Developer Tools
Best Stream Processing Software in 2026
For pipelines that handle data as it arrives, compare how stream processing tools connect to sources and manage events over time. Deployment model and supported languages help you consider where workloads can run and what fits your team; SQL processing, event-time windows, and stateful processing describe other listed capabilities.
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Arroyo Arroyo suits teams building stateful streaming pipelines with SQL and those needing Rust extensions.
From $5/mo Free plan Open source Web · macOS · Linux · API9.1 Visit Specs - 02
Apache Beam Beam suits data and software developers building data-processing pipelines on supported back ends, especially when a shared model for batch and streaming is useful.
Free plan Open source Web · Windows · macOS · Linux9.0 Visit Specs - 03 AFL++
AFL++ suits developers and security practitioners fuzzing source-available or binary-only programs, network services or GUI software.
From €1,666.67/mo Free plan Windows · macOS · Linux · Android8.9 Visit Specs - 04
Apache NiFi NiFi suits teams building data pipelines across connected systems, including cybersecurity, observability, event stream, and generative AI workloads.
Free plan Open source Web · Windows · macOS · Linux8.9 Visit Specs - 05 Esper
Esper suits Java and .NET developers embedding event processing into applications that analyze streams and time-based conditions.
Free plan Open source Windows · macOS · Linux · API8.6 Visit Specs - 06
Confluent Cloud It suits teams building streaming or event-driven systems, analytics pipelines, or AI/ML use cases.
From $385/mo Free plan Web · Linux · API8.3 Visit Specs - 07
Apache Spark It suits teams and developers processing batch or streaming data with distributed SQL, machine learning, or supported language APIs.
Free plan Windows · macOS · Linux · API8.2 Visit Specs - 08
Apache Flink Flink suits developers building stateful streaming, batch analytics or ETL systems in self-hosted clusters.
Free plan Linux · API · Self-hosted8.1 Visit Specs - 09 Apache Storm
Apache Storm suits developers and operators building distributed stream computations, including analytics, ETL, and online machine-learning workloads.
Free plan Web · Windows · macOS · Linux8.1 Visit Specs - 10
Materialize Materialize may suit app or AI-agent builders who need SQL views that update as source data changes.
From $0.13/mo Free plan Web · Linux · API · Self-hosted8.0 Visit Specs - 11
RisingWave RisingWave suits teams building SQL-based streaming data pipelines that need PostgreSQL client compatibility and incremental materialized views.
From $0.23/mo Free trial Web · macOS · Linux · API8.0 Visit Specs - 12 Apache Kafka
Kafka suits teams building event-driven pipelines, streaming analytics, integrations, or mission-critical applications that can self-host it.
Free plan API · Self-hosted7.8 Visit Specs - 13
Apache Samza It suits developers building stateful or stateless real-time applications from multiple event sources.
Free plan Linux · API · Self-hosted7.8 Visit Specs - 14 Feldera
Feldera suits teams that need SQL views to update as source data changes and want to work with lakehouse or warehouse systems.
Free plan Web · Windows · macOS · Linux7.8 Visit Specs - 15 Kafka Streams
Kafka Streams suits developers building Java or Scala applications and microservices that process Kafka data.
Free plan Windows · macOS · Linux · Self-hosted7.8 Visit Specs - 16 Timeplus
Timeplus is designed for data engineers and platform teams processing streaming and historical data with streaming SQL.
From $199/mo Free plan Web · Windows · macOS · Linux7.7 Visit Specs - 17
Amazon Managed Service for Apache Flink Web · API7.5 Visit Specs - 18
Apache Heron Linux · Self-hosted7.5 Visit Specs - 19
Hazelcast Platform Hazelcast Platform suits teams building data-intensive, mission-critical AI applications that need stream processing, an in-memory data store, and cluster failover.
Free trial Windows · macOS · Linux · API7.5 Visit Specs - 20 Pathway Live Data Framework
It suits teams building Python or SQL analytics, ETL, or AI pipelines that must combine batch and live data.
Free plan API · Self-hosted7.4 Visit Specs - 21 Quix Streams Free plan Linux · Self-hosted7.3 Visit Specs
- 22 Siddhi Windows · macOS · Linux · API7.3 Visit Specs
- 23 Timely Dataflow API · Self-hosted6.6 Visit Specs
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Azure Stream Analytics Web6.0 Visit Specs - 25 Google Cloud Dataflow Web5.6 Visit Specs
Free-plan availability and the paid-from price provide cost context. Timeplus, Confluent Cloud, and Materialize are among the entries, alongside Apache Storm and Feldera. Check the connector and processing details against your pipeline’s requirements, including the languages and deployment approach you need.
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