Alternatives to Solace PubSub+

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.

Anypoint MQ allows advanced asynchronous messaging, such as queueing or pub/sub, with fully hosted and managed cloud messages queues and exchanges. Anypoint MQ is a service of Anypoint Platform™ and supports environments, business groups, role-based access control, and enterprise-grade functionality.

Data integration for hybrid clouds Modern, reliable data integration across both your private cloud and public cloud. All this in real-time, with change data capture and streams. Striim was developed by the executive and technical team at GoldenGate Software. They have decades of experience in mission critical enterprise workloads. Striim can be deployed in your environment as a distributed platform or in the cloud. Your team can easily adjust the scaleability of Striim. Striim is fully secured with HIPAA compliance and GDPR compliance. Built from the ground up to support modern enterprise workloads, whether they are hosted in the cloud or on-premise. Drag and drop to create data flows among your sources and targets. Real-time SQL queries allow you to process, enrich, and analyze streaming data.

Apache Kafka®, is an open-source distributed streaming platform.

RabbitMQ is lightweight, portable, and easy to use on the premises or in the cloud. It supports multiple messaging protocols. RabbitMQ can both be deployed in distributed or federated configurations to meet high availability and scale requirements.

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

Responsive apps keep developers motivated and users engaged. With the DataStax Astra streaming service platform, you can meet these ever-increasing demands. DataStax Astra Streaming, powered by Apache Pulsar, is a cloud-native messaging platform and event streaming platform. Astra Streaming lets you build streaming applications on top a multi-cloud, elastically scalable and event streaming platform. Apache Pulsar is the next-generation event streaming platform that powers Astra Streaming. It provides a unified solution to streaming, queuing and stream processing. Astra Streaming complements Astra DB. Astra Streaming allows existing Astra DB users to easily create real-time data pipelines from and to their Astra DB instances. Astra Streaming allows you to avoid vendor lock-in by deploying on any major public cloud (AWS, GCP or Azure) compatible with open source Apache Pulsar.

Ably is the definitive realtime experience platform. We power more WebSocket connections than any other pub/sub platform, serving over a billion devices monthly. Businesses trust us with their critical applications like chat, notifications and broadcast - reliably, securely and at serious scale.

StreamNative redefines the streaming infrastructure by integrating Kafka MQ and other protocols into a unified platform that provides unparalleled flexibility and efficiency to modern data processing requirements. StreamNative is a unified platform that adapts to diverse streaming and messaging requirements in a microservices environment. StreamNative's comprehensive and intelligent approach to streaming and messaging empowers organizations to navigate with efficiency and agility the complexity and scalability in the modern data ecosystem. Apache Pulsar’s unique architecture decouples message storage from the message serving layer, resulting in a cloud-native data streaming platform. Scalable and elastic, allowing it to adapt to changing business needs and event traffic. Scale up to millions of topics using architecture that decouples computing from storage.

You need a way of integrating applications and data across your enterprise to respond quickly to business needs. Red Hat®, a flexible messaging platform based on open-source communities like Apache ActiveMQ or Apache Kafka, is able to deliver reliable information and enable real-time integration and connection to the Internet of Things.

Eclipse Mosquitto (EPL/EDL licensed), is an open-source message broker that implements MQTT versions 5.0, 3.1 and 3.1.1. Mosquitto is a lightweight message broker that can be used on any device, from single board computers with low power to full servers. The MQTT protocol is a lightweight way to send messages using a publish/subscribe method. This makes it ideal for Internet of Things messages, such as low-power sensors or mobile devices like phones, embedded computers or Microcontrollers. The Mosquitto Project also provides a C Library for implementing MQTT Clients, as well as the very popular command line MQTT client mosquitto_pub.

TIBCO offers industrial-strength software solutions that meet performance, throughput and reliability requirements. They also offer a variety of deployment options and technologies to deliver real-time information where it is needed. The TIBCO platform will allow you to manage and monitor your TIBCO applications, no matter where they are located: in the cloud, on premises, or at the edge. TIBCO builds solutions that are critical to the success of some of the largest companies in the world.

WarpStream, an Apache Kafka compatible data streaming platform, is built directly on object storage. It has no inter-AZ network costs, no disks that need to be managed, and it's infinitely scalable within your VPC. WarpStream is deployed in your VPC as a stateless, auto-scaling binary agent. No local disks are required to be managed. Agents stream data directly into and out of object storage without buffering on local drives and no data tiering. Instantly create new "virtual" clusters in our control plan. Support multiple environments, teams or projects without having to manage any dedicated infrastructure. WarpStream is Apache Kafka protocol compatible, so you can continue to use your favorite tools and applications. No need to rewrite or use a proprietary SDK. Simply change the URL of your favorite Kafka library in order to start streaming. Never again will you have to choose between budget and reliability.

Middleware Observability & management software for Messaging, event processing, and Streaming Across Hybrid Clouds (MESH). - 360 degree situational awareness® with complete observability of Integration MESH - Manage configuration, administration and deployment in a secure manner and automate them. - Track and trace transactions, messages, and flows - Collect data, monitor performance, and benchmark it meshIQ provides granular controls for managing configurations in the MESH, reducing downtime and allowing quick recovery after outages. It allows you to search, browse, track and trace messages in order to detect bottlenecks, speed up root cause analysis, and detect bottlenecks. Unlocks integration blackbox for visibility across MESH infrastructure in order to visualize, analyse, report and predict. Delivers the capability to trigger automated action based on predefined criteria or intelligent AI/ML actions.

Allow everyone to view and discover streaming data. Up to 95% of productivity can be increased by sharing, documenting, and cataloging data. Next, create apps for production use cases using the data. To address privacy concerns and cover all the gaps in open source technology, apply a data-centric security approach. Secure and low-code data pipeline capabilities. All darkness is eliminated and data and apps can be viewed with unparalleled visibility. Unify your data technologies and data meshes and feel confident using open source production. Independent third-party reviews have rated Lenses the best product for real time stream analytics. We have built features to allow you to focus on what is driving value from real-time data. This was based on feedback from our community as well as thousands of engineering hours. You can deploy and run SQL-based real-time applications over any Kafka Connect, Kubernetes or Kubernetes infrastructure, including AWS EKS.

MQTT Broker was created with passion to help you deploy and scale your IoT applications. REST API, dashboard, widgets, complete data storage & more. Quick snapshot of IoT devices with client disconnect and connection. The most important data is visualized using widgets on multiple dashboards. Alerts and coloured notations are available for different value-based triggers. Rules engine to transform MQTT messages for efficient M2M communication automation. Event- and timer-based rules to create actions and match data. Secure publish and subscribe messaging model with two layers of security for device communication. This includes SSL / TLS connectivity and device authentication with Username/ Password as an additional layer. Web security for data view. Multiple message brokers can be set up in Broker High availability mode to simultaneously collect and publish messages from multiple devices. This makes data collection possible with 99.99% success, regardless of the software.

A SQL-based rule engine unlocks the flexibility of data. Integrates with eKuiper for stream processing at the edge. Event-driven WebHooks make it easier to integrate edge computing applications. Easy to maintain using EdgeOps-friendly APIs. NanoMQ is small, but powerful. Despite its small size, NanoMQ is full featured and can compete in all perspectives. Task Layer: NanoMQ is a built in actor model with thread level parallelism. This makes NanoMQ highly scalable on modern SMP systems. Scale out easily to engage multiple cores while using less CPU in the modern SMP platform. Compatible and portable with any POSIX platform. Booting footprint is less that 200Kb with the minimum feature set.

IBM®, Messages for RabbitMQ (IBM Cloud®, supports multiple messaging protocols as an agent. It allows you to route, track, and queue messages with customizable persistence settings, delivery settings, and publish confirmations. Get to global scale with integrated, infrastructure-as-code tools, such as IBM Cloud Schematics with Terraform and Red Hat® Ansible® support at no additional charge. IBM® Key Protect allows you to bring your own encryption keys. Each deployment supports private networking, auditing in-database, and many other features. Messages for RabbitMQ allow you to scale disk or RAM to meet your needs. You can easily grow with elasticity by calling an API. The service is compatible to RabbitMQ data formats, APIs, and clients. Messages for RabbitMQ can be used as an alternative to RabbitMQ. The standard configuration has three data members that are high-availability. Multiple availability zones are used for deployments.

Innovative, modern message queue and broker in a lightweight container designed to run in Kubernetes. Certified in the CNCF landscape. Connect natively to the cloud's native ecosystem.

Streaming service is a streaming service that allows developers and data scientists to stream real-time events. It is serverless and Apache Kafka compatible. Streaming can be integrated with Oracle Cloud Infrastructure, Database, GoldenGate, Integration Cloud, and Oracle Cloud Infrastructure (OCI). The service provides integrations for hundreds third-party products, including databases, big data, DevOps, and SaaS applications. Data engineers can easily create and manage big data pipelines. Oracle manages all infrastructure and platform management, including provisioning, scaling and security patching. Streaming can provide state management to thousands of consumers with the help of consumer groups. This allows developers to easily create applications on a large scale.

Apache Kafka®, with Confluent, has an infinite retention. Be infrastructure-enabled, not infrastructure-restricted Legacy technologies require you to choose between being real-time or highly-scalable. Event streaming allows you to innovate and win by being both highly-scalable and real-time. Ever wonder how your rideshare app analyses massive amounts of data from multiple sources in order to calculate real-time ETA. Wondering how your credit card company analyzes credit card transactions from all over the world and sends fraud notifications in real time? Event streaming is the answer. Microservices are the future. A persistent bridge to the cloud can enable your hybrid strategy. Break down silos to demonstrate compliance. Gain real-time, persistent event transport. There are many other options.

Google Cloud Pub/Sub: Delivery of messages in large quantities with push and pull modes. Auto-scaling, auto-provisioning, support from zero to hundreds GB/second Independent quota and billing are available for subscribers and publishers. Multi-region systems can be simplified by global message routing High availability made easy: Ensure reliable delivery at all scales with synchronous, cross-zone message replication. Auto-everything, no-planning Auto-scaling, auto-provisioning without partitions eliminates the need for planning and ensures that workloads are ready for production from day one. Advanced features built in: Filtering, dead letter delivery, and exponential backoff all help to simplify your applications

ZeroMQ (also known by OMQ or 0MQ or zmq), looks like an embedded networking library, but acts as a concurrency platform. It provides sockets that can carry atomic messages across multiple transports, including TCP, multicast, in-process, and inter-process. You can connect sockets N to N with patterns such as fan-out, pubsub, task distribution and request-reply. It is fast enough to be used as the fabric for clustered goods. Its asynchronous I/O allows you to build multicore applications that are scalable and can be used for asynchronous message processing tasks. It supports a number of language APIs and runs on all operating systems.

Massive amounts data can be moved as messages between services, applications and systems at any one time. If an application isn’t available or a service interruption occurs, messages and transactions may be lost or duplicated. This can cost businesses time and money. IBM has refined IBM MQ over the past 25 years. MQ allows you to hold a message in a queue until it is delivered. MQ moves data once, even file data, to avoid competitors delivering messages twice or not at the right time. MQ will never lose a message. IBM MQ can be run on your mainframe, in containers, in public or private clouds or in containers. IBM offers an IBM-managed cloud service (IBM MQ Cloud), hosted on Amazon Web Services or IBM Cloud, as well as a purpose-built Appliance (IBM MQ Appliance), to simplify deployment and maintenance.

Apache Kafka is a fully managed service that offers zero vendor lock-in, as well as all the capabilities you need to build your streaming infrastructure. You can easily set up fully managed Kafka within 10 minutes using our web console, or programmatically through our API, CLI or Terraform provider. Connect it to your existing tech stack using over 30 connectors. You can feel confident in your setup thanks to the service integrations that provide logs and metrics. Fully managed distributed data streaming platform that can be deployed in any cloud. Event-driven applications, near real-time data transfer and pipelines and stream analytics are all possible uses for this platform. Aiven's Apache Kafka is hosted and managed for you. You can create clusters, migrate clouds, upgrade versions, and deploy new nodes all with a single click. All this and more through a simple dashboard.

Red Hat®, OpenShift®, Streams for Apache Kafka provides a simplified developer experience for building, scaling, and modernizing cloud-native apps or upgrading existing systems. Red Hat OpenShift streams for Apache Kafka make it easy to create, discover and connect to real-time data stream no matter where they're deployed. Streams are essential for delivering event-driven or data analytics applications. The seamless operation of distributed microservices, large data transfers volumes, and managed operations allow teams to focus on their strengths, speed up value, and lower operating costs. OpenShift streams for Apache Kafka is part of the Red Hat OpenShift product range, which allows you to build a wide variety of data-driven solutions.

Amazon MQ is a managed messaging broker service for Apache ActiveMQ. It makes it easy to create and manage message brokers in the Cloud. Message brokers allow multiple software systems to communicate and exchange information, even though they may use different programming languages and platforms. Amazon MQ helps reduce your operational burden by managing ActiveMQ, an open-source message broker, provisioning, setup and maintenance. It uses industry-standard protocols and APIs for messaging to connect your existing applications to Amazon MQ. These include JMS, NMS and AMQP. Standardization means that you don't have to rewrite any message code in most cases when migrating to AWS.

IBM® Event Streams, an event-streaming platform built on Apache Kafka open-source software, is a smart app that reacts to events as they occur. Event Streams is based upon years of IBM operational experience running Apache Kafka stream events for enterprises. Event Streams is ideal for mission-critical workloads. You can extend the reach and reach of your enterprise assets by connecting to a variety of core systems and using a scalable RESTAPI. Disaster recovery is made easier by geo-replication and rich security. Use the CLI to take advantage of IBM productivity tools. Replicate data between Event Streams deployments during a disaster-recovery scenario.

Infrared360®, a complete solution for administration, monitoring, load testing, auditing, statistical reporting, and self-service for enterprise middleware environments, is available.

CMQ can send/receive, push and push tens to millions of messages efficiently and can retain an unlimited amount of messages. It can process more than 100,000 queries per second (QPS), with one cluster. This allows it to fully meet your business' messaging needs. CMQ creates three copies of each message to be returned to the user. This allows the backend data replication mechanism to quickly migrate data to other servers in case one fails. CMQ supports HTTPS secure access and Tencent Cloud's multidimensional security protection to protect your business from network attacks. It also supports the management of master/sub-accounts as well as collaborator accounts, which allows for fine-grained access control to resource access.

Apache Pulsar, a cloud-native distributed messaging and streaming platform, was originally created by Yahoo! It is now a top-level Apache Software Foundation Project. It is easy to deploy, lightweight, and can be used by developers. You don't need to create your own stream processing engine. Yahoo! Production. Yahoo! has been in production for more than 5 years with millions of messages per minute across millions of topics. As a multi-tenant system, it was built from the ground up. Supports isolation, authentication authorization, authorization, and quotas. Configurable replication between data centres across multiple geographical regions. Persistent message storage using Apache BookKeeper. IO-level isolation between read and write operations. Rest admin API for provisioning and administration, tools, and monitoring.

Amazon MSK is a fully managed service that makes coding and running applications that use Apache Kafka for streaming data processing easy. Apache Kafka is an open source platform that allows you to build real-time streaming data applications and pipelines. Amazon MSK allows you to use native Apache Kafka APIs for populating data lakes, stream changes between databases, and to power machine learning or analytics applications. It is difficult to set up, scale, and manage Apache Kafka clusters in production. Apache Kafka clusters can be difficult to set up and scale on your own.

ejabberd XMPP servers simplify critical administration and key usage statistics with an easy-to use and customizable management module for administrators. ejabberd XMPP's server statistics module can be used with Nagios (the industry standard IT infrastructure monitoring tool). ejabberd XMPP supports more interaction with the browser, web app, and facilitates real-time messaging. WebSockets allow you to seamlessly send and get messages from any browser tab. BOSH is available as a fallback to XMPP server connections. ejabberd XMPP Server mobile reliability layer manages mobile network's disconnection and message deliveries, consistent conversation across any online device, IoT chat server, IM service, push notifications, and mobile interfaces.

Axual provides Kafka-as-a-Service to DevOps teams. Our intuitive Kafka platform will empower your team to unlock insights, drive decisions and improve productivity. Axual is the ideal solution for enterprises that want to seamlessly integrate data streaming with their core IT infrastructure. Our all-in one Kafka platform was designed to eliminate the requirement for extensive technical skills or knowledge, and provide a ready-made product that delivers all of the benefits of event-streaming without the hassle. The Axual Platform, an all-in-one platform, is designed to simplify and enhance the deployment and management of Apache Kafka real-time streaming data. The Axual Platform offers a wide range of features to meet the needs of modern enterprises. This allows organizations to maximize the potential of data streaming, while minimizing complexity.

Event Hubs is a fully managed, real time data ingestion service that is simple, reliable, and scalable. Stream millions of events per minute from any source to create dynamic data pipelines that can be used to respond to business problems. Use the geo-disaster recovery or geo-replication features to continue processing data in emergencies. Integrate seamlessly with Azure services to unlock valuable insights. You can allow existing Apache Kafka clients to talk to Event Hubs with no code changes. This allows you to have a managed Kafka experience, without the need to manage your own clusters. You can experience real-time data input and microbatching in the same stream. Instead of worrying about infrastructure management, focus on gaining insights from your data. Real-time big data pipelines are built to address business challenges immediately.

We provide a geo-distributed, real-time database, stream processing, and compute runtime for event driven applications across up to 175 global edge data centers. Our platform is loved by API and app developers because it solves the most difficult problems of sharing mutable states across hundreds of locations around the world. We also have high consistency and low latency. Macrometa allows you to surgically expand your existing infrastructure to bring your application closer to your users. This allows you to improve performance and user experience, as well as comply with global data governance laws. Macrometa is a streaming, serverless NoSQL database that can be used for stream data processing, pub/sub, and compute engines. You can create stateful data infrastructure, stateful function & containers for long-running workloads, and process data streams real time. We do the ops and orchestration, you write the code.

IBM® StreamSets allows users to create and maintain smart streaming data pipelines using an intuitive graphical user interface. This facilitates seamless data integration in hybrid and multicloud environments. IBM StreamSets is used by leading global companies to support millions data pipelines, for modern analytics and intelligent applications. Reduce data staleness, and enable real-time information at scale. Handle millions of records across thousands of pipelines in seconds. Drag-and-drop processors that automatically detect and adapt to data drift will protect your data pipelines against unexpected changes and shifts. Create streaming pipelines for ingesting structured, semistructured, or unstructured data to deliver it to multiple destinations.

Amazon EventBridge is a serverless event bus that makes it easy to connect applications together using data from your own applications, integrated Software-as-a-Service (SaaS) applications, and AWS services. EventBridge provides a stream of real time data from event sources like Pagerduty, Datadog, and Zendesk. It routes that data to AWS Lambda. To build applications that respond in real-time to all your data sources, you can set up routing rules. EventBridge makes it easy for you to create event-driven apps. It handles event ingestion, delivery, authorization, security, and error handling. Your applications will become more interconnected by events. You need to spend more time finding and understanding the structure of events in order to write code that reacts to them.

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.

Event Grid simplifies event-based apps. It is a single service that manages all events from any source to any destination. Event Grid is designed to be highly available, consistent in performance, and dynamically scale. This allows you to focus on your app logic, rather than infrastructure. Eliminate polling and the associated cost- and latency. Event Grid allows event publishers to be decoupled with event subscribers through a pub/sub model. This allows you to create scalable, serverless, microservices and distributed systems. You can gain massive scale dynamically while receiving near-real-time notifications about any changes that you are interested in. Reactive programming allows you to build better and more reliable applications, taking advantage of guaranteed event delivery and high availability in the cloud. Connect multiple sources and destinations of events to create richer applications.

It is difficult, costly, and risky to connect systems to scale AI projects. Pandio's cloud native managed solution simplifies data pipelines to harness AI's power. You can access your data from any location at any time to query, analyze, or drive to insight. Big data analytics without the high cost Enable data movement seamlessly. Streaming, queuing, and pub-sub with unparalleled throughput, latency and durability. In less than 30 minutes, you can design, train, deploy, and test machine learning models locally. Accelerate your journey to ML and democratize it across your organization. It doesn't take months or years of disappointment. Pandio's AI driven architecture automatically orchestrates all your models, data and ML tools. Pandio can be integrated with your existing stack to help you accelerate your ML efforts. Orchestrate your messages and models across your organization.

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

AliwareMQ is a messaging service specifically designed for IoT and mobile Internet. The service can be used in multiple scenarios including live streaming, financial payments and instant messaging. Message Queue MQTT supports multiple protocols, including MQTT or WebSocket to allow two-way communication between devices and the cloud. This allows messages to be exchanged in multiple business models, including C2C and C2B, for Internet of Everything.

Apache ActiveMQ®, a Java-based, open-source, multi-protocol message broker, is one of the most popular. It supports industry-standard protocols, so users can enjoy the benefits of client options across a wide range of languages and platforms. Connect to clients written in JavaScript and C++. Use the ubiquitous AMQP protocol to integrate multi-platform applications. Use STOMP over websockets to exchange messages between web applications. Manage your IoT devices using MQTT. Support your existing JMS infrastructure, and more. ActiveMQ has the flexibility and power to support any messaging use case. There are currently two ActiveMQ flavors available: the well-known "classic broker" and the "next-generation" broker code-named Artemis. Artemis will be the next major ActiveMQ version once it reaches sufficient feature parity with its "Classic" code base. Artemis has an initial migration document and a development roadmap.

AWS IoT Core allows you to connect IoT devices directly to the AWS cloud without having to manage or provision servers. AWS IoT Core supports billions of devices and trillions in messages. It can process and route these messages to AWS endpoints as well as other devices securely and reliably. AWS IoT Core allows your applications to keep track of all your devices and communicate with them even when they're not connected. AWS IoT Core makes it easy for you to use AWS services such as Amazon Kinesis and Amazon SageMaker, Amazon DynamoDB and Amazon CloudWatch, Amazon CloudTrail, Amazon QuickSight and Amazon CloudWatch. This allows you to create IoT applications that collect, process, analyze, and act upon data generated from connected devices without the need to manage any infrastructure. AWS IoT Core lets you connect any number devices to the cloud, and to other devices, without having to manage servers.

Deliver Continuous Intelligence Solutions easier, faster and more cost-effectively with less engineering effort. The Cogility Cogynt Platform delivers cloud-scalable, Expert AI-based analytics-powered event stream processing software. A complete integrated toolset allows organizations to deliver continuous intelligence solutions quickly, easily and more efficiently. The end-toend platform streamlines deployment by streamlining model logic, customizing the data source intake, processing of data streams, examining and visualizing intelligence findings, sharing them, auditing, and improving results. Cogynt’s Authoring Tool is a convenient design environment that uses zero-code for creating, updating and deploying data model. Cogynt Data Management Tool allows you to quickly publish your model for immediate application to stream data processing, while abstracting Flink Job Coding.

Superstream: An AI Solution That Lowers Expenses and Boosts Kafka Performance by 75%, With Zero Modifications to Your Current Infrastructure.

Aiven manages your open-source data infrastructure in the cloud so that you don't have. Developers can do what is best for them: create applications. We do what we love: manage cloud data infrastructure. All solutions are open-source. You can also freely transfer data between clouds and create multi-cloud environments. You will know exactly what you will be paying and why. We combine storage, networking, and basic support costs. We will keep your Aiven software up and running. We will be there to help you if there is ever an issue. In 10 minutes, you can deploy a service on Aiven. 1. Register now - No credit card information required 2. Select your open-source service and choose the region and cloud to deploy to it 3. Select your plan and get $300 in credit 4. Click "Create service" to configure your data sources

Apache RocketMQ™, a lightweight messaging engine and data processing platform, is an example of a unified message engine.