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Apache Pinot vs Delta Lake

Both stand on analytics data. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Apache Pinot

Free plan APISelf-hostedWeb

Apache Pinot combines multiple ingestion paths with SQL access, client libraries, BI connections, and security controls. Its listed deployment is self-hosted, and row-level security filters are available from version 1.4.0 onward.

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Delta Lake

Free plan APILinuxSelf-hosted

Delta Lake provides transaction, schema and version controls for data lake tables, alongside batch and streaming support. Check compute-engine compatibility and sharing limits for the workflows you need.

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The facts

Apache PinotDelta Lake
Free planYesYes
Open sourceNot publishedNot published
Runs onAPI, Self-hosted, WebAPI, Linux, Self-hosted
Lowest paid planFree or on requestFree or on request
Plans published11
MakerApache PinotNot published
Websitepinot.apache.orgdelta.io
On analytics data#4 of 30#8 of 30

Apache Pinot: what it does well

  • Supports streaming and batch data sources.
  • Combines ingestion sources in one queryable table.
  • Provides SQL, REST API, and client libraries.
  • Includes TLS and access-control options.

What to know first

  • Deployment is self-hosted.
  • Row-level security filters require version 1.4.0 or later.

Delta Lake: what it does well

  • Serializable ACID transactions protect data consistency.
  • Time travel supports table-level rollback.
  • Batch and streaming workloads have exactly-once ingestion semantics.
  • APIs support merge, update and delete operations.
  • Independent project governed through Linux Foundation Projects.

What to know first

  • Requires a bring-your-own storage backend.
  • Releases are compatible with specified Apache Spark versions.
  • ClickHouse integration is read-only for existing Delta tables in Amazon S3.
  • Writing to shared tables is not supported by Delta Sharing.

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