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Apache Storm
What it is
Apache Storm is a free, distributed system for reliably processing unbounded data streams in real time. It supports realtime analytics, online machine learning, continuous computation, distributed RPC and ETL. Developers build multi-stage computations using spouts, bolts and topologies. The project describes Storm as scalable and fault-tolerant, and reports a benchmark above one million tuples per second per node. Integrations include Apache Kafka, HDFS, JDBC databases, JMS and Redis. Local mode supports in-process development; remote mode submits topologies to a cluster. Storm is self-hosted and available under the Apache License, Version 2.0. The current release is 3.1.0, with source and binary distributions, Maven Central availability and an official Docker image. Security options include pluggable Kerberos/SASL authentication and SimpleACLAuthorizer authorization, both disabled by default. TLS supports Thrift RPC and worker-to-worker messaging through mutual TLS. Release files include OpenPGP signatures and SHA-512 checksums.
For and against
For
- Supports realtime analytics, machine learning and ETL.
- Integrates with Kafka, HDFS, JDBC, JMS and Redis.
- Offers local development and remote cluster modes.
- Free under Apache License 2.0.
- Release files include signatures and checksums.
Against
- Authentication and authorization are disabled by default.
- Deployment model is self-hosted.
The verdict
Apache Storm provides a stream-processing framework with multiple integrations and deployment modes. Teams should account for its self-hosted model and configure the listed security options as needed.
Who it suits
Apache Storm is for developers and teams building self-hosted systems that process ongoing data streams. Its local and remote modes support both in-process development and cluster deployment.
Plans and prices
Apache Storm
Free and open source · Apache License 2.0
Read 1 Oct 2026 · storm.apache.org
On the record
- Current release
- The current Apache Storm release is 3.1.0, with source and binary distributions available.storm.apache.org · read 1 Oct 2026
- Deployment
- Storm provides local mode for in-process development and remote mode for submitting topologies to a cluster.storm.apache.org · read 1 Oct 2026
- Distribution
- Apache Storm is available through Maven Central and as an official Docker image on Docker Hub.storm.apache.org · read 1 Oct 2026
- Encryption
- Storm supports TLS for Thrift RPC and Netty worker-to-worker messaging through mutual TLS.storm.apache.org · read 1 Oct 2026
- Integrations
- Out-of-the-box integrations include Apache Kafka, HDFS, JDBC databases, JMS, and Redis.storm.apache.org · read 1 Oct 2026
- License
- Apache Storm is licensed under the Apache License, Version 2.0.storm.apache.org · read 1 Oct 2026
- Performance
- The project says a benchmark processed over one million tuples per second per node.storm.apache.org · read 1 Oct 2026
- Programming model
- Storm uses spouts, bolts, and topologies to build arbitrarily complex multi-stage stream computations.storm.apache.org · read 1 Oct 2026
- Purpose
- Apache Storm is a distributed realtime computation system for reliably processing unbounded data streams.storm.apache.org · read 1 Oct 2026
- Release integrity
- Storm publishes OpenPGP signatures and SHA-512 checksums for every release file.storm.apache.org · read 1 Oct 2026
- Reliability
- Storm is designed to be scalable, fault-tolerant, and to guarantee data processing.storm.apache.org · read 1 Oct 2026
- Security
- Storm supports pluggable Kerberos/SASL authentication and SimpleACLAuthorizer authorization, both disabled by default.storm.apache.org · read 1 Oct 2026
- Support
- Users can get help through the user mailing list at [email protected].storm.apache.org · read 1 Oct 2026
- Use cases
- Storm supports realtime analytics, online machine learning, continuous computation, distributed RPC, and ETL.storm.apache.org · read 1 Oct 2026
