Alternatives to Data Collection Core

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.

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.

Azure IoT Edge is a comprehensive service that operates on the Azure IoT Hub platform. It allows you to deploy cloud-based workloads, artificial intelligence applications, Azure services, third-party tools, or custom business logic on Internet of Things (IoT) edge devices using standard container technology. By relocating specific workloads closer to the network edge, these devices can minimize their communication time with the cloud, respond more swiftly to changes in their local environment, and maintain functionality even during prolonged periods without internet access. You can implement models that have been developed and refined in the cloud directly on-site. For instance, when a predictive model is used on a factory camera for quality assurance and detects an anomaly, IoT Edge can initiate an alert, process the relevant data locally, or forward it to the cloud for more in-depth evaluation. Furthermore, your edge devices can be managed securely and effectively, ensuring reliable operation even in scenarios of limited or no connectivity. The device management feature of Azure IoT Edge automatically updates and synchronizes the current state of each device. This seamless integration fosters enhanced operational efficiency, enabling businesses to harness the full potential of their IoT solutions.

Azure Sphere is a robust IoT platform designed for creating solutions that begin at the silicon level and seamlessly integrate with both the operating system and the cloud. It offers secure connections, management, and protection for both new and existing intelligent devices. Your device, data, and infrastructure are safeguarded across all dimensions—hardware, software, and the cloud. You can trust that your data environment is secured through a comprehensive end-to-end IoT security framework that enables the integration of current equipment and the development of new IoT devices. By utilizing Azure Sphere certified guardian modules, you can link your existing devices to the cloud or begin embedding Azure Sphere into new devices with the provided development kit. In response to evolving threats and requirements, the platform ensures real-time security patches, operating system updates, and enhancements to your applications. Each Azure Sphere instance is backed by over a decade of Microsoft security services, which include managed updates. When you are prepared, you can implement over-the-air (OTA) updates alongside your application directly to the IoT device, ensuring continuous security and performance enhancement. This versatility empowers businesses to stay ahead in a rapidly changing technological landscape.

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.

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.

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.

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.

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.

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.

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.

Azure IoT Central offers robust security, scales alongside your business growth, ensures that your investments yield consistent returns, and works harmoniously with your current business applications. By utilizing IoT Plug and Play, you can develop scalable solutions more efficiently. The open modeling language simplifies device interactions within IoT solutions, facilitating a smooth device-to-cloud integration experience while also minimizing development time, costs, and complexity. Device Builders have the capability to create devices that seamlessly connect with any Azure IoT cloud solution, while Solution Builders can expedite their projects without the need for embedded code. It's crucial to think about how your IoT solutions will evolve as your needs change and to prioritize the protection of your data both on devices and in the cloud. Azure IoT Central stands out as the sole app platform designed with the characteristics of highly secure and scalable IoT solutions. By taking advantage of our expanding range of IoT app templates tailored for prevalent industry scenarios, you can gain a competitive edge and revolutionize your business operations. Embrace the future of IoT and transform your strategies to better align with emerging technologies.

We offer cutting-edge solutions designed to elevate your business performance. Blackinetix has introduced BX, a versatile cloud IoT platform that caters to various monitoring and automation needs, including predictive maintenance and cloud-based robotics. It is essential to meticulously track all maintenance and troubleshooting activities from initiation to completion, particularly when multiple personnel are involved. With the aid of lean dashboards, you can effectively analyze data generated from IoT devices and autonomous robots. Additionally, you can handle extensive datasets by implementing predictive models to derive targeted results. Users can seamlessly explore their facility or robotics testing area and examine assets by simply capturing 360-degree images and uploading them to BX. Furthermore, engineers can swiftly identify malfunctioning machines using QR codes in conjunction with an augmented reality viewer. Our belief in a multidisciplinary approach is reflected in our core team's composition, which includes highly skilled professionals with diverse backgrounds and expertise. This collaborative spirit fosters an environment of innovation and enhances our ability to deliver exceptional solutions.

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.

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.

A managed service facilitates two-way communication between IoT devices and Azure, ensuring secure and dependable interaction between your IoT application and its managed devices. With Azure IoT Hub, you have access to a cloud-based backend that can connect almost any device seamlessly. Moreover, you can enhance your solution from the cloud to edge devices through features like per-device authentication, integrated device management, and scalable provisioning options. By utilizing telemetry data from devices to the cloud, you can gain insights into device status and establish message pathways to other Azure services effortlessly, without the need for coding. For cloud-to-device messages, you can reliably send commands and alerts to your connected devices while monitoring message delivery via acknowledgment receipts. The system also allows for automatic resending of messages to address any connectivity issues that may arise. Azure IoT Central goes beyond just proof of concept; it empowers you to create top-tier solutions using a comprehensive hosted IoT application platform, thus fostering innovation in your projects. This combination of features positions Azure as a leading choice for IoT communication solutions.

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.

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.

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.

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 hybrid edgeCloud platform allows various smart devices, ranging from smartphones to IoT gadgets, to function as cloud servers when necessary. The edgeEngine serves as a downloadable software that empowers these devices to operate as cloud servers under suitable conditions. This versatile engine is compatible with any smart device, regardless of its operating system or network, and integrates seamlessly with any cloud infrastructure. In contrast to traditional backend development, which often demands significant time and financial resources for server maintenance and scaling, mimik offers a serverless environment tailored for edge microservices, ensuring optimal performance and efficiency. By utilizing the edgeEngine, users can enhance any smart device with basic computing capabilities—such as smartphones, PCs, set-top boxes, residential and IoT gateways, game consoles, smart TVs, drones, robots, infotainment systems in cars, and industrial sensors—with server functionality. Furthermore, developers have the flexibility to either create and deploy custom edge microservices or take advantage of mimik’s pre-built, field-proven microservices to introduce innovative solutions or modernize existing applications. This capability not only streamlines the development process but also significantly reduces the barriers to implementing cutting-edge technology.

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.

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.

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 infrastructure is fully equipped with capabilities built as microservices, which are containerized using Docker and managed through Kubernetes. It offers support for multiple protocols and remains hardware agnostic, allowing seamless connections between any device and various third-party applications. Secure connections are ensured through TLS and DTLS, alongside mutual TLS authentication that utilizes X.509 certificates. The Mainflux software stack encompasses all essential components and microservices needed for developing IoT solutions, projects, or products. This IoT platform is designed to enhance interoperability with existing enterprise applications and other IoT platforms. Furthermore, it supports bidirectional communication with a vast number of devices and gateways, employing diverse open protocols and data formats. The system normalizes messages to simplify integration with the overall infrastructure, promoting efficiency and ease of use. Ultimately, this comprehensive approach fosters a robust environment for innovative IoT applications.

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.

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.

AWS IoT Greengrass effectively brings the capabilities of AWS to edge devices, enabling them to locally process the data they create while still leveraging the cloud for management, analysis, and reliable storage solutions. This platform allows connected devices to execute AWS Lambda functions, run Docker containers, or utilize both, enabling real-time predictions based on machine learning models, maintaining data synchronization, and ensuring secure communication among devices—even in the absence of an internet connection. With AWS IoT Greengrass, developers can utilize familiar programming languages and models to design and validate their device applications in the cloud before deploying them to the actual devices. Furthermore, this service can be configured to filter and manage device data, ensuring only essential information is sent back to AWS. Additionally, AWS IoT Greengrass offers seamless integration with third-party applications, local software solutions, and a range of AWS services through its Connectors, enhancing the overall functionality and versatility of edge computing. By incorporating these features, AWS IoT Greengrass empowers businesses to maximize the potential of their connected devices while maintaining operational efficiency.

Designed on a container-based runtime, this platform enhances scalability and portability while automating essential business processes across any location. Upgrade your BizTalk Server applications by transitioning them to Logic Apps with the help of the BizTalk migration tool. Establish connections between logic apps and your virtual networks to integrate cloud-based and on-premises solutions in a smooth and secure manner. By containerizing your workflows, you can deploy and operate your applications in any environment—be it cloud, on-premises, or your preferred infrastructure. Implement CI/CD best practices to optimize your workflows and utilize built-in tools to ensure seamless and secure deployments. Logic applications can be deployed and executed in Azure, across various containers, and on local systems. Additionally, you can enable private endpoints, simplify virtual network access, and utilize deployment slots for better management. Develop, debug, and test applications on Windows, MacOS, and Linux using Visual Studio Code for maximum flexibility. By deploying multiple workflows within a single logic app, you can streamline automated deployments and enhance your CI/CD pipelines, making the overall process more efficient and manageable. Overall, this approach not only boosts productivity but also ensures that your applications are consistently up to date.

Mongoose OS is an open-source operating system available in two variants: Community and Enterprise. It offers reliable Over-The-Air updates, secure device provisioning, and remote management, ensuring trusted and proven performance in various applications. Released under the Apache 2.0 license, it allows for commercial licensing and support options. Mongoose OS has been integrated into numerous commercial products, with hundreds of millions of devices actively deployed in production settings. As a recognized partner of Google Cloud IoT Core, it is also recommended by Microsoft Azure IoT for its capabilities in OTA updates, automatic device management, and large-scale firmware deployment. The Azure IoT Hub showcases how to effectively manage firmware updates for devices using Mongoose OS through Over-The-Air capabilities, while Google Cloud IoT Core utilizes MQTT for seamless communication between devices. This robust platform continues to evolve, catering to the needs of developers and organizations focusing on IoT solutions.

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.

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

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.

Deploying web applications that utilize containers has reached unprecedented simplicity. By simply retrieving container images from Docker Hub or a private Azure Container Registry, the Web App for Containers service can swiftly launch your containerized application along with any necessary dependencies into a production environment in mere seconds. This platform efficiently manages operating system updates, provisioning of resources, and balancing the load across instances. You can also effortlessly scale your applications both vertically and horizontally according to their specific demands. Detailed scaling parameters allow for automatic adjustments in response to workload peaks while reducing expenses during times of lower activity. Moreover, with just a few clicks, you can deploy data and host services in various geographic locations, enhancing accessibility and performance. This streamlined process makes it incredibly easy to adapt your applications to changing requirements and ensure they operate optimally at all times.

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.

Ijura Enterprise offers an advanced mobile threat defense solution that operates in the cloud, safeguarding both end-user devices and IoT systems within the data network. Our innovative platform shields smartphones, laptops equipped with SIM cards, tablets, and IoT devices from harmful content and cyber threats. With three patents already filed, our approach to mobile security is comprehensive, effectively addressing weaknesses that allow sophisticated attacks to circumvent traditional security measures while maintaining a smooth user experience for accessing corporate information and personal applications. Adopting a zero-trust philosophy, we prioritize the protection of personal data while simultaneously securing enterprise networks. Additionally, Ijura Enterprise holds three pending patents focused on enhancing the security of any connected device through integration with telecom operators' data servers. Our solution meticulously inspects every data packet to identify potential vulnerabilities, including phishing attempts, malware, and botnet activity, ensuring a robust defense against diverse cyber threats. By continuously evolving our technology, we strive to provide an unparalleled level of security for all connected devices.

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.

The Losant Enterprise IoT Platform serves as a powerful application enablement tool, empowering businesses to create IoT products, services, and applications that can securely scale to accommodate millions of devices. We support IoT solution development for a diverse range of Fortune 500 clients across various sectors, including telecommunications, manufacturing, and industrial IoT. Our platform is equipped to handle multiple use cases, such as asset tracking, monitoring industrial equipment, creating smart environments, and facilitating contact tracing. Every component of Losant, from Edge Compute to End-User Experiences, integrates seamlessly to convert data into customized IoT solutions. Utilize Losant’s edge computing capabilities to deploy logic directly onto edge devices, which helps minimize dependency on constant connectivity and allows for pre-filtering of data before it reaches the cloud. Enhance organization of data and devices through Losant’s advanced tagging and device modeling features. Ensure robust security measures are in place with TLS encryption and fully revocable access keys assigned to each device, thereby reinforcing the integrity of the entire IoT ecosystem. By leveraging these tools, enterprises can significantly enhance their operational efficiency and adaptability in an increasingly connected world.

Nubix is an innovative container platform designed to simplify the development and deployment of Internet of Things (IoT) and edge applications. It is capable of operating on the smallest microprocessors, allowing developers to seamlessly process data directly on the sensor devices that generate it. Unlike traditional methods that necessitate complete firmware replacements—which can sometimes lead to devices becoming inoperable—Nubix mitigates this risk by utilizing tiny containers whose code operates independently from the underlying operating system, thereby enhancing release speed and reducing potential failures. Many existing edge architectures fail to provide true edge computing, compelling developers to send data to the cloud or intermediate gateways for processing. In contrast, Nubix's edge-native architecture empowers processing to occur directly on the devices where data originates, thus eliminating the latency and inefficiencies associated with external networking and remote data handling. Moreover, Nubix is founded on open source technologies, ensuring that users are not confined to proprietary languages and libraries, which enhances flexibility and long-term viability. This commitment to openness also fosters a community-driven approach to innovation, making it a compelling choice for developers seeking to advance their IoT initiatives.

To ensure a robust level of security for all your devices and data, consider choosing Exchange, recognized as the most comprehensive and secure business messaging solution available today. By utilizing Cloudera, you can centralize, process, and analyze your data seamlessly across flexible Cloud platforms in a highly secure and industrialized way. You can initiate micro-services architectures using the Docker containerization platform and automate the deployment process to production environments with GitLab. Our managed services allow for smooth integration with AWS or Azure cloud, enabling you to deploy your applications in the most efficient environments available. With Veeam Cloud Connect, you can implement your PRA/PCA or outsource backups for your virtual machines effectively. This private cloud solution empowers you to adapt swiftly to the fast-paced changes in your business landscape. Millions of companies already count on this cloud benchmark to enhance their agility, making it a trusted choice in the industry. Explore an extensive array of cloud solutions that can create virtual machines in mere seconds, ensuring your operations remain streamlined and responsive. The versatility of these services allows businesses to scale and innovate rapidly, all while maintaining top-notch security and efficiency.

ZEDEDA offers a straightforward and scalable cloud-based orchestration platform that enhances visibility, control, and security for distributed edge environments, allowing users to deploy and manage any application on any hardware seamlessly while connecting to various cloud or on-premises systems. By utilizing ZEDEDA, customers can effortlessly deploy and oversee any edge compute node, enabling them to extract the value from IoT data and make timely decisions. With the flexibility to run any application on any hardware without vendor lock-in, users can operate both legacy and cloud-native applications concurrently. The platform also facilitates bulk deployment of applications with just one click, significantly simplifying the management process. Additionally, ZEDEDA ensures robust security measures by eliminating hardware spoofing, identifying software stack anomalies, and maintaining device integrity. Users can monitor and control data flow across applications and nodes, making it easy to spot any suspicious activities. Furthermore, the platform supports compliance with regulatory requirements and helps mitigate risks associated with data breaches and leaks. Ultimately, ZEDEDA automates the deployment and management of applications and system software directly from the cloud, streamlining the entire edge computing experience. This comprehensive solution empowers organizations to fully leverage their edge infrastructure while maintaining the highest standards of security and compliance.

Balena offers a comprehensive suite of tools that facilitate the creation, deployment, and management of networks of connected Linux devices. We supply infrastructure tailored for fleet managers, enabling them to concentrate on application development and expanding their fleets with minimal obstacles. Our tools are built to seamlessly integrate as a cohesive platform, yet they also allow users to selectively utilize specific components that align with their project needs, tailoring them to fit unique requirements. Understanding that each Internet of Things (IoT) project presents distinct challenges, we avoid a one-size-fits-all approach. For those interested in diving deeper into how balena operates, you’ll find our core platform, known as balenaCloud, includes a robust combination of device, server, and client-side software, all crafted to ensure your code is securely deployed across a network of devices. This modular design empowers users to innovate while maintaining the reliability and security essential for successful deployment.

By 2025, the Internet of Things (IoT) is expected to encompass 41 billion devices that will generate over 76 zettabytes of data. Organizations are increasingly implementing IoT initiatives to enhance manufacturing efficiency and ensure employee safety. Various sectors, including utilities, agriculture, energy, and healthcare, are leveraging networks of interconnected sensors to gather a plethora of observable and actionable insights. However, to unlock the full potential of IoT initiatives, it is crucial for data to be processed swiftly enough to influence decisions within microseconds. Additionally, the costs associated with data processing and storage must remain low to allow organizations to achieve a favorable return on investment. A novel distributed computing technology called Kazuhm is designed to facilitate the processing of IoT data directly across networks, on the devices where it originates, enabling ultra-low latencies and reducing costs compared to traditional cloud or edge solutions. This innovative approach not only optimizes data handling but also empowers businesses to respond to real-time insights more effectively.

Sensor.live is compatible with various open-source boards, allowing users to follow straightforward steps to manage their devices seamlessly in the cloud. You can create personalized IoT rules and control your devices using the mobile app from anywhere at any time! As your collection of smart devices expands, having an efficient manager like Sensor.live becomes essential. This platform can analyze data, enable remote device control, and facilitate over-the-air updates, while also providing visibility into each execution step's progress. Let Sensor.live take charge of monitoring all your devices effortlessly. By sending a single email, you can assign roles to team members, promoting focused responsibilities and fostering creativity. Additionally, you can encourage your colleagues to meet deadlines for their tasks, making it easier to juggle multiple projects without chaos. With its organized approach, Sensor.live transforms device management into a streamlined experience.

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.