Alternatives to StreamNative
Compare StreamNative alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to StreamNative in 2025. Compare features, ratings, user reviews, pricing, and more from StreamNative competitors and alternatives in order to make an informed decision for your business.
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Amazon EventBridge
Amazon
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 delivers a stream of real-time data from event sources, such as Zendesk, Datadog, or Pagerduty, and routes that data to targets like AWS Lambda. You can set up routing rules to determine where to send your data to build application architectures that react in real time to all of your data sources. EventBridge makes it easy to build event-driven applications because it takes care of event ingestion and delivery, security, authorization, and error handling for you. As your applications become more interconnected through events, you need to spend more effort to find events and understand their structure in order to write code to react to those events. -
2
EMQX
EMQ Technologies
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 connectivity 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.Starting Price: $0.18 per hour -
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Open Automation Software
Open Automation Software
Liberate your Industry 4.0 data with Open Automation Software IIoT platform for Windows and Linux. OAS is truly an unlimited IoT Gateway for Windows, Linux, Raspberry Pi 4, Windows IoT Core, and Docker deployments. Create HMI visualization for web, WPF, and WinForm C# and VB .NET applications. Log data and alarms to SQL Server, Oracle, MS Access, MySQL, Azure SQL, PostgreSQL, Cassandra, MongoDB, MariaDB, SQLite, InfluxDB, and CSV files. MQTT Broker and Client interface along with cloud connectivity to Azure IoT and AWS IoT Gateway. Read and write data from remote Excel Workbooks. Alarm notification to email, SMS text, and voice messaging. .NET and REST API programmatic access. Allen Bradley ControlLogix, CompactLogix, GuardLogix, Micro800, MicroLogix, SLC 500, and PLC-5. Siemens S7-200, S7-300, S7-400, S7-1200, and S7-1500. Modbus TCP, Modbus RTU, and Modbus ASCII for Master and Slave communications. OPTO-22, MTConnect, and OPC UA, OPC DA.Starting Price: $495 one-time payment -
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Apache Kafka
The Apache Software Foundation
Apache Kafka® is an open-source, distributed streaming platform. Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing. Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions. Process streams of events with joins, aggregations, filters, transformations, and more, using event-time and exactly-once processing. Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more. Read, write, and process streams of events in a vast array of programming languages. -
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Astra Streaming
DataStax
Responsive applications keep users engaged and developers inspired. Rise to meet these ever-increasing expectations with the DataStax Astra Streaming service platform. DataStax Astra Streaming is a cloud-native messaging and event streaming platform powered by Apache Pulsar. Astra Streaming allows you to build streaming applications on top of an elastically scalable, multi-cloud messaging and event streaming platform. Astra Streaming is powered by Apache Pulsar, the next-generation event streaming platform which provides a unified solution for streaming, queuing, pub/sub, and stream processing. Astra Streaming is a natural complement to Astra DB. Using Astra Streaming, existing Astra DB users can easily build real-time data pipelines into and out of their Astra DB instances. With Astra Streaming, avoid vendor lock-in and deploy on any of the major public clouds (AWS, GCP, Azure) compatible with open-source Apache Pulsar. -
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HiveMQ
HiveMQ
HiveMQ empowers businesses to unlock the full potential of their data with the most trusted edge-to-cloud IoT data streaming platform. Built on MQTT’s publish/subscribe architecture for seamless and flexible integration across operational technology (OT) assets and information technology (IT) applications, HiveMQ ensures businesses can efficiently connect, stream, and govern their data in real-time. With a focus on reliability, scalability, and security, HiveMQ helps organizations get their data AI-ready—enabling advanced analytics, predictive maintenance, and digital transformation. Leading brands like Audi, BMW, Liberty Global, Mercedes-Benz, Siemens, and Eli Lilly trust HiveMQ to modernize their operations, accelerate innovation, and create smarter, data-driven experiences. Visit hivemq.com to learn more. -
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Apache Pulsar
Apache Software Foundation
Apache Pulsar is a cloud-native, distributed messaging and streaming platform originally created at Yahoo! and now a top-level Apache Software Foundation project. Easy to deploy, lightweight compute process, developer-friendly APIs, no need to run your own stream processing engine. Run in production at Yahoo! scale for over 5 years, with millions of messages per second across millions of topics. Built from the ground up as a multi-tenant system. Supports isolation, authentication, authorization and quotas. Configurable replication between data centers across multiple geographic regions. Persistent message storage based on Apache BookKeeper. IO-level isolation between write and read operations. Rest admin API for provisioning, administration, tools and monitoring. -
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Red Hat AMQ
Red Hat
Red Hat AMQ is a flexible messaging platform that delivers information reliably, enabling real-time integration and connecting the Internet of Things (IoT). Based on open source communities like Apache ActiveMQ and Apache Kafka, it supports various messaging patterns to integrate applications, endpoints, and devices quickly and efficiently, enhancing enterprise responsiveness and agility. AMQ facilitates data sharing between microservices and other applications with high throughput and low latency. AMQ supports connectivity from client programs written in multiple languages. It defines an open-wire protocol for messaging interoperability, allowing enterprises to deploy various distributed messaging solutions to meet evolving business requirements. Backed by Red Hat's award-winning support and services, AMQ has a track record of supporting mission-critical applications. -
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IBM MQ
IBM
Massive amounts of data move as messages between applications, systems and services at any given time. If an application isn’t ready or if there’s a service interruption, messages and transactions can be lost or duplicated, costing businesses time and money to make things right. IBM has expertly refined IBM MQ over 25 years on the market. With MQ, if a message can’t be delivered immediately, it’s secured in a queue, where it waits until delivery is assured. Where competitors may deliver messages twice or not at all, MQ moves data, including file data, once — and once only. Never lose a message with MQ. IBM MQ is available as software to run in public or private clouds, in containers or on your mainframe. IBM also offers an IBM-managed cloud service (IBM MQ on Cloud) hosted on IBM Cloud or Amazon, and even as a purpose-built Appliance (IBM MQ Appliance) to simplify deployment and maintenance. -
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PubSub+ Platform
Solace
Solace PubSub+ Platform helps enterprises design, deploy and manage event-driven systems across hybrid and multi-cloud and IoT environments so they can be more event-driven and operate in real-time. The PubSub+ Platform includes the powerful PubSub+ Event Brokers, event management capabilities with PubSub+ Event Portal, as well as monitoring and integration capabilities all available via a single cloud console. PubSub+ allows easy creation of an event mesh, an interconnected network of event brokers, allowing for seamless and dynamic data movement across highly distributed network environments. PubSub+ Event Brokers can be deployed as fully managed cloud services, self-managed software in private cloud or on-premises environments, or as turnkey hardware appliances for unparalleled performance and low TCO. PubSub+ Event Portal is a complimentary toolset for design and governance of event-driven systems including both Solace and Kafka-based event broker environments. -
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RabbitMQ
RabbitMQ
RabbitMQ is lightweight and easy to deploy on-premises and in the cloud. It supports multiple messaging protocols. RabbitMQ can be deployed in distributed and federated configurations to meet high-scale, high-availability requirements. With tens of thousands of users, RabbitMQ is one of the most popular open-source message brokers. From T-Mobile to Runtastic, RabbitMQ is used worldwide at small startups and large enterprises. RabbitMQ is lightweight and easy to deploy on-premises and in the cloud. It supports multiple messaging protocols. RabbitMQ can be deployed in distributed and federated configurations to meet high-scale, high-availability requirements. RabbitMQ runs on many operating systems and cloud environments and provides a wide range of developer tools for most popular languages. Deploy with Kubernetes, BOSH, Chef, Docker and Puppet. Develop cross-language messaging with favorite programming languages such as Java, .NET, PHP, Python, JavaScript, Ruby, Go, etc.Starting Price: Free -
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Ably
Ably
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 like HubSpot, NASCAR and Webflow trust us to power their critical applications - reliably, securely and at serious scale. Ably’s products place composable realtime in the hands of developers. Simple APIs and SDKs for every tech stack, enable the creation of a host of live experiences - including chat, collaboration, notifications, broadcast and fan engagement. All powered by our scalable infrastructure.Starting Price: $49.99/month -
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Amazon Simple Notification Service (SNS) is a fully managed messaging service for both system-to-system and app-to-person (A2P) communication. It enables you to communicate between systems through publish/subscribe (pub/sub) patterns that enable messaging between decoupled microservice applications or to communicate directly to users via SMS, mobile push and email. The system-to-system pub/sub functionality provides topics for high-throughput, push-based, many-to-many messaging. Using Amazon SNS topics, your publisher systems can fanout messages to a large number of subscriber systems or customer endpoints including Amazon SQS queues, AWS Lambda functions and HTTP/S, for parallel processing. The A2P messaging functionality enables you to send messages to users at scale using either a pub/sub pattern or direct-publish messages using a single API.
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Azure Event Hubs
Microsoft
Event Hubs is a fully managed, real-time data ingestion service that’s simple, trusted, and scalable. Stream millions of events per second from any source to build dynamic data pipelines and immediately respond to business challenges. Keep processing data during emergencies using the geo-disaster recovery and geo-replication features. Integrate seamlessly with other Azure services to unlock valuable insights. Allow existing Apache Kafka clients and applications to talk to Event Hubs without any code changes—you get a managed Kafka experience without having to manage your own clusters. Experience real-time data ingestion and microbatching on the same stream. Focus on drawing insights from your data instead of managing infrastructure. Build real-time big data pipelines and respond to business challenges right away.Starting Price: $0.03 per hour -
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Azure Event Grid
Microsoft
Simplify your event-based apps with Event Grid, a single service for managing routing of all events from any source to any destination. Designed for high availability, consistent performance, and dynamic scale, Event Grid lets you focus on your app logic rather than infrastructure. Eliminate polling—and the associated cost and latency. With Event Grid, event publishers are decoupled from event subscribers using a pub/sub model and simple HTTP-based event delivery, allowing you to build scalable serverless applications, microservices, and distributed systems. Gain massive scale, dynamically, while getting near-real-time notifications for changes you’re interested in. Build better, more reliable applications through reactive programming, capitalizing on guaranteed event delivery and the high availability of the cloud. Develop richer application scenarios by connecting multiple possible sources and destinations of events. -
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IBM Event Streams is a fully managed event streaming platform built on Apache Kafka, designed to help enterprises process and respond to real-time data streams. With capabilities for machine learning integration, high availability, and secure cloud deployment, it enables organizations to create intelligent applications that react to events as they happen. The platform supports multi-cloud environments, disaster recovery, and geo-replication, making it ideal for mission-critical workloads. IBM Event Streams simplifies building and scaling real-time, event-driven solutions, ensuring data is processed quickly and efficiently.
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Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS eliminates the complexity and overhead associated with managing and operating message oriented middleware, and empowers developers to focus on differentiating work. Using SQS, you can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available. Get started with SQS in minutes using the AWS console, Command Line Interface or SDK of your choice, and three simple commands. Use Amazon SQS to transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be available. SQS lets you decouple application components so that they run and fail independently, increasing the overall fault tolerance of the system.
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Infrared360
Avada Software
Infrared360® is a complete solution for Administration, Monitoring, Load Testing, Auditing, Statistical Reporting and Self-Service for Enterprise middleware environments. Don’t let cloud platforms, containers, and other modern distributed architecture challenge your Service Level Objectives. Unlike other solutions, that write to logs and then trigger alerts from averages in those logs (causing oftentimes critical delays), Infrared360® provides True Real-Time™ monitoring with automatic notification of potential problems so you can maintain an optimally performing middleware layer. Auto-Discovery. Any objects, as soon as they have been created on any OS, including Queue Sharing groups and transmission queues, are auto-discovered so you can instantly determine if the allocated objects are correctly defined for availability to applications or subsystems. -
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Apache RocketMQ
Apache Software Foundation
Apache RocketMQ™ is a unified messaging engine, lightweight data processing platform. Financial-grade stability, widely used in transaction core links. Seamless connection to surrounding ecosystems such as microservices, real-time computing, and data lakes. Configurable, low-code way to integrate data, can establish connection with any system, can be used to build streaming ETL, data pipeline, data lake, etc. Stream computing engine that provides light weight, high scalability, high performance and rich functions. Rich message type support and message governance methods to meet serverless application scenarios with message granularity load balancing. Apache RocketMQ has been widely adopted by many enterprise developers and cloud vendors due to its simple architecture, rich business functions, and strong scalability. -
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AliwareMQ for IoT
Alibaba Cloud
AliwareMQ for IoT is a message service that is designed specifically for IoT and mobile Internet (MI). The service can be applied to multiple scenarios, including live streaming, financial payments, smart catering, instant messaging, mobile apps, smart devices, and Internet of Vehicles. Message Queue for MQTT supports multiple protocols including MQTT and WebSocket to enable two-way communications between devices and the cloud. In this way, messages can be exchanged in multiple business models including C2C, C2B, and B2C to achieve Internet of Everything. -
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Google Cloud Pub/Sub
Google
Google Cloud Pub/Sub. Scalable, in-order message delivery with pull and push modes. Auto-scaling and auto-provisioning with support from zero to hundreds of GB/second. Independent quota and billing for publishers and subscribers. Global message routing to simplify multi-region systems. High availability made simple. Synchronous, cross-zone message replication and per-message receipt tracking ensure reliable delivery at any scale. No planning, auto-everything. Auto-scaling and auto-provisioning with no partitions eliminate planning and ensures workloads are production-ready from day one. Advanced features, built in. Filtering, dead-letter delivery, and exponential backoff without sacrificing scale help simplify your applications. A fast, reliable way to land small records at any volume, an entry point for real-time and batch pipelines feeding BigQuery, data lakes and operational databases. Use it with ETL/ELT pipelines in Dataflow. -
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meshIQ
meshIQ
Middleware Observability & Management Software for Messaging, Event Processing, and Streaming Across Hybrid Cloud (MESH). - Complete observability and monitoring of Integration MESH with 360° Situational Awareness® - Securely manage, and automate configuration, administration, and deployment - Track, trace, and analyze transactions, messages and flows - Collect, monitor, and benchmark MESH performance meshIQ delivers granular access controls to manage configurations across the MESH to reduce downtime and quick recovery from outages. Provides the ability to find, browse, track, and trace messages to detect bottlenecks and speeding up root-cause analysis. Unlocks the integration blackbox to deliver visibility across the MESH infrastructure to visualize, analyze, report, and predict. Delivers the ability to trigger automated actions based on pre-defined criteria or intelligent actions determined by AI/ML. -
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IBM® Messages for RabbitMQ on IBM Cloud® supports multiple messaging protocols as a broker. It lets you route, track and queue messages with customizable persistence levels, 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 lets you can bring your own encryption key. Each deployment supports private networking, in-database auditing and more. Messages for RabbitMQ allows you to scale disk and RAM independently to fit your requirements. Grow with elasticity just an API call away. The service is compatible with RabbitMQ APIs, data formats and clients. You can use Messages for RabbitMQ as a drop-in replacement for RabbitMQ. The standard configuration includes three data members configured for high availability. Deployments use multiple availability zones.
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Amazon MQ
Amazon
Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud. Message brokers allow different software systems–often using different programming languages, and on different platforms–to communicate and exchange information. Amazon MQ reduces your operational load by managing the provisioning, setup, and maintenance of ActiveMQ, a popular open-source message broker. Connecting your current applications to Amazon MQ is easy because it uses industry-standard APIs and protocols for messaging, including JMS, NMS, AMQP, STOMP, MQTT, and WebSocket. Using standards means that in most cases, there’s no need to rewrite any messaging code when you migrate to AWS. With a few clicks in the Amazon MQ Console, Amazon MQ provisions your broker with support for version upgrades, so you can always use the latest version that Amazon MQ supports. Once you configure your broker, your applications can produce and consume messages. -
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TIBCO Platform
Cloud Software Group
TIBCO delivers industrial-strength solutions that meet your performance, throughput, reliability, and scalability needs while offering a wide range of technology and deployment options to deliver real-time data where it’s needed most. The TIBCO Platform will bring together an evolving set of your TIBCO solutions wherever they are hosted—in the cloud, on-premises, and at the edge—into a single, unified experience so that you can more easily manage and monitor them. TIBCO helps build solutions that are essential to the success of the world’s largest enterprises. -
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KubeMQ
KubeMQ
Innovative and modern message queue and message broker in a lightweight container developed to run in Kubernetes, certified in the CNCF landscape and connect natively to the cloud-native ecosystem. A message broker and message queue ideal for developers. Provides all messaging patterns, scalable, highly available, and secure. Connect microservices instantly using a rich set of connectors without writing any code. Easy-to-use SDKs and elimination of predefined topics, channels, brokers, and routes. Build & Deploy allows configurations of KubeMQ components to be built with a few clicks and deployed with kubectl command line. Innovative and modern message queue and message broker in a lightweight container developed to run in Kubernetes, certified in the CNCF landscape, and connect natively to the cloud-native ecosystem. Simple deployment in Kubernetes in less than 1 minute. Developer friendly by simple to use SDKs and elimination of the many developers and DevOps-centered challenges. -
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Confluent
Confluent
Infinite retention for Apache Kafka® with Confluent. Be infrastructure-enabled, not infrastructure-restricted Legacy technologies require you to choose between being real-time or highly-scalable. Event streaming enables you to innovate and win - by being both real-time and highly-scalable. Ever wonder how your rideshare app analyzes massive amounts of data from multiple sources to calculate real-time ETA? Ever wonder how your credit card company analyzes millions of credit card transactions across the globe and sends fraud notifications in real-time? The answer is event streaming. Move to microservices. Enable your hybrid strategy through a persistent bridge to cloud. Break down silos to demonstrate compliance. Gain real-time, persistent event transport. The list is endless. -
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Red Hat Integration
Red Hat
Red Hat® Integration is a comprehensive set of integration and messaging technologies to connect applications and data across hybrid infrastructures. It is an agile, distributed, containerized, and API-centric solution. It provides service composition and orchestration, application connectivity and data transformation, real-time message streaming, change data capture, and API management, all combined with a cloud-native platform and toolchain to support the full spectrum of modern application development. Deploy enterprise integration patterns (EIPs) based integrations using 200+ pluggable connectors to connect new and existing data across the hybrid cloud. Create, deploy, monitor, and control APIs throughout their entire lifecycle. With an API-first approach, extend your integrations across hybrid and multi-cloud environments. Develop and manage services in popular container standards, as well as package and deploy lightweight containers in distributed environments. -
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IBM Event Automation is a fully composable event-driven solution designed to enable users to detect situations, act in real time, automate decisions, and maximize revenue potential. It allows businesses to respond in real time using Apache Flink, leveraging AI to anticipate critical business patterns. It facilitates the development of scalable applications to meet evolving business needs and handle increasing workloads seamlessly. It enables self-service access with approval controls, field redaction, and schema filtering, enforced by a Kafka-native event gateway via policy administration. IBM Event Automation unifies and accelerates event management by using policy administration for self-service access, enabling control definitions for approval processes, field-level redaction, and schema-based filtering. Use cases include transaction data analysis, inventory optimization, detecting suspicious activity, enhancing customer understanding, predictive maintenance, etc.
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GoSaaS Integrator
GoSaaS
GoSaaS Integrator is a lightweight, scalable enterprise integration solution that works seamlessly with both on-premise and cloud applications. The GoSaaS integrator is designed for the synchronization of objects between any two systems. It is a message-based integration system that has the capability to pull or push the data from any complex system based upon the invoke/trigger adapters. Maintain a smooth business flow to ensure consistent data across all the systems with the help of this intelligent solution. Mappings and transformation can be carried out to ensure conformity to the destination format. It is a framework to build complex, high-performance, and robust integrations between the systems. We have implemented microservices architecture for the sake of scalability and reusability. Ensures that data accuracy is maintained between the systems. Provides enhanced change management, supports bidirectional synchronization, and ensures easy business flow. -
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Amazon MSK
Amazon
Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. With Amazon MSK, you can use native Apache Kafka APIs to populate data lakes, stream changes to and from databases, and power machine learning and analytics applications. Apache Kafka clusters are challenging to setup, scale, and manage in production. When you run Apache Kafka on your own, you need to provision servers, configure Apache Kafka manually, replace servers when they fail, orchestrate server patches and upgrades, architect the cluster for high availability, ensure data is durably stored and secured, setup monitoring and alarms, and carefully plan scaling events to support load changes.Starting Price: $0.0543 per hour -
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IronMQ
Iron.io
MQ provides a reliable way to communicate between services and components. Highly available, persistent by design, with best-effort one-time delivery, MQ is the most industrial-strength, cloud-native solution for modern application architecture. Supports a rich set of features including push and pull queues, long polling, error queues, alerts and triggers, and more. MQ is a global service that runs on multiple clouds and availability zones. For advanced users with critical messaging needs, queues can automatically point to alternative zones in case of an outage without having to change any code. Runs on top of cloud infrastructure and uses multiple high-availability data centers. MQ scales without the need for you to add and maintain resources yourself. Uses HTTPS/Rest-based APIs for simple and efficient cloud use. Built with MQ standards in mind for maximum flexibility and configuration.Starting Price: $24.99 per month -
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AWS IoT Core
Amazon
AWS IoT Core lets you connect IoT devices to the AWS cloud without the need to provision or manage servers. AWS IoT Core can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely. With AWS IoT Core, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected. AWS IoT Core also makes it easy to use AWS and Amazon services like AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker, Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, Amazon QuickSight, and Alexa Voice Service to build IoT applications that gather, process, analyze and act on data generated by connected devices, without having to manage any infrastructure. AWS IoT Core allows you to connect any number of devices to the cloud and to other devices without requiring you to provision or manage servers. -
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RTI Connext DDS
Real-Time Innovations
RTI provides the software connectivity framework designed for smart machines and real-world systems. RTI Connext DDS enables intelligent architecture by sharing information in real time, making large applications work together as one. RTI is the best in the world at connecting intelligent, distributed systems. These systems improve medical care, make our roads safer, improve energy use, and protect our freedom. Based on the Connext DDS Databus, RTI’s software allows applications to exchange data in real time and provides the non-stop availability and security essential for mission-critical systems. The Connext Databus enables applications to work together as one, integrated system, significantly reducing development, integration and maintenance costs. RTI Connext is the first intelligent connectivity framework designed to control, monitor, secure and optimize demanding distributed systems. -
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Tencent Cloud Message Queue
Tencent
CMQ can efficiently send/receive and push tens of millions of messages and retain an unlimited number of messages. It features an extremely high throughput and can process over 100,000 queries per second (QPS) with one single cluster, fully meeting the messaging needs of your businesses. When each message is returned to the user, CMQ writes three copies of the message data to different physical servers so that when one of the servers fails, the backend data replication mechanism can quickly migrate the data. CMQ supports HTTPS-based secure access and utilizes Tencent Cloud's multi-dimensional security protection to defend against network attacks and protect the privacy of your businesses. Plus, it supports managing master/sub-accounts and collaborator accounts for fine-grained resource access control. -
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Eclipse Mosquitto
Eclipse Foundation
Eclipse Mosquitto is an open source (EPL/EDL licensed) message broker that implements the MQTT protocol versions 5.0, 3.1.1 and 3.1. Mosquitto is lightweight and is suitable for use on all devices from low power single board computers to full servers. The MQTT protocol provides a lightweight method of carrying out messaging using a publish/subscribe model. This makes it suitable for Internet of Things messaging such as with low power sensors or mobile devices such as phones, embedded computers or microcontrollers. The Mosquitto project also provides a C library for implementing MQTT clients, and the very popular mosquitto_pub and mosquitto_sub command line MQTT clients.Starting Price: Free -
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Axual
Axual
Axual is Kafka-as-a-Service for DevOps teams. Empower your team to unlock insights and drive decisions with our intuitive Kafka platform. Axual offers the ultimate solution for enterprises looking to seamlessly integrate data streaming into their core IT infrastructure. Our all-in-one Kafka platform is designed to eliminate the need for extensive technical knowledge or skills, and provides a ready-made solution that delivers all the benefits of event streaming without the hassle. The Axual Platform is a all-in-one solution, designed to help you simplify and enhance the deployment, management, and utilization of real-time data streaming with Apache Kafka. By providing an array of features that cater to the diverse needs of modern enterprises, the Axual Platform enables organizations to harness the full potential of data streaming while minimizing complexity and operational overhead. -
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Anypoint MQ
MuleSoft
With Anypoint MQ, perform advanced asynchronous messaging — such as queueing and pub/sub — with fully hosted and managed cloud message queues and exchanges. As a service of Anypoint Platform™, Anypoint MQ supports environments, business groups, and role-based access control (RBAC) with enterprise-grade functionality. -
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IBM MQ on Cloud
IBM
IBM® MQ on Cloud is the gold standard for enterprise messaging, providing security-rich and reliable messaging on-premises and across multiple clouds. Use IBM MQ on Cloud as a managed offering. IBM will handle upgrades, patches and many of the operational management tasks, allowing you to focus on integrations with your applications. Your company uses a mobile app on the cloud to facilitate e-commerce transactions. IBM MQ on Cloud connects the on-premises stock system with the consumer application to give users real-time information about what products are available. Your company hosts its core IT systems in San Francisco, but packages are processed in a depot in London. IBM MQ on Cloud reliably transmits messages from one location to another. It lets the London office encrypt "send" data about every package that needs to be tracked, and lets the San Francisco office receive and process that information more securely. Both offices can trust that information won’t be lost. -
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Azure Queue Storage
Microsoft
Use Azure Queue Storage to build flexible applications and separate functions for better durability across large workloads. When you design applications for scale, application components can be decoupled, so that they can scale independently. Queue storage gives you asynchronous message queueing for communication between application components, whether they are running in the cloud, on the desktop, on-premises, or on mobile devices. Use Queue Storage to rightsize your service deployment. Applications absorb unexpected traffic bursts, which prevents servers from being overwhelmed by a sudden flood of requests. Monitor queue length to add elasticity to your application, and deploy or hibernate additional worker nodes based on customer demand. -
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Baidu Messaging System
Baidu AI Cloud
Baidu Messaging System (BMS) is a distributed and scalable hosting message queue service with high throughputs. It collects massive data from websites, devices, or applications for real-time analysis, such as user browsing, clicks, and searches. BMS is a hosted service based on Apache Kafka. Kafka is a distributed, multi-partition, and multi-replica messaging service. The producer asynchronously interacts with the consumer through the message queue without waiting for each other. Compared with the traditional messaging service. BMS encapsulates the Kafka cluster details and provides them in the form of a hosted service. You can directly use BMS to integrate with massively distributed applications without the consideration of cluster operations and pay-per-use only. -
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Azure Web PubSub
Microsoft
Azure Web PubSub is a fully managed service that enables developers to build real-time web applications using WebSockets and the publish-subscribe pattern. It supports native and serverless WebSockets, allowing for scalable, bi-directional communication without the need to manage infrastructure. This service is ideal for applications such as chat rooms, live broadcasting, and IoT dashboards. Supports real-time publish-subscribe messaging for web application development through native and serverless WebSocket support. Built-in support for large-scale client connections and highly available architectures, enabling applications to handle numerous simultaneous users. Offers support for a wide variety of client SDKs and programming languages, facilitating seamless integration into existing applications. Provides built-in security features, including Azure Active Directory integration and private endpoints, to help protect data and manage access. -
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NanoMQ
EMQ
Unlock the flexibility of data with a SQL-based rule engine. Integrates with eKuiper to bring stream processing to the edge. Reduce the cost of integrating edge computing applications with event-driven WebHooks. Easy to maintain with EdgeOps-friendly HTTP APIs. NanoMQ is small but mighty. It is fully featured and competes in every perspective despite its tiny size. Task Layer: It is a built-in actor model with thread-level parallelism, which make NanoMQ highly scalable on a modern SMP system. Scale-out easily to engage multiple cores with less CPU usage in the modern SMP system. Highly compatible and portable with any POSIX-based platform. Booting footprint is less than 200Kb in minimum feature set.Starting Price: $ 0.18 per hour -
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VirtualMetric
VirtualMetric
VirtualMetric is a powerful telemetry pipeline solution designed to enhance data collection, processing, and security monitoring across enterprise environments. Its core offering, DataStream, automatically collects and transforms security logs from a wide range of systems such as Windows, Linux, MacOS, and Unix, enriching data for further analysis. By reducing data volume and filtering out non-meaningful logs, VirtualMetric helps businesses lower SIEM ingestion costs, increase operational efficiency, and improve threat detection accuracy. The platform’s scalable architecture, with features like zero data loss and long-term compliance storage, ensures that businesses can maintain high security standards while optimizing performance.Starting Price: Free -
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BigBI
BigBI
BigBI enables data specialists to build their own powerful big data pipelines interactively & efficiently, without any coding! BigBI unleashes the power of Apache Spark enabling: Scalable processing of real Big Data (up to 100X faster) Integration of traditional data (SQL, batch files) with modern data sources including semi-structured (JSON, NoSQL DBs, Elastic, Hadoop), and unstructured (Text, Audio, video), Integration of streaming data, cloud data, AI/ML & graphs -
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Pandio
Pandio
Connecting systems to scale AI initiatives is complex, expensive, and prone to fail. Pandio’s cloud-native managed solution simplifies your data pipelines to harness the power of AI. Access your data from anywhere at any time in order to query, analyze, and drive to insight. Big data analytics without the big cost. Enable data movement seamlessly. Streaming, queuing and pub-sub with unmatched throughput, latency, and durability. Design, train, and deploy machine learning models locally in less than 30 minutes. Accelerate your path to ML and democratize the process across your organization. And it doesn’t require months (or years) of disappointment. Pandio’s AI-driven architecture automatically orchestrates your models, data, and ML tools. Pandio works with your existing stack to accelerate your ML initiatives. Orchestrate your models and messages across your organization.Starting Price: $1.40 per hour -
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Aiven for Apache Kafka
Aiven
Apache Kafka as a fully managed service, with zero vendor lock-in and a full set of capabilities to build your streaming pipeline. Set up fully managed Kafka in less than 10 minutes — directly from our web console or programmatically via our API, CLI, Terraform provider or Kubernetes operator. Easily connect it to your existing tech stack with over 30 connectors, and feel confident in your setup with logs and metrics available out of the box via the service integrations. A fully managed distributed data streaming platform, deployable in the cloud of your choice. Ideal for event-driven applications, near-real-time data transfer and pipelines, stream analytics, and any other case where you need to move a lot of data between applications — and quickly. With Aiven’s hosted and managed-for-you Apache Kafka, you can set up clusters, deploy new nodes, migrate clouds, and upgrade existing versions — in a single mouse click — and monitor them through a simple dashboard.Starting Price: $200 per month -
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Google Cloud's Managed Service for Apache Kafka is a fully managed and scalable service that simplifies the deployment, management, and maintenance of Apache Kafka clusters. It automates operational tasks such as provisioning, patching, and scaling, allowing users to focus on building applications without the complexities of infrastructure management. It ensures high availability and reliability by replicating data across multiple zones, safeguarding against potential failures. It also offers seamless integration with other Google Cloud services, enabling users to create robust data processing pipelines. Security is a priority, with features like encryption at rest and in transit, identity, and access management, and network isolation to protect data. Google Cloud Managed Service for Kafka supports both public and private networking configurations, providing flexibility in connectivity options.Starting Price: $0.09 per hour
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Lightstreamer
Lightstreamer
Lightstreamer is an event broker optimized for the internet, ensuring seamless real-time data delivery across the web. Unlike traditional brokers, Lightstreamer automatically handles proxies, firewalls, disconnections, network congestion, and the general unpredictability of the internet. With its intelligent streaming feature, Lightstreamer guarantees real-time data transmission, always finding a way to deliver your data reliably and efficiently, ensuring robust last-mile messaging. Lightstreamer offers technology that is both mature and cutting-edge, continuously evolving to stay at the forefront of innovation. With a proven track record and years of field-tested performance, Lightstreamer ensures your data is delivered reliably and efficiently. Experience unparalleled reliability in any scenario with Lightstreamer.Starting Price: Free -
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Matillion
Matillion
Cloud-Native ETL Tool. Load and Transform Data To Your Cloud Data Warehouse In Minutes. We reversed the traditional ETL process to create a solution that performs data integration within the cloud itself. Our solution utilizes the near-infinite storage capacity of the cloud—meaning your projects get near-infinite scalability. By working in the cloud, we reduce the complexity involved in moving large amounts of data. Process a billion rows of data in fifteen minutes—and go from launch to live in just five. Modern businesses seeking a competitive advantage must harness their data to gain better business insights. Matillion enables your data journey by extracting, migrating and transforming your data in the cloud allowing you to gain new insights and make better business decisions.
