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Best Stream Processing Software in 2026

If your software needs to process events as they arrive, compare the listed deployment models, source connectors, and supported languages. Event-time windows and stateful processing describe further aspects to weigh, while SQL processing may be relevant to how you work with stream data. AFL++, Apache Beam, and Apache NiFi are among the entries shown. Free-plan availability and paid-from pricing provide cost context. Consider how each product's stated capabilities fit your data sources, processing requirements, and operating environment.

  1. 1

    Apache Beam

    Free plan Open source APILinuxMac+3

    Apache Beam provides a common programming model for batch and streaming pipelines across several runners. The model is free, though the chosen runner and infrastructure can carry execution costs.

    9.2 Open source Visit site
  2. 2

    Apache NiFi

    Free plan Open source APILinuxMac+3

    NiFi combines visual flow management with provenance tracking, flow controls, and a range of documented integrations.

    9.1 Open source Visit site
  3. 3

    Arroyo

    Free plan Open source APILinuxMac+2

    Arroyo combines SQL-based streaming, recovery features, and a broad connector list in a self-hostable engine. Plan for a distributed cluster for production use.

    9.0 Open source Visit site
  4. 4

    Esper

    Free plan Open source APILinuxMac+2

    Choose Esper if you are building Java or .NET software that needs complex event processing with SQL-derived event queries and an embeddable runtime.

    8.9 Free plan Visit site
  5. 5

    AFL++

    by AFL++
    Free plan AndroidLinuxMac+2

    AFL++ offers multiple instrumentation modes and target types, with free use under AGPL terms. Consider its hardware demands, macOS limitations, and license obligations before choosing a workflow.

    7.7 Free plan Visit site
  6. 6

    Apache Flink

    Free plan APILinuxSelf-hosted

    Apache Flink offers stream and batch processing APIs with operational capabilities for self-hosted deployments.

    7.5 Free plan Visit site
  7. 7

    Apache Spark

    Free plan APILinuxMac+2

    Apache Spark combines distributed analytics, SQL, machine learning and multiple deployment options in a free engine.

    7.4 Free plan Visit site
  8. 8

    Apache Storm

    Free plan APILinuxMac+3

    Apache Storm provides a free, open-source approach to multi-stage stream processing with a range of integrations and deployment modes.

    7.4 Free plan Visit site
  9. 9

    Apache Samza

    Free plan APILinuxSelf-hosted

    Choose Apache Samza if you need a free, self-hosted framework for real-time stream processing with state stores, multiple APIs, and built-in integrations.

    7.3 Free plan Visit site
  10. 10

    Feldera

    Free plan APILinuxMac+3

    Feldera offers a free single-node edition and an enterprise option with multi-node deployments and dedicated support. Check connector status and the deployment requirements for the edition you need.

    7.3 Free plan Visit site
  11. 11

    Apache Kafka

    Free plan APISelf-hosted

    Choose Apache Kafka if you need a free, open-source stream-processing system that supports stateful processing and event-time windows and can be self-hosted.

    7.2 Open source Visit site
  12. 12

    Confluent Cloud

    Free plan APILinuxWeb

    Confluent Cloud combines managed Kafka streaming with connectors, stream processing, and governance options.

    7.2 Free plan · paid from $385/mo · 30-day trial Visit site
  13. 13

    Hazelcast Platform

    Free plan APILinuxMac+2

    Choose Hazelcast Platform for real-time applications that need distributed compute, an in-memory data store, and streaming capabilities in one runtime.

    7.2 Free plan Visit site
  14. 14

    Kafka Streams

    Free plan LinuxMacSelf-hosted+1

    Kafka Streams provides stateful processing tools for applications built around Kafka, with deployment options from one machine to distributed workloads.

    7.2 Free plan Visit site
  15. 15

    Materialize

    Free plan APILinuxSelf-hosted+1

    Materialize combines incremental SQL processing with managed and self-managed deployment options. Review the Community Edition limits and separate Cloud usage charges before choosing a plan.

    7.1 Free plan · paid from $1.50 · 7-day trial Visit site
  16. 16

    Apache Heron

    Free plan LinuxSelf-hosted

    Heron may suit teams that need its specific stream-processing model, Storm compatibility and self-hosted scheduler choices.

    7.0 Open source Visit site
  17. 17

    RisingWave

    Free plan APILinuxMac+2

    RisingWave combines SQL access with incremental streaming views and an exactly-once processing guarantee.

    7.0 From $0.23 · 7-day trial Visit site
  18. 18

    Timeplus

    Free plan APILinuxMac+3

    Timeplus brings streaming SQL, historical data processing, integrations, dashboards, and alerts into a platform with several deployment options.

    6.9 From $199/mo · 14-day trial Visit site
  19. 19

    Pathway Live Data Framework

    Free plan APISelf-hosted

    Choose Pathway if you need Python or SQL pipelines that combine live data processing with analytics or AI tooling.

    6.8 Free plan Visit site
  20. 20

    Quix Streams

    Free plan LinuxSelf-hosted

    Choose Quix Streams if you are building Kafka-based real-time applications in Python and want stateful processing, windowed aggregations or exactly-once guarantees.

    6.7 Open source Visit site
  21. 21

    Siddhi

    Free plan APILinuxMac+2

    Siddhi provides a broad set of event-processing operations, integrations, and deployment options for self-hosted use.

    6.7 Open source Visit site
  22. 22

    Amazon Managed Service for Apache Flink

    Paid APIWeb

    Amazon Managed Service for Apache Flink combines managed operations with broad language and connector support for streaming workloads.

    5.8 From $0.11 Visit site
  23. 23

    ksqlDB

    Free plan Web
    5.6 Free plan Visit site
  24. 24

    Timely Dataflow

    Paid APISelf-hosted

    Timely Dataflow offers a Rust model for streaming computation that spans local threads and cluster execution. Its documentation caveat is worth noting when getting started or adapting examples.

    4.7 Open source Visit site
  25. 25

    Azure Stream Analytics

    Paid Web

    Azure Stream Analytics combines streaming, stateful, and SQL processing with event-time windows.

#1Places #1, #2, #3, #4, #5 on this list can be bought by the makers of the software on it. See the price

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