Alternatives to Cassandana

The HiveMQ Platform provides a scalable, reliable data backbone with an event-driven MQTT architecture. Here are a few highlights: 1. MQTT Broker: At the heart of the HiveMQ platform is a fully MQTT-compliant broker purpose-built for fast, reliable, bi-directional data movement between IoT devices and enterprise systems. 2. Edge Data Integration: HiveMQ Edge seamlessly integrates edge data by converting industrial protocols into standardized MQTT, enabling an interoperable IIoT infrastructure. 3. IoT Streaming Governance: Data Hub transforms data in flight, passing only the most relevant, contextualized data to cloud and enterprise systems. 4. UNS & IT/OT convergence Enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability. 5. Distributed Data Intelligence: HiveMQ Pulse unifies and contextualizes data across the enterprise for smarter decisions exactly where they matter most. 6. Maximum Interoperability: Runs anywhere on-premises or in public or private clouds. Efficiently connects to streaming applications, databases and data lakes with a Java SDK to build your own 7. Scalability to Support Growth: Elastic scaling with automatic data balancing and smart message distribution. Proven benchmark of up to 200M active clients with 1.8B messages/hour 8. Business Critical Reliability: Zero message loss with persistence to disk and offline queuing. No single point of failure due to masterless cluster architecture and zero downtime upgrades

Amazon ElastiCache enables users to effortlessly establish, operate, and expand widely-used open-source compatible in-memory data stores in the cloud environment. It empowers the development of data-driven applications or enhances the efficiency of existing databases by allowing quick access to data through high throughput and minimal latency in-memory stores. This service is particularly favored for various real-time applications such as caching, session management, gaming, geospatial services, real-time analytics, and queuing. With fully managed options for Redis and Memcached, Amazon ElastiCache caters to demanding applications that necessitate response times in the sub-millisecond range. Functioning as both an in-memory data store and a cache, it is designed to meet the needs of applications that require rapid data retrieval. Furthermore, by utilizing a fully optimized architecture that operates on dedicated nodes for each customer, Amazon ElastiCache guarantees incredibly fast and secure performance for its users' critical workloads. This makes it an essential tool for businesses looking to enhance their application's responsiveness and scalability.

Redis Labs is the home of Redis. Redis Enterprise is the best Redis version. Redis Enterprise is more than a cache. Redis Enterprise can be free in the cloud with NoSQL and data caching using the fastest in-memory database. Redis can be scaled, enterprise-grade resilience, massive scaling, ease of administration, and operational simplicity. Redis in the Cloud is a favorite of DevOps. Developers have access to enhanced data structures and a variety modules. This allows them to innovate faster and has a faster time-to-market. CIOs love the security and expert support of Redis, which provides 99.999% uptime. Use relational databases for active-active, geodistribution, conflict distribution, reads/writes in multiple regions to the same data set. Redis Enterprise offers flexible deployment options. Redis Labs is the home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.

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

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.

Apache ActiveMQ® stands out as the leading open-source, multi-protocol message broker built on Java. It accommodates widely accepted protocols, allowing users to take advantage of diverse client options across various programming languages and platforms. Clients can connect using languages such as JavaScript, C, C++, Python, .Net, and more. The integration of multi-platform applications is made seamless with the widely-used AMQP protocol. Furthermore, web applications can communicate effectively through the STOMP protocol over websockets. ActiveMQ also facilitates the management of IoT devices by leveraging MQTT. It not only supports existing JMS infrastructures but also extends beyond them, providing the robustness and adaptability necessary for any messaging scenario. Presently, there are two distinct versions of ActiveMQ: the traditional "classic" broker and the innovative "next generation" broker known as Artemis. As Artemis develops to match the feature set of the Classic code-base, it is set to evolve into the next major release of ActiveMQ. Initial documentation for migration is accessible, along with a development roadmap outlining the future of Artemis, ensuring users have the guidance they need for a smooth transition. This evolution signifies a commitment to continual improvement and adaptation in a rapidly changing technological landscape.

Amazon MQ is a cloud-based managed message broker service that utilizes Apache ActiveMQ, simplifying the process of establishing and running message brokers. These brokers facilitate communication and information exchange between various software systems, which may be built with different programming languages and operate on distinct platforms. By managing the provisioning, setup, and upkeep of ActiveMQ, a widely-used open-source message broker, Amazon MQ significantly eases your operational burden. Integrating your existing applications with Amazon MQ is straightforward, as it supports industry-standard APIs and messaging protocols such as JMS, NMS, AMQP, STOMP, MQTT, and WebSocket. This adherence to standards often eliminates the need to alter existing messaging code when transitioning to AWS. With just a few clicks in the Amazon MQ Console, you can provision your broker while ensuring compatibility with version upgrades, allowing you to utilize the latest version supported by Amazon MQ. After the broker is set up, your applications will be able to seamlessly produce and consume messages, streamlining your workflow and enhancing overall efficiency. Additionally, this service provides scalability, allowing you to adjust resources based on your application's needs, ensuring optimal performance at all times.

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

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

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.

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

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.

A dependable MQTT broker is crucial for any IoT initiative; however, the process of establishing, troubleshooting, monitoring, and managing one can be quite intricate and demanding. MQTTHQ serves as a load-balanced, multi-node MQTT broker cluster that is specifically crafted to deliver a reliable and robust broker for the creation of IoT products and applications. It accommodates both TCP and WebSocket connections to enhance accessibility. It's important to note that MQTTHQ operates as a public broker, meaning that any data transmitted through it can be seen by other users; therefore, refrain from sharing any sensitive or personal information. To uphold our promise of keeping the MQTTHQ public broker available as a free tool for IoT developers, we periodically implement upgrades and introduce new features, ensuring that the service remains current and effective. This ongoing development also helps us to address any issues that may arise and to enhance the overall user experience.

A lightweight MQTT broker designed for the Java Virtual Machine, perfect for Internet of Things applications. It can be easily integrated into your IoT projects for seamless connectivity.

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

VerneMQ is a versatile open-source software solution that can be extended, and it comes with options for enterprise support. As a powerful and distributed MQTT broker, VerneMQ is designed to excel in performance, efficiently scaling both horizontally and vertically on standard hardware to accommodate numerous concurrent publishers and consumers while ensuring low latency and robust fault tolerance. It serves as a dependable messaging hub for IoT platforms and smart products, allowing developers to create mobile messaging services that require significantly less overhead compared to XMPP. This opens the door to innovative mobile applications that rely on low-latency, bi-directional communication, serving various sectors such as urban environments, residential areas, and transportation systems. Whether it’s managing mobile assets or transitioning from a small experimental project to a fully-fledged industrial application, VerneMQ adeptly manages all messaging needs. It enables users to monitor and control their devices deployed in the field, seamlessly connecting them with data centers, backend services, and mobile apps, reinforcing the reliability of VerneMQ as a central component of your communication infrastructure. With its capabilities, you can confidently rely on VerneMQ to unify and streamline your messaging processes across diverse platforms.

RabbitMQ is a lightweight solution that can be effortlessly deployed both on-premises and in cloud environments. It is compatible with various messaging protocols, making it versatile for different use cases. Furthermore, RabbitMQ can be configured in distributed and federated setups, which cater to demanding scalability and high availability needs. With a vast user base, it stands out as one of the leading open-source message brokers available today. Organizations ranging from T-Mobile to Runtastic leverage RabbitMQ, showcasing its adaptability for both startups and large enterprises. Additionally, RabbitMQ is compatible with numerous operating systems and cloud platforms, offering a comprehensive suite of development tools for popular programming languages. Users can deploy RabbitMQ using tools like Kubernetes, BOSH, Chef, Docker, and Puppet, facilitating seamless integration into their existing workflows. Developers can also create cross-language messaging solutions using their preferred programming languages, such as Java, .NET, PHP, Python, JavaScript, Ruby, and Go, enhancing its utility across various projects.

FairCom MQ merges the advantages of an MQTT broker with the dependability of a dedicated embedded database, ensuring that data is transferred securely between publishers and subscribers through its robust persistence layer. The platform's no-code configuration features simplify app development and facilitate seamless communication among IoT devices. By utilizing FairCom MQ, users can effortlessly gather, push, and pull data as needed, empowering them to manage their information more effectively. Additionally, the messaging systems allow for the integration of new processing capabilities without disrupting existing setups, ensuring that data can be routed efficiently. With its embedded database and store-and-forward functionalities, FairCom MQ guarantees message delivery even during device outages, ensuring that no critical information is ever lost. The inclusion of parallel processing enhances real-time monitoring and notifications, thus eliminating bottlenecks and improving decision-making across applications. Furthermore, our user-friendly plug-and-play broker can be easily operated through straightforward JSON configurations, making it accessible for users of all technical backgrounds. Ultimately, FairCom MQ stands out as a powerful solution for modern data management needs.

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

Terracotta DB offers a robust, distributed solution for in-memory data management, addressing both caching and operational storage needs while facilitating both transactional and analytical processes. The combination of swift RAM capabilities with extensive data resources empowers businesses significantly. With BigMemory, users benefit from: immediate access to vast amounts of in-memory data, impressive throughput paired with consistently low latency, compatibility with Java®, Microsoft® .NET/C#, and C++ applications, and an outstanding 99.999% uptime. The system boasts linear scalability, ensuring data consistency across various servers, and employs optimized data storage strategies across both RAM and SSDs. Additionally, it provides SQL support for in-memory data queries, lowers infrastructure expenses through enhanced hardware efficiency, and guarantees high-performance, persistent storage that ensures durability and rapid restarts. Comprehensive monitoring, management, and control features are included, alongside ultra-fast data stores that intelligently relocate data as needed. Furthermore, the capacity for data replication across multiple data centers enhances disaster recovery capabilities, enabling real-time management of dynamic data flows. This suite of features positions Terracotta DB as an essential asset for enterprises striving for efficiency and reliability in their data operations.

Mosca is compatible with any Node.js application and provides an executable for standalone operation. By running this executable, you can connect it to your chosen MQTT client. To utilize Mosca effectively, it is essential to create a configuration file that specifies the details of the communication broker. This setup allows for seamless integration and streamlined communication between your application and the MQTT client.

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.

Utilize Ignite as a conventional SQL database by employing JDBC drivers, ODBC drivers, or the dedicated SQL APIs that cater to Java, C#, C++, Python, and various other programming languages. Effortlessly perform operations such as joining, grouping, aggregating, and ordering your distributed data, whether it is stored in memory or on disk. By integrating Ignite as an in-memory cache or data grid across multiple external databases, you can enhance the performance of your existing applications by a factor of 100. Envision a cache that allows for SQL querying, transactional operations, and computational tasks. Develop contemporary applications capable of handling both transactional and analytical workloads by leveraging Ignite as a scalable database that exceeds the limits of available memory. Ignite smartly allocates memory for frequently accessed data and resorts to disk storage when dealing with less frequently accessed records. This allows for the execution of kilobyte-sized custom code across vast petabytes of data. Transform your Ignite database into a distributed supercomputer, optimized for rapid calculations, intricate analytics, and machine learning tasks, ensuring that your applications remain responsive and efficient even under heavy loads. Embrace the potential of Ignite to revolutionize your data processing capabilities and drive innovation within your projects.

Coreflux is a next-generation IoT platform that emphasizes seamless integration, scalability and security. At its core: MQTT Broker is the platform's backbone. It facilitates real-time data communication and management between devices, regardless of protocol or manufacturer. Flux DSL is a proprietary domain-specific programming language that allows users to create event-driven workflows and orchestrate sophisticated IoT scenarios. Asset Management (Flux Assets), Manages a wide range of IoT Assets, from sensors to databases. Ensures optimal configuration and performance. Coreflux's integrated tools allow for precise orchestration of devices, workflows and automations. Coreflux is a flexible IoT management platform that can be used by IoT enthusiasts, enterprises, and developers. It can manage a small number of devices or networks with thousands.

A modern and innovative message queue and message broker designed as a lightweight container to operate seamlessly within Kubernetes, recognized in the CNCF ecosystem, and capable of native integration with cloud-native technologies. This solution is tailored for developers, offering comprehensive messaging patterns while ensuring scalability, high availability, and robust security. It enables rapid microservice connections through a diverse array of connectors, all without requiring any coding skills. With user-friendly SDKs and a removal of predefined topics, channels, brokers, and routes, it simplifies the messaging landscape. The Build & Deploy feature allows users to configure KubeMQ components effortlessly with just a few clicks, followed by deployment using the kubectl command line. Additionally, it facilitates quick Kubernetes deployment, taking under a minute, making it exceptionally developer-friendly by addressing various challenges faced by developers and DevOps teams alike. Overall, this platform streamlines the messaging process and enhances productivity in cloud-native environments.

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.

Infinispan is an open-source, in-memory data grid that provides versatile deployment possibilities and powerful functionalities for data storage, management, and processing. This technology features a key/value data repository capable of accommodating various data types, ranging from Java objects to simple text. Infinispan ensures high availability and fault tolerance by distributing data across elastically scalable clusters, making it suitable for use as either a volatile cache or a persistent data solution. By positioning data closer to the application logic, Infinispan enhances application performance through reduced latency and improved throughput. As a Java library, integrating Infinispan into your project is straightforward; all you need to do is include it in your application's dependencies, allowing you to efficiently manage data within the same memory environment as your executing code. Furthermore, its flexibility makes it an ideal choice for developers seeking to optimize data access in high-demand scenarios.

IBM® Messages for RabbitMQ on IBM Cloud® serves as a versatile broker that accommodates various messaging protocols, enabling users to efficiently route, track, and queue messages with tailored persistence levels, delivery configurations, and publish confirmations. With the integration of infrastructure-as-code tools like IBM Cloud Schematics utilizing Terraform and Red Hat® Ansible®, users can achieve global scalability without incurring additional costs. IBM® Key Protect allows customers to use their own encryption keys, ensuring enhanced security. Each deployment features support for private networking, in-database auditing, and various other functionalities. The Messages for RabbitMQ service enables independent scaling of both disk space and RAM to meet specific needs, allowing for seamless growth that is just an API call away. It is fully compatible with RabbitMQ APIs, data formats, and client applications, making it an ideal drop-in replacement for existing RabbitMQ setups. The standard setup incorporates three data members configured for optimal high availability, and deployments are strategically distributed across multiple availability zones to enhance reliability and performance. This comprehensive solution ensures that businesses can effectively manage their messaging needs while maintaining flexibility and security.

MyQttHub offers secure communication via TLS/SSL/HTTPS for both MQTT-TLS and HTTPS protocols. Additionally, users have the ability to manage which source IP addresses are permitted to connect, including those for MQTT administrator accounts, enhancing the security of your cloud IoT project and preventing unauthorized access. This platform enables system interconnections while maintaining isolation between different devices, ensuring that they do not have direct connections yet remain connected. By employing system decoupling techniques, it effectively separates data-generating systems from those that consume and process that data. Furthermore, our team is available to assist you with any design or usage questions to optimize your deployment and utilization of MQTT tailored to your specific needs. We aim to ensure that your experience with the platform is seamless and secure.

Red Hat AMQ serves as a versatile messaging platform that ensures reliable information delivery, fostering real-time integration and enabling connectivity for the Internet of Things (IoT). Built on the foundations of open source projects such as Apache ActiveMQ and Apache Kafka, it accommodates a range of messaging patterns, allowing for the swift and effective integration of applications, endpoints, and devices, which ultimately boosts enterprise agility and responsiveness. With the ability to facilitate high-throughput and low-latency data sharing among microservices and other applications, AMQ significantly enhances operational efficiency. Furthermore, it offers connectivity options for client programs developed in various programming languages, ensuring broad compatibility. The platform also establishes an open-wire protocol for messaging interoperability, which permits businesses to implement diverse distributed messaging solutions tailored to their changing needs. Supported by the award-winning services of Red Hat, AMQ is recognized for its ability to underpin mission-critical applications, reinforcing its value in enterprise environments. Additionally, its adaptability makes it an ideal choice for organizations aiming to stay ahead in a rapidly evolving digital landscape.

Solace is a specialist in Event-Driven-Architecture (EDA), with two decades of experience providing enterprises with highly reliable, robust and scalable data movement technology based on the publish & subscribe (pub/sub) pattern. Solace technology enables the real-time data flow behind many of the conveniences you take for granted every day such as immediate loyalty rewards from your credit card, the weather data delivered to your mobile phone, real-time airplane movements on the ground and in the air, and timely inventory updates to some of your favourite department stores and grocery chains, not to mention that Solace technology also powers many of the world's leading stock exchanges and betting houses. Aside from rock solid technology, stellar customer support is one of the biggest reasons customers select Solace, and stick with them.

Red Hat Runtimes encompasses a suite of products, tools, and components tailored for the development and upkeep of cloud-native applications. This offering features lightweight runtimes and frameworks, such as Quarkus, specifically designed for highly-distributed cloud architectures like microservices. It presents a diverse array of runtimes, frameworks, and programming languages, enabling developers and architects to select the most suitable tool for their specific tasks. Support is provided for popular frameworks including Quarkus, Spring Boot, Vert.x, and Node.js. Additionally, it includes an in-memory distributed data management system optimized for scalability and rapid access to extensive data volumes. There is also an identity management solution that allows developers to implement web single sign-on features adhering to industry standards for enterprise-level security. Furthermore, it integrates a message broker that delivers specialized queuing functionalities, message persistence, and effective management capabilities. Lastly, it features an open-source implementation of the Java™ platform, standard edition (Java SE), which is actively supported and maintained by the OpenJDK community, ensuring developers have access to the latest advancements and support. This comprehensive ecosystem fosters innovation and efficiency in building robust cloud-native applications.

Tatsoft's FrameworX is a .NET-based SCADA and IIoT platform built for engineers who need full control over industrial applications, from edge devices to enterprise systems. AI Designer sets FrameworX apart. Using the Model Context Protocol (MCP), 18 specialized tools give AI direct, real-time access to the Designer IDE. You describe what you need and the AI configures tags, alarms, historian, devices, displays, and scripts immediately, in the same session, with no file imports or code generation. It connects natively with Claude, GitHub Copilot, Cursor, and any MCP-compatible model. Built-in domain intelligence covers ISA-95, UDTs, ISA-18.2 alarm philosophy, and historian best practices. Engineers report 2x to 10x faster configuration. The platform includes real-time data modeling, a built-in historian, alarm management, audit trails, reports, and native scripting in C#, VB.NET, JavaScript, and Python. Over 100 native drivers cover PLCs, DCS, OPC-UA, OPC-DA, and MQTT (broker, client, and SparkplugB). Deploy to web, mobile, or desktop with zero client installs. Every module ships included: Devices, Alarms, Historian, Reports, Security, and DevOps tools. No module licensing. No per-tag fees. Proven in 5,000+ deployments across water, energy, manufacturing, and infrastructure. (FrameworX was formerly known as FactoryStudio.)

Evam's Continuous Intelligence Platform integrates various products aimed at the processing and visualization of real-time data streams. It operates machine learning models in real time while enhancing the data with an advanced in-memory caching system. By doing so, EVAM allows companies in telecommunications, financial services, retail, transportation, and travel sectors to fully leverage their business potential. This platform's machine learning capabilities facilitate the processing of live data, enabling the visual design and orchestration of customer journeys through sophisticated analytical models and AI algorithms. Furthermore, EVAM helps businesses connect with their customers across various channels, including legacy systems, in real time. With the ability to collect and process billions of events instantaneously, companies can gain valuable insights into each customer’s preferences, allowing them to attract, engage, and retain clients more efficiently. The effectiveness of such a system not only enhances operational capabilities but also fosters deeper customer relationships.

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.

The ejabberd XMPP server streamlines essential administrative tasks and vital usage metrics through a user-friendly and customizable management interface designed for administrators. Additionally, the statistics module of the ejabberd XMPP server is compatible with Nagios, a leading IT infrastructure monitoring tool in the industry. This server enhances user interaction via the browser and web applications, promoting efficient real-time messaging. By employing WebSockets, it allows users to effortlessly send and receive messages while their browser tab remains open. For situations where a direct connection is not possible, BOSH functionality serves as a backup for the XMPP server connection. Furthermore, the mobile reliability layer of the ejabberd XMPP server is designed to better handle disconnections in mobile networks, ensuring message deliveries and maintaining consistent conversations across various online devices, including IoT applications, chat servers, instant messaging services, push notifications, and mobile interfaces, thereby enhancing overall user experience. This comprehensive approach ensures that users can rely on ejabberd for seamless communication in diverse scenarios.

ApsaraDB for Redis is a highly automated and scalable solution designed for developers to efficiently manage shared data storage across various applications, processes, or servers. Compatible with the Redis protocol, this tool boasts impressive read-write performance and guarantees data persistence by utilizing both memory and hard disk storage options. By accessing data from in-memory caches, ApsaraDB for Redis delivers rapid read-write capabilities while ensuring that data remains reliable and persistent through its dual storage modes. It also supports sophisticated data structures like leaderboards, counters, sessions, and tracking, which are typically difficult to implement with standard databases. Additionally, ApsaraDB for Redis features an enhanced version known as "Tair." Tair has been effectively managing data caching for Alibaba Group since 2009, showcasing remarkable performance during high-demand events like the Double 11 Shopping Festival, further solidifying its reputation in the field. This makes ApsaraDB for Redis and Tair invaluable tools for developers looking to optimize data handling in large-scale applications.

The Issue: Nearly all software applications exhibit "memory leaks," which gradually diminish the available memory on your computer. As a Windows-based application operates, it utilizes memory resources, yet many of these programs fail to properly release memory, resulting in valuable resources becoming "locked" and hindering the performance of your machine. This situation not only impacts overall speed but also means that memory is often allocated in larger chunks; for instance, if an application requires only 100 bytes, it may end up reserving an entire 2,048-byte memory page. Traditionally, the only method to reclaim this "locked" memory was to restart your computer, but now there is a solution: MemOptimizer™! This innovative tool efficiently clears memory from the in-memory cache that builds up whenever files or applications are accessed on the hard drive, thereby improving system performance. With MemOptimizer™, you can enhance your computer's efficiency without the need for frequent reboots.

MemCachier efficiently manages and scales clusters of memcache servers, allowing you to concentrate on developing your application. Our tailored memcache solution not only enhances reliability and usability compared to traditional memcached, but it also maintains the same low latency performance. Simply specify your memory requirements and begin your journey with a free trial immediately. As your needs evolve, you can seamlessly increase capacity without the need for code modifications. MemCachier stands out as the quickest and most dependable version of memcache, serving as an in-memory, distributed caching system. Specifically crafted for cloud users, MemCachier is built to be user-friendly, more resilient, robust, and cost-effective compared to other options like memcached. By opting for MemCachier, you gain the benefits of rapid response times similar to memcached, while conserving both developer resources and time. You can initiate your experience with a complimentary 25MB and easily upgrade whenever you feel it is necessary, ensuring flexibility as your application grows. This makes it an ideal choice for developers seeking efficiency and reliability in their caching solutions.

Anypoint MQ enables sophisticated asynchronous messaging options like queueing and pub/sub through fully managed cloud message queues and exchanges. This service, part of the Anypoint Platform™, is designed to accommodate various environments and business groups while incorporating role-based access control (RBAC) for enhanced security and management. It offers enterprise-level features, making it suitable for diverse organizational needs and ensuring seamless communication across applications.

Our cutting-edge in-memory technology, alongside our application server, allows you to create exceptionally fast enterprise software without the need for custom tools or unfamiliar syntax. Starcounter applications can deliver performance improvements ranging from 50 to 1000 times while maintaining simplicity and ease of use. You can develop these applications using standard C#, LINQ, and SQL, with ACID transactions also implemented in familiar C# code. The platform provides full support for Visual Studio, including features like IntelliSense, a debugger, and a performance profiler—everything you love about development, but without unnecessary complications. By employing standard C# syntax and the MVVM pattern, you can harness our ACID in-memory technology alongside a lightweight client UI to achieve remarkable performance. Starcounter's technology starts delivering business value right from the outset, utilizing proven solutions that are already handling millions of transactions for high-demand clients. This integration of the ACID in-memory database and an application server into a single platform offers unmatched performance, simplicity, and affordability. Ultimately, Starcounter empowers developers to build robust applications that not only meet but exceed modern business demands.

Apache RocketMQ™ serves as a comprehensive messaging engine and a nimble data processing platform, renowned for its financial-grade reliability that is critical in transaction core processes. It effortlessly integrates with various surrounding ecosystems, including microservices, real-time analytics, and data lakes. With its configurable and low-code approach, it enables seamless data integration across systems, facilitating the creation of streaming ETL processes, data pipelines, and extensive data lakes. This stream computing solution is characterized by its lightweight design, exceptional scalability, high performance, and a plethora of functionalities. It supports diverse message types and incorporates robust message governance techniques to cater to serverless application needs with efficient message granularity and load balancing. The simplicity of its architecture, coupled with a wide array of business features and impressive scalability, has led to widespread adoption among enterprise developers and cloud service providers alike, making it a favored choice in the industry. Its ability to adapt and perform in various contexts further solidifies Apache RocketMQ's position as a vital tool in modern data-driven applications.

IBM® Integration Bus allows for seamless connections between applications, irrespective of the various message formats or protocols they utilize. This capability enables a diverse range of applications to communicate and share information within a flexible, dynamic, and extensible framework. It accommodates numerous data formats, including binary types like C and COBOL, XML, and various industry standards such as SWIFT, EDI, and HIPAA. Additionally, patterns offer reusable solutions that encapsulate proven methods for addressing common architectural, design, or deployment challenges in specific contexts. These patterns can be implemented as-is or tailored to fit specific needs. Furthermore, message flows articulate the connectivity logic of your applications, outlining the precise route that data follows within the integration node, thereby determining the processing applied by the message nodes along that route. This structured approach not only fosters better integration but also enhances overall system performance and reliability.

VMware Tanzu GemFire is a high-speed, distributed in-memory key-value storage solution that excels in executing read and write operations. It provides robust parallel message queues, ensuring continuous availability and an event-driven architecture that can be dynamically scaled without any downtime. As the demand for data storage grows to accommodate high-performance, real-time applications, Tanzu GemFire offers effortless linear scalability. Unlike traditional databases, which may lack the necessary reliability for microservices, Tanzu GemFire serves as an essential caching solution in modern distributed architectures. This platform enables applications to achieve low-latency responses for data retrieval while consistently delivering up-to-date information. Furthermore, applications can subscribe to real-time events, allowing them to quickly respond to changes as they occur. Continuous queries in Tanzu GemFire alert your application when new data becomes accessible, significantly reducing the load on your SQL database and enhancing overall performance. By integrating Tanzu GemFire, organizations can achieve a seamless data management experience that supports their growing needs.

ZeroMQ, often referred to as ØMQ, 0MQ, or zmq, may appear to be just an embeddable networking library, yet it functions as a robust concurrency framework. It provides sockets that transmit atomic messages through various transport methods such as in-process, inter-process, TCP, and multicast. Users can establish N-to-N socket connections utilizing patterns like fan-out, publish-subscribe, task distribution, and request-reply. Its speed makes it suitable as the underlying framework for clustered applications, while its asynchronous I/O architecture enables the development of scalable multicore applications designed as asynchronous message-processing tasks. Furthermore, ZeroMQ supports a wide array of language APIs and is compatible with most operating systems, making it a versatile choice for developers. This flexibility allows for innovative solutions across diverse programming environments.