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Pravega

Free#22 of 27 in Event Streaming Platforms

Pravega: A self-hosted stream store for teams that need exactly-once delivery and durable reads. Ranked #22 of 27 in Event Streaming Platforms by our editors (7.1/10); pricing: Free plan; best for teams needing open-source exactly-once streams.

7.1/10Editor score
Pravega7.1 Visit Pravega

At a glance

  • Editor score
    7.1 / 10
  • Pricing
    Free plan
  • Best for
    Teams needing open-source exactly-once streams
  • Free plan
    Yes
  • Paid from
    Free
  • Deployment model
    Self-hosted
  • Facts checked
    20 Sep 2026
Pravega screenshot
  • Where it wins

    • Exactly-once semantics with transactional writes
    • Historical and real-time reads with configurable retention
    • Automatic scaling and connectors for analytics systems
  • Where it doesn't

    • Self-hosted deployment requires operational ownership
    • Client support centers on Java, Rust, and Python
    • Integration coverage is narrower than leading platforms

Our verdict on Pravega

Pravega is an open-source distributed storage system for durable, append-only Streams that handle continuous and unbounded data. It is suited to teams building self-hosted event streaming infrastructure, particularly when exactly-once semantics, transactional writes, historical reads, and real-time consumption are central requirements. Reader groups support parallel consumption, while automatic scaling adjusts streams based on ingestion rate.

Deployment is available locally or as a distributed production deployment through manual installation, Docker Swarm, or Kubernetes operators. That range supports different operating models, but Pravega remains a self-hosted product rather than a hosted service. Teams should be prepared to manage deployment and operations around the streaming environment. Retention can be controlled by time, size, or consumption, giving data teams options for balancing active processing with historical access.

Pravega’s ecosystem includes Java, Rust, and Python clients, plus connectors for Apache Flink, Apache Spark, Apache Hadoop, Presto, Boomi, and Apache NiFi. Schema Registry integration adds structure for stream data, and the combination of reader groups, transactions, and exactly-once delivery suits processing pipelines that need consistent results. Choose Pravega if open-source ownership and durable exactly-once streams outweigh the convenience of a managed platform. Teams seeking broader client or integration coverage, or avoiding self-hosted operations, should consider an alternative.

Your product? Our editors can test Pravega in depth and publish a review, labelled as paid · from $149/mo →

Pravega pricing

Plans Free planFree Free to use — no paid tier required for the core job.
See plans on pravega.io

Pravega fact sheet

Free planYes
Paid fromFree
Deployment modelSelf-hosted
Maximum retentionNot verified
Stream processingYes
Schema registryYes
Delivery guaranteeExactly-once
Connectors listedNot verified
Supported client languagesJava, Rust, Python
DeploymentSelf-hosted
PlatformsLinux
SupportCommunity, Docs
Built forMid-market, Enterprise (editorial estimate)
Integrations6 integrations: Apache Flink, Apache Spark, Apache Hadoop, Presto, Boomi, Apache NiFi See all →
PricingFree plan
Websitepravega.io
Facts checked20 Sep 2026

Pravega integrations

Pravega lists 6 integrations on its own site.

  • Apache Flink
  • Apache Spark
  • Apache Hadoop
  • Presto
  • Boomi
  • Apache NiFi

See all Pravega integrations →

Alternatives to Pravega

See all Pravega alternatives →

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Featured on iTechGuides

Featured on iTechGuides — Pravega 7.1/10

Pravega is listed in our Event Streaming Platforms directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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