The Best Stream Processing Software in 2026
We researched stream processing software from official vendor websites, including pricing pages, plan tables, and product documentation. Products were ranked on their core real-time processing capabilities, value for money, and verified features for transforming and aggregating continuous event streams.
Our top picks
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Top ranked
9.3/10A managed Flink service for AWS teams building stateful real-time data pipelines.
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Runner-up
Apache Flink#2 of 259.2/10A free, self-hosted engine for complex stateful stream-processing workloads.
Free plan
-
Top-ranked free plan
Kafka Streams#5 of 258.9/10A free, Kafka-native stream-processing library for Java and Scala applications.
Free plan
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
The full ranking 25 tools, best first
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Best forAWS teams wanting managed Flink
A managed Flink service for AWS teams building stateful real-time data pipelines.
- SQL processing
- Event-time windows
- Stateful processing
9.3/10★★★★★Visit AWS -
Best forTeams needing a full-featured open stream engine
A free, self-hosted engine for complex stateful stream-processing workloads.
- SQL processing
- Event-time windows
- Stateful processing
9.2/10★★★★★Visit Apache Flink -
Best forAzure users preferring managed SQL streaming
A strong Azure-native choice for SQL-based, stateful stream processing.
- SQL processing
- Event-time windows
- Stateful processing
9.1/10★★★★★Visit site -
Best forGoogle Cloud teams running managed pipelines
A broad managed service for Apache Beam pipelines, CDC, and cloud data integration.
9.0/10★★★★☆Visit Google Cloud -
Best forKafka-native Java and Scala applications
A free, Kafka-native stream-processing library for Java and Scala applications.
- Event-time windows
- Stateful processing
8.9/10★★★★☆Visit Kafka Streams -
Best forEnterprises needing managed Kafka and streaming
A broad managed Kafka service with connectors, governance, Flink, and enterprise controls.
8.8/10★★★★☆Try Confluent Cloud -
Best forPortable batch and streaming pipelines
A portable framework for teams building batch and streaming pipelines across multiple runners.
8.7/10★★★★☆Visit Apache Beam -
Best forMature teams combining batch and streaming
A mature, broad engine for teams combining batch pipelines with incremental streaming.
8.6/10★★★★☆Visit Apache Spark -
Best forVisual self-hosted dataflows
A visual, self-hosted dataflow system for routing, transforming, and delivering data.
8.5/10★★★★☆Visit Apache NiFi -
Best forTeams needing streaming plus distributed state
A strong fit for teams combining streaming, SQL, state, and distributed storage.
- SQL processing
- Event-time windows
- Stateful processing
8.3/10★★★★☆Visit Hazelcast -
Best forTeams processing Kafka streams directly with SQL
A Kafka-focused SQL engine for continuous queries, joins, windows, and aggregations.
- SQL processing
- Event-time windows
- Stateful processing
8.1/10★★★★☆Visit Confluent -
Best forTeams wanting SQL streams with many connectors
A SQL-first stream processor with materialized views, CDC, and 31 listed connectors.
8.0/10★★★★☆Visit RisingWave -
Best forJava teams using Kafka-centered stream processing
A free, Kafka-centered stream processor for Java and Scala teams building stateful pipelines.
- SQL processing
- Event-time windows
- Stateful processing
7.9/10★★★★☆Visit Apache Samza -
Best forDevelopers using topology-based stream processing
A self-hosted choice for developers building fault-tolerant stream-processing topologies.
- Stateful processing
7.8/10★★★★☆Visit Apache Storm -
Best forTeams extending existing Storm-compatible systems
Storm-compatible, self-hosted stream processing with fault tolerance, but the project is retired.
7.8/10★★★★☆Visit Apache Heron -
Best forTeams needing event patterns and many adapters
A flexible choice for teams building event patterns across many data sources.
- SQL processing
- Event-time windows
- Stateful processing
7.8/10★★★★☆Visit Siddhi -
Best forSQL teams building real-time materialized views
A SQL-first live data layer for continuously updated views and applications.
- SQL processing
- Event-time windows
- Stateful processing
7.7/10★★★★☆Visit Materialize -
Best forTeams needing streaming analytics and dashboards
A SQL-first streaming platform with broad ingestion, dashboards, and hybrid query support.
7.6/10★★★★☆Visit Timeplus -
Best forModern teams wanting SQL and Rust streaming
A Rust-based stream processor for SQL pipelines, event-time logic, and stateful workloads.
- SQL processing
- Event-time windows
- Stateful processing
7.5/10★★★★☆Visit Arroyo -
Best forSQL-first streaming and incremental views
A SQL-first engine for maintaining continuously updated views and pipelines.
- SQL processing
- Event-time windows
- Stateful processing
7.4/10★★★★☆Visit Feldera -
Best forPython teams building flexible live-data pipelines
A flexible framework for teams building stateful real-time pipelines in Python or SQL.
- SQL processing
- Event-time windows
- Stateful processing
7.3/10★★★★☆Visit Pathway -
Best forJava or C# teams using event-processing SQL
A mature, self-hosted choice for Java and C# teams building event-driven applications.
- SQL processing
- Event-time windows
- Stateful processing
7.2/10★★★★☆Visit Esper -
Best forPython teams processing Kafka streams
A focused open-source choice for Python teams building stateful Kafka stream applications.
- Event-time windows
- Stateful processing
6.9/10★★★☆☆Visit Quix Streams -
Best forRust developers building low-level dataflows
A low-level Rust framework for stateful, cyclic, distributed dataflows.
- Stateful processing
6.8/10★★★☆☆Try Timely Dataflow -
Best forSecurity teams fuzzing software targets
A capable software fuzzer, but a poor fit for stream processing workloads.
1.0/10☆☆☆☆☆Visit AFL++
No tools match those filters.
Compare at a glance
| # | Tool | Free plan | Paid from | Deployment model | SQL processing | Stateful processing | Event-time windows | Score |
|---|---|---|---|---|---|---|---|---|
| 1 | Amazon Managed Service for Apache Flink | No | $0.11/unit usage-based | Cloud | Yes | Yes | Yes | 9.3 |
| 2 | Apache Flink | Yes | Free | Self-hosted | Yes | Yes | Yes | 9.2 |
| 3 | Azure Stream Analytics | No | Hybrid | Yes | Yes | Yes | 9.1 | |
| 4 | Google Cloud Dataflow | No | 9.0 | |||||
| 5 | Kafka Streams | Yes | Free | Self-hosted | No | Yes | Yes | 8.9 |
| 6 | Confluent Cloud | Yes | $385/mo | Cloud | 8.8 | |||
| 7 | Apache Beam | Free | 8.7 | |||||
| 8 | Apache Spark | Yes | Free | 8.6 | ||||
| 9 | Apache NiFi | Free | 8.5 | |||||
| 10 | Hazelcast Platform | Yes | Hybrid | Yes | Yes | Yes | 8.3 | |
| 11 | ksqlDB | Yes | Hybrid | Yes | Yes | Yes | 8.1 | |
| 12 | RisingWave | No | $0.23/unit usage-based | Hybrid | 8.0 | |||
| 13 | Apache Samza | Yes | Free | Self-hosted | Yes | Yes | Yes | 7.9 |
| 14 | Apache Storm | Yes | Free | Self-hosted | Yes | 7.8 | ||
| 15 | Apache Heron | Free | 7.8 | |||||
| 16 | Siddhi | Free | Self-hosted | Yes | Yes | Yes | 7.8 | |
| 17 | Materialize | Yes | $1.50/unit usage-based | Hybrid | Yes | Yes | Yes | 7.7 |
| 18 | Timeplus | No | $199/mo | 7.6 | ||||
| 19 | Arroyo | Free | Hybrid | Yes | Yes | Yes | 7.5 | |
| 20 | Feldera | Yes | Hybrid | Yes | Yes | Yes | 7.4 | |
| 21 | Pathway Live Data Framework | Yes | Hybrid | Yes | Yes | Yes | 7.3 | |
| 22 | Esper | Yes | Free | Self-hosted | Yes | Yes | Yes | 7.2 |
| 23 | Quix Streams | Free | Hybrid | No | Yes | Yes | 6.9 | |
| 24 | Timely Dataflow | Free | Self-hosted | Yes | 6.8 | |||
| 25 | AFL++ | Yes | Free | 1.0 |
Head-to-head All 27 comparisons →
- Amazon Managed Service for Apache Flink vs Apache Flink
- Amazon Managed Service for Apache Flink vs Azure Stream Analytics
- Amazon Managed Service for Apache Flink vs Google Cloud Dataflow
- Amazon Managed Service for Apache Flink vs Kafka Streams
- Amazon Managed Service for Apache Flink vs Confluent Cloud
- Amazon Managed Service for Apache Flink vs Apache Beam
- Amazon Managed Service for Apache Flink vs Apache Spark
- Apache Flink vs Azure Stream Analytics
- Apache Flink vs Google Cloud Dataflow
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How we rank stream processing software
Every tool on this page was researched by iTechGuides Editors from its official website — pricing pages, plan tables and product documentation. We rank on how well each one does this category's core job, what the free or entry plan includes, and where it falls short. Where we have enough verified facts, the score out of 10 is a rubric — job fit, value and how much we could verify — shown with its breakdown on every tool's page; a tool we have not verified enough to score yet shows its rank without a number. Scores are re-checked when a product changes its plans. Read the full editorial policy, or submit a tool we missed.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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