Best Stream Processing Products in 2025

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

Key Apache Kafka features:

High Throughput Scalability Fault Tolerance Durability

Open Source

RabbitMQ is an open source message broker software.

Key RabbitMQ features:

Reliability Flexibility Advanced Features Ease of Use

Open Source

Amazon Simple Queue Service is a fully managed message queuing service.

Key Amazon SQS features:

Scalability Reliability Flexibility Ease of Use

Open Source

Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Key Amazon Kinesis features:

Real-time data processing Scalability Fully managed service Integration with AWS ecosystem

Apache ActiveMQ is an open source messaging and integration patterns server.

Key Apache ActiveMQ features:

Open Source Wide Protocol Support Java Integration High Availability

Open Source

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Key Apache Flink features:

Real-time Stream Processing Event Time Processing State Management Fault Tolerance

Open Source

IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.

Key IBM MQ features:

Reliability Security Scalability Integrations

ZeroMQ is a high-performance asynchronous messaging library.

Key ZeroMQ features:

High Performance Scalability Cross-Platform Support Ease of Use

Open Source

Cloud Pub/Sub is a flexible, reliable, real-time messaging service for independent applications to publish & subscribe to asynchronous events.

Key Google Cloud Pub/Sub features:

Scalability Global Availability Asynchronous Communication Integration

Open Source

An easy way to perform background processing in .NET and .NET Core applications.

Key Hangfire features:

Ease of Use Reliable Background Processing Dashboard Monitoring Scalability

Open Source

Confluent offers a real-time data platform built around Apache Kafka.

Key Confluent features:

Scalability Real-Time Data Processing Comprehensive Ecosystem Ease of Use

Open Source

With the PI System, OSIsoft customers have reduced costs, opened new revenue streams, extended equipment life, increased production capacity, and more.

Key The PI System features:

Real-time Data Collection High Scalability Integration Capabilities Data Analytics and Reporting

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.

Key Spark Streaming features:

Scalability Integration Fault Tolerance Ease of Use