility to suit various operational needs. This adaptability ensures that users can effectively manage their IoT ecosystem in a way that aligns best with their infrastructure requirements.

Nimbus808 is an IoT platform designed for industrial applications that features a managed MQTT 5 broker, allowing teams to develop real-time web applications, connect various devices, and visualize and manage sensor data without the need to set up their own infrastructure. The platform enables rapid broker deployment and secure device connectivity, leveraging advanced MQTT 5 functionalities such as shared subscriptions, user properties, and flow control. Additionally, Nimbus808 incorporates robust security measures, including token-based authentication, IP whitelisting, role-based access control, device credential verification, and multifactor authentication, ensuring the safety of projects and sensitive data. The central dashboard of Nimbus808 provides a consolidated view of live data from connected devices and sensors, which can be displayed in customizable widgets and templates for immediate visualization. Furthermore, system administrators benefit from the ability to oversee user activity, project progress, device statuses, tag management, and alarm conditions all from a single interface, which also offers real-time publish and subscribe functionalities. This comprehensive approach makes Nimbus808 an efficient choice for teams looking to harness the power of IoT while maintaining high security and operational oversight.

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.

HULFT IoT serves as a robust managed file transfer middleware tailored for IoT devices, effectively safeguarding against data loss in essential scenarios like payment processing, security, and monitoring. While utilizing protocols like MQTT or HTTPS for IoT data gathering demands a learning curve for users, HULFT IoT simplifies the process by requiring only the installation of its software, thus enabling swift data collection. Additionally, with the integration of DataSpider Servista, our enterprise application integration (EAI) tool, users can seamlessly connect multiple applications to the data gathered by HULFT IoT without any coding, as the setup process is entirely based on drag-and-drop functionality. A machine tool manufacturer previously conducted on-site inspections and maintenance for their customers, during which each device generated operational log data. By analyzing this data, they were able to forecast maintenance needs effectively. To enhance their operational efficiency, the company sought to implement remote monitoring of devices and schedule maintenance personnel as needed. However, the challenge arose with each device producing approximately 10GB of log data daily, complicating their data management efforts further. To address this, they recognized the necessity of a streamlined solution that could handle such vast amounts of data efficiently.

IBM Streams analyzes a diverse array of streaming data, including unstructured text, video, audio, geospatial data, and sensor inputs, enabling organizations to identify opportunities and mitigate risks while making swift decisions. By leveraging IBM® Streams, users can transform rapidly changing data into meaningful insights. This platform evaluates various forms of streaming data, empowering organizations to recognize trends and threats as they arise. When integrated with other capabilities of IBM Cloud Pak® for Data, which is founded on a flexible and open architecture, it enhances the collaborative efforts of data scientists in developing models to apply to stream flows. Furthermore, it facilitates the real-time analysis of vast datasets, ensuring that deriving actionable value from your data has never been more straightforward. With these tools, organizations can harness the full potential of their data streams for improved outcomes.

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.

In the field of IoT stream processing and analytics, SQLstream ranks #1 according to ABI Research. Used by Verizon, Walmart, Cisco, and Amazon, our technology powers applications on premises, in the cloud, and at the edge. SQLstream enables time-critical alerts, live dashboards, and real-time action with sub-millisecond latency. Smart cities can reroute ambulances and fire trucks or optimize traffic light timing based on real-time conditions. Security systems can detect hackers and fraudsters, shutting them down right away. AI / ML models, trained with streaming sensor data, can predict equipment failures. Thanks to SQLstream's lightning performance -- up to 13 million rows / second / CPU core -- companies have drastically reduced their footprint and cost. Our efficient, in-memory processing allows operations at the edge that would otherwise be impossible. Acquire, prepare, analyze, and act on data in any format from any source. Create pipelines in minutes not months with StreamLab, our interactive, low-code, GUI dev environment. Edit scripts instantly and view instantaneous results without compiling. Deploy with native Kubernetes support. Easy installation includes Docker, AWS, Azure, Linux, VMWare, and more

MQTTnet is an efficient library designed for .NET that facilitates MQTT communication. This library includes both an MQTT client and a broker, supporting the MQTT protocol all the way up to version 5. It is versatile and works well with nearly any version of the .NET Framework and various CPU architectures. Users can implement custom message interceptors, enabling them to modify or enhance any application message that is received. The library is lightweight since it focuses solely on the fundamental implementation of MQTT without unnecessary overhead. Additionally, it allows for multiple connected clients to operate using different protocol versions simultaneously, enhancing its flexibility and usability.

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 Internet of Things (IoT) encompasses billions of physical devices globally that are interconnected and actively gathering and sharing data. By leveraging IoT data alongside IBM Cloud® technologies, organizations can derive meaningful insights that enhance nearly every facet of their operations while also paving the way for innovative business models. Begin by linking your device to an IBM Cloud recipe, utilizing open and lightweight protocols like MQTT or HTTP for connectivity. Efficient management of connected devices allows applications to access both real-time and historical data. Secure APIs facilitate the integration of your applications with the data generated by these devices, enabling seamless interaction. You can develop analytical applications either within the IBM Cloud, on another cloud platform, or on your own servers. The IBM Watson IoT® Platform provides a straightforward method to connect, gather, and process IoT data quickly. Additionally, you can leverage the analytics service for effective visualization and AI-enhanced analytics in the cloud, leading to informed decision-making and operational efficiency. This integration ultimately transforms the way businesses operate and create value in the digital landscape.

BlackLynx's accelerators offer analytics capabilities exactly where they are required, eliminating the need for specialized expertise. Regardless of the components of your analytics framework, you can harness data-driven insights through robust and user-friendly heterogeneous computing solutions. The integration of BlackStack software with electronic systems significantly enhances processing speeds for sensors utilized across various platforms, including terrestrial, maritime, aerospace, and aerial assets. Our innovative software empowers clients to optimize essential AI/ML algorithms and other computational tasks, specifically targeting real-time sensor data processing, which encompasses signal detection, video analytics, missile tracking, radar operations, thermal imaging, and other object detection functionalities. Additionally, BlackStack software substantially improves the speed of processing for real-time data analytics. We enable our clients to delve into enterprise-level unstructured data, providing the tools necessary to gather, filter, and systematically arrange extensive intelligence or cybersecurity forensic data sets, ultimately transforming how they manage and respond to vast streams of information. This capability allows organizations to make informed decisions that drive efficiency and innovation.

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.

Ideal Cloud IoT is an initiative launched by Ideal Control Spa, designed to address the growing need among industrial automation integrators for a seamless connection to an industrial IoT monitoring platform, eliminating the complexity of server-side programming. This platform empowers integrators to create their own industrial monitoring and alarm web software, facilitating real-time connections to their projects and vital parameters through standard MQTT communication protocols. Additionally, it provides capabilities for visualizing trends and analyzing historical variable data, as all records are securely stored in sturdy databases. Ideal Cloud IoT not only enables the connection of equipment to the cloud using the MQTT protocol but also allows for the storage of crucial variable records, real-time variable monitoring, and automated email alerts based on alarms. Furthermore, users can efficiently manage their clients by adding, deleting, modifying, or updating information, all while enjoying easy and rapid integration with a diverse array of equipment. The combination of these features makes Ideal Cloud IoT a comprehensive solution for modern industrial needs.

Waterstream transforms your Kafka-compatible system into a robust MQTT broker, enabling seamless connections for millions of clients without the need for coding, integration pipelines, or extra storage requirements. It establishes a bidirectional interface that bridges Kafka with MQTT clients, eliminating the hassles of overseeing external MQTT clusters and reducing data redundancy. With Waterstream, scalability is straightforward, as its nodes operate independently for most tasks, allowing you to easily add more instances to accommodate a growing client base. The solution relies solely on Kafka, reaping the advantages of its built-in persistence features, which ensure high availability, impressive throughput, and minimal latency for optimal performance. Additionally, this means that you can focus on your applications while Waterstream efficiently manages the complexities of data streaming.

Apache Flink serves as a powerful framework and distributed processing engine tailored for executing stateful computations on both unbounded and bounded data streams. It has been engineered to operate seamlessly across various cluster environments, delivering computations with impressive in-memory speed and scalability. Data of all types is generated as a continuous stream of events, encompassing credit card transactions, sensor data, machine logs, and user actions on websites or mobile apps. The capabilities of Apache Flink shine particularly when handling both unbounded and bounded data sets. Its precise management of time and state allows Flink’s runtime to support a wide range of applications operating on unbounded streams. For bounded streams, Flink employs specialized algorithms and data structures optimized for fixed-size data sets, ensuring remarkable performance. Furthermore, Flink is adept at integrating with all previously mentioned resource managers, enhancing its versatility in various computing environments. This makes Flink a valuable tool for developers seeking efficient and reliable stream processing solutions.

Cumulocity offers an enterprise-grade AIoT platform that connects & manages assets efficiently, transforms raw device data into AI-ready data, and orchestrates innovation from cloud to edge, combined with a team of experts and a large ecosystem of device, technology, and implementation partners to achieve lasting customer success. Cumulocity is the preferred choice for industrial equipment makers to develop high-value digital services and is trusted by leading companies worldwide as their partner, knowing they have access to the software and services needed to power their smart connected products in manufacturing, fleet management, consumer electronics, and more. Transform your equipment data into AI-powered insights & actions that drive business value. Securely connect your machines and analyze their data to power usage insights, detect anomalies, implement predictive maintenance, drive performance optimization and enhance the customer experience. Connect to innovate: The journey from connected to smart products requires both expertise and the right foundation. The Cumulocity AIoT platform bridges connectivity and data-driven innovation while reducing technical complexity for your teams. Our network of experts and partners empower you to create differentiated digital solutions, whether connecting your first device or scaling across millions.

nRF Cloud is a comprehensive IoT platform hosted in the cloud, providing lifecycle management services that facilitate the connection, monitoring, control, and optimization of wireless IoT devices, particularly those utilizing ultra-low power radios and cellular modules from Nordic Semiconductor, from initial onboarding to final retirement. This platform includes user-friendly device management capabilities that streamline the onboarding process, configuration, connectivity monitoring, and remote firmware updates over the air to ensure devices remain secure and current. Furthermore, it features data visualization tools along with customizable dashboards that transform raw sensor data into valuable insights for analyzing performance and trends. Additionally, nRF Cloud offers advanced location services, such as Assisted-GPS and multi-cell positioning, for efficient tracking of assets in the field, while also ensuring compatibility with various IoT architectures through protocol-agnostic connectivity options like MQTT, CoAP, and REST APIs. As a result, it is an ideal solution for businesses looking to maximize the potential of their IoT deployments across diverse applications.

The Hitachi Streaming Data Platform (SDP) is engineered for real-time processing of extensive time-series data as it is produced. Utilizing in-memory and incremental computation techniques, SDP allows for rapid analysis that circumvents the typical delays experienced with conventional stored data processing methods. Users have the capability to outline summary analysis scenarios through Continuous Query Language (CQL), which resembles SQL, thus enabling adaptable and programmable data examination without requiring bespoke applications. The platform's architecture includes various components such as development servers, data-transfer servers, data-analysis servers, and dashboard servers, which together create a scalable and efficient data processing ecosystem. Additionally, SDP’s modular framework accommodates multiple data input and output formats, including text files and HTTP packets, and seamlessly integrates with visualization tools like RTView for real-time performance monitoring. This comprehensive design ensures that users can effectively manage and analyze data streams as they occur.

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.

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.