Alternatives to myDevices

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

Akenza is an IoT platform that allows you to create smart solutions and add value. It connects, controls and manages all IoT devices from one place. The akenza IoT platform allows rapid market introduction of new digital technologies by allowing for simple and secure management. You can create your IoT case immediately with our self-service solution. We offer the best connectivity and device management solutions for low-power connectivity technologies such as LoRaWAN, Sigfox or NB-IoT. M1.

The Cisco Wireless Gateway and the Cisco Interface Module for LoRaWAN, which are compatible with the Cisco Catalyst 1100 Rugged Series Routers, facilitate Internet of Things (IoT) applications that require low data rates and power-efficient devices capable of long-range communication. Utilizing long-range (LoRa) technology, these products adhere to the LoRaWAN standards established by the LoRa Alliance. The gateway features advanced digital signal processing (DSP) capabilities and precise GPS functionality optimized for geolocation purposes. Additionally, users can opt for cellular backhaul through the Cisco Catalyst IR1100 Rugged Series Router to enhance connectivity options. With the gateway, you can achieve improved spectrum efficiency by supporting up to 16 uplink channels, while the module allows for up to 8 channels, thus maximizing network performance and flexibility. This innovative approach positions Cisco as a leader in the burgeoning field of low-power wide-area networks (LPWAN).

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.

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.

Embiot®, a compact, high-performance IoT analytics software agent that can be used for smart sensor and IoT gateway applications, is available. This edge computing application can be integrated directly into devices, smart sensor and gateways but is powerful enough to calculate complex analytics using large amounts of raw data at high speeds. Embiot internally uses a stream processing model in order to process sensor data that arrives at different times and in different order. It is easy to use with its intuitive configuration language, rich in math, stats, and AI functions. This makes it quick and easy to solve any analytics problems. Embiot supports many input methods, including MODBUS and MQTT, REST/XML and REST/JSON. Name/Value, CSV, and REST/XML are all supported. Embiot can send output reports to multiple destinations simultaneously in REST, custom text and MQTT formats. Embiot supports TLS on select input streams, HTTP, and MQTT authentication for security.

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.

Thingstream serves as a cloud-oriented platform designed for the delivery and management of enterprise IoT services. This comprehensive platform includes features such as IoT connectivity, robust security protocols, an enterprise-grade MQTT broker, visual programming tools, straightforward integration with businesses, and compatibility with u-blox global positioning technology. It offers bearer-agnostic solutions that facilitate connectivity and management for various IoT devices, including those that operate via cellular networks, LoRaWAN, and IP. By ensuring secure communication of sensitive data, it protects IoT information for enterprises. Additionally, it enhances accuracy and reliability in location tracking, particularly improving GNSS positioning capabilities in indoor environments. The platform allows for effortless connection and management of IoT devices, APIs, and online services. With its Data Flow Manager feature, users can make decisions and manage data at the network's edge using an intuitive drag-and-drop programming interface. Furthermore, the platform supports simple integration with a variety of cloud-based services, offering ready-made connectors for platforms like Amazon Web Services, Microsoft Azure, and TIBCO eFTL, thus streamlining the process for enterprises looking to deploy IoT solutions. Overall, Thingstream provides a robust ecosystem tailored for the evolving needs of connected enterprises.

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.

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.

ThingPark Wireless stands out as the premier and most comprehensive multi-technology LPWA IoT Network platform available today. Currently supporting more than half of the global LoRaWAN network implementations, it serves as the backbone of your IoT infrastructure, facilitating secure communication and data management from sensors all the way to cloud-based applications. Its modular design allows for seamless scalability, empowering Service Providers to effectively monetize their connectivity solutions while promoting the swift integration of IoT technologies across various sectors. With a horizontally scalable core network architecture, it can handle an impressive throughput of 150,000 packets per second, which translates to the capacity for up to 1.2 billion devices and 10 million gateways per cluster. Additionally, it provides a comprehensive suite of back-office tools designed for the efficient onboarding and management of devices, gateways, and applications. With robust multi-layer security measures in place, it ensures the safe transmission of sensor data to application servers. Furthermore, its superior MAC efficiency is engineered to enhance network capacity while extending battery life, making it an optimal choice for IoT deployments. Overall, ThingPark Wireless not only meets the demands of today's IoT landscape but also paves the way for future advancements in connectivity and technology integration.

Our device management system simplifies and secures the provisioning and monitoring of Digital Matter devices. By activating advanced debugging logs, users can swiftly and effectively address any issues that arise. Device settings can be managed effortlessly over-the-air, enhancing operational efficiency. The platform allows for the creation and management of templates, making it easy to configure multiple devices in bulk during provisioning. Data can be transmitted to your server using either HTTPS or TCP, ensuring secure communication. The integrated debugging tools facilitate seamless integration processes. All data is transmitted over an AES-256 encrypted connection, guaranteeing both its integrity and authenticity. Following this, data can be forwarded via HTTPS to the target platform, providing complete end-to-end encryption. Multiple functionalities, including parameter adjustments and connector settings, can be executed through API calls, allowing third-party servers to handle device control and provisioning seamlessly. This comprehensive approach ensures that users have a robust and versatile solution at their fingertips.

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.

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.

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.

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.

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.

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.

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.

The quickest method to incorporate smart home devices into your software application is by utilizing Yonomi's IoT integration platform. This platform seamlessly links smart home devices to various software applications used in property management, energy management, wellness, and insurance, including devices such as locks, lights, and thermostats. An effective IoT device management solution enhances your organization's capability to connect, control, and automate these devices with ease. Yonomi equips developers with essential tools to effortlessly integrate with numerous connected home products through a unified framework. This platform is compatible with an expanding array of global device brands across diverse categories. You can easily connect to devices like Schlage Encode along with various other smart locks, thermostats, lights, switches, leak sensors, and more, which allows developers to save valuable time and concentrate on enhancing core features. Additionally, Yonomi's API introduces an abstraction layer that simplifies the complexities of the fragmented and continuously evolving connected home ecosystem by employing standardized device types and traits, enabling smoother integration for developers. By leveraging this platform, you ensure that your smart home integration process is both efficient and scalable.

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.

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.

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.

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.

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 Edge Platform by Veea represents a holistic ecosystem that merges computing, connectivity, and security for the enhancement of IoT applications. Central to this platform are the VeeaHubs, which are adaptable devices featuring powerful quad-core CPUs that deliver exceptional edge computing performance. This platform accommodates various applications, enabling virtualized environments designed to meet a wide range of operational demands. With VeeaHubs, comprehensive device connectivity is guaranteed, and options for LoRaWAN and 4G/5G support broaden the scope of network connectivity. The incorporation of vMesh technology promotes scalable and effective network growth, allowing businesses to expand as needed. Prioritizing security, the platform conforms to the strictest industry standards while providing customizable solutions to address unique specifications. Additionally, VeeaCloud streamlines the deployment process by offering user-friendly tools for configuration, management, and analytics, thereby ensuring uninterrupted application efficiency. Taken together, these features make Veea's Edge Platform a robust solution for modern IoT challenges.

Data processing that integrates both streaming and batch operations while being serverless, efficient, and budget-friendly. It offers a fully managed service for data processing, ensuring seamless automation in the provisioning and administration of resources. With horizontal autoscaling capabilities, worker resources can be adjusted dynamically to enhance overall resource efficiency. The innovation is driven by the open-source community, particularly through the Apache Beam SDK. This platform guarantees reliable and consistent processing with exactly-once semantics. Dataflow accelerates the development of streaming data pipelines, significantly reducing data latency in the process. By adopting a serverless model, teams can devote their efforts to programming rather than the complexities of managing server clusters, effectively eliminating the operational burdens typically associated with data engineering tasks. Additionally, Dataflow’s automated resource management not only minimizes latency but also optimizes utilization, ensuring that teams can operate with maximum efficiency. Furthermore, this approach promotes a collaborative environment where developers can focus on building robust applications without the distraction of underlying infrastructure concerns.

The effectiveness of network coverage and signal strength plays a crucial role in the scalability of IoT implementations. In certain areas, it may be necessary to enhance coverage to meet the specific needs of various applications. The Access Station Micro serves as an adaptable and economical gateway, providing the capability to extend coverage in challenging locations, such as deep indoor environments or remote regions, suitable for any IoT application. Sigfox is pioneering the first global 0G network designed to capture data from billions of devices without requiring the establishment and maintenance of traditional network connections. This innovative method in wireless communication eliminates signaling overhead, utilizes a compact and optimized protocol, and allows devices to transmit data without being directly connected to the network. Moreover, Sigfox can seamlessly integrate with technologies like NFC, Bluetooth, GPS, 2G/3G/4G/5G, WiFi, as well as LoRa, NB-IoT, and LTE-M. By leveraging multiple connectivity options alongside Sigfox within a single IoT device, organizations can significantly enhance both user experiences and the viability of various business cases. This multifaceted approach to connectivity opens new avenues for developing robust IoT solutions that can adapt to a wide range of operational environments.

Consolidate all information from various sources and protocols into one comprehensive data set utilizing the Cogent DataHub application. Clients can retrieve any chosen segment of this integrated data using a wide array of supported protocols, including but not limited to OPC UA, OPC Classic, Modbus, MQTT, DDE, TCP, ODBC, HTTP, and XML. With this versatile data, you can explore numerous applications, such as networking OPC servers and clients, facilitating monitoring and supervisory control, archiving your data to real-time historians or SQL databases, setting up alarms and notifications triggered by data alterations, and performing real-time analyses directly in Excel. Additionally, this unified approach allows for enhanced collaboration and decision-making by providing seamless access to critical information across different platforms and devices.

Software media server that is cheap, lightweight and fast. Nimble Streamer offers a wide feature set for live streaming via various protocols.

Lightweight, fast, portable, and powered by Rust, our solution is designed to be compatible with OpenAI. We collaborate with cloud providers, particularly those specializing in edge cloud and CDN compute, to facilitate microservices tailored for web applications. Our solutions cater to a wide array of use cases, ranging from AI inference and database interactions to CRM systems, ecommerce, workflow management, and server-side rendering. Additionally, we integrate with streaming frameworks and databases to enable embedded serverless functions aimed at data filtering and analytics. These serverless functions can serve as database user-defined functions (UDFs) or be integrated into data ingestion processes and query result streams. With a focus on maximizing GPU utilization, our platform allows you to write once and deploy anywhere. In just five minutes, you can start utilizing the Llama 2 series of models directly on your device. One of the prominent methodologies for constructing AI agents with access to external knowledge bases is retrieval-augmented generation (RAG). Furthermore, you can easily create an HTTP microservice dedicated to image classification that operates YOLO and Mediapipe models at optimal GPU performance, showcasing our commitment to delivering efficient and powerful computing solutions. This capability opens the door for innovative applications in fields such as security, healthcare, and automatic content moderation.

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.

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.

Harness the power of your worldwide device network through a sophisticated IoT platform that offers scalable and fully managed integration, enabling you to connect, store, and analyze data both at the edge and in the cloud. Discover how effectively your devices can operate with a platform that accommodates a variety of operating systems, seamlessly integrates with Debian Linux, and provides out-of-the-box compatibility with top brands such as Intel and Microchip. With a comprehensive suite of IoT building blocks from Google Cloud, you can transform your device data into actionable insights from ingestion to intelligence. The IoT platform from Google Cloud can automatically forecast maintenance needs for your equipment and enhance performance in real-time, while also predicting potential downtimes, identifying anomalies, and monitoring the status, state, and location of your devices. Additionally, leverage Google Cloud IoT’s logistics solution to execute crucial operations like fleet management, inventory tracking, and cargo integrity monitoring, ensuring your business remains efficient and competitive. By adopting this platform, organizations can significantly enhance their operational capabilities and drive better decision-making processes.

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.

IoT Glue, a mobile-enabled IoT integration platform, allows enterprises to monetize IoT investment by seamlessly gluing disparate items together. It is an API-driven, robust technology framework that offers scalable, vertically-specific solutions for Smart City solutions, Fleet Management, Smart Farming, and Smart Building Management. IoT Glue is a tool that helps you build your IoT ecosystem quicker. It allows you to offer additional IoT services to your customers quickly and securely, which will accelerate your enterprise digital transformation efforts. Components: Commune – an administration module for device, user and service management Real Time Builder - configures rules and actions for real time streaming data Coupler – unifies multiple protocols to drive interoperability XBuilder - interactive end-user app configuration tool.

Gathering data across various devices, networks, and servers can be quite intricate and may incur significant costs. ConnexinOS offers a robust and scalable IoT platform that streamlines the process of data aggregation and integration. Essentially, it consolidates diverse datasets into one unified view, simplifying the oversight of urban areas and communities. It enables the collection of information from any device or network, ensuring that different datasets can communicate effectively. By integrating varied sources into a singular platform, it provides actionable insights based on standard operating procedures, leveraging advanced AI and machine learning technologies. Onboarding and managing devices is a straightforward process, granting users comprehensive control and the option for self-service. Additionally, it facilitates real-time monitoring and alerts based on events and established procedures. The platform also normalizes data from disparate sources so they can operate in harmony. With fully-featured user role-based access controls, security remains a top priority, ensuring sensitive information is protected. Ultimately, this creates an environment where cities can thrive through improved data management.

Effective business choices are informed by the analysis of real-time data from devices and sensors, which enables prompt actions. The IoT era introduces a vast number of interconnected devices, presenting significant opportunities to automatically generate valuable insights and create new revenue streams. By leveraging Pega’s top-tier case management and BPM solutions, organizations can seamlessly transform IoT-driven insights into strategically coordinated actions that span various business and system boundaries. Pega Machine Health plays a crucial role by continuously integrating people, processes, devices, and data to enhance the health and value of connected IoT devices. This functionality allows organizations to not only analyze situations but also recommend preventive measures and repairs, thereby enhancing the overall customer experience. To maintain a competitive edge in the swiftly changing IoT landscape, businesses can utilize the remarkable agility provided by Pega 7. Furthermore, Pega 7 empowers IoT teams to perpetually refine both the analytical processes and the coordination of actions driven by IoT data, ensuring sustained operational excellence. Such capabilities foster a proactive culture within organizations, enhancing their responsiveness to emerging challenges and opportunities.

SeeControl serves as a cloud-based IoT platform that empowers businesses to collect, visualize, and analyze real-time data from multiple IoT devices without the need for programming expertise. The platform provides a wide range of functionalities, including data gathering, device oversight, analytical tools, connectivity options, reporting features, and management of configurations. By linking devices through IoT gateways, it supports the creation of comprehensive IoT solutions that enable real-time asset monitoring and advanced analytics, including machine learning, to yield practical business insights. The technology framework of SeeControl covers all four essential layers of the IoT ecosystem: devices, connectivity, core IoT capabilities, and applications along with analytics. This cohesive strategy streamlines the implementation of IoT initiatives across diverse sectors and benefits a variety of clients, such as ABB, HP, and Fujitsu, highlighting its versatility and effectiveness in addressing industry-specific challenges. As organizations increasingly seek to leverage IoT technology, SeeControl stands out as a vital partner for driving innovation and efficiency.

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.

Tatsoft’s FrameworX is a complete, modern SCADA and IIoT platform that empowers engineers and developers to design, deploy, and scale high-performance industrial applications. Built on 100% managed .NET technology with no legacy constraints, FrameworX delivers real-time performance, data unification, and enterprise-grade reliability across all layers of operation—from the edge to the cloud. With real-time data modeling, historian, alarms and events, audit trails, reporting, advanced scripting (C#, VB.NET, JavaScript, Python), and 100+ native drivers for PLCs, DCSs, and protocols like OPC UA, MQTT, and SparkplugB, FrameworX connects every device, system, and data source into one seamless architecture. It includes an integrated MQTT broker/client, local UNS definition, and global UNS linking, making it the foundation for unified namespace architectures and modern IIoT ecosystems. Develop once and deploy anywhere — Windows, Linux, Docker, or the web — with zero client installs and true WebAssembly portability. Every module is included by design: Devices, Alarms, Historian, Reports, Security, Datasets, and DevOps tools. No hidden modules, no add-ons, no integration headaches. FrameworX is proven in 5,000+ global deployments, powering mission-critical operations across industries such as Oil & Gas, Steel, Transportation, and Life Sciences. Its architecture delivers 1M+ tags/second processing, 1,000+ concurrent clients, and startup times under 30 seconds. Combined with transparent licensing, unlimited scalability, and AI-ready integration tools, FrameworX provides a future-proof foundation for digital transformation.

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.

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.

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