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Apache Pinot

Apache Pinot: A self-hosted OLAP database for embedding low-latency analytics into products. Ranked #8 of 33 in OLAP Software by our editors (8.7/10); pricing: Open source; best for embedded real-time analytics builders.

8.7/10Editor score
Apache Pinot8.7 Visit Apache Pinot

At a glance

  • Editor score
    8.7 / 10
  • Pricing
    Open source
  • Best for
    Embedded real-time analytics builders
  • Paid from
    Free
  • Deployment
    Self_hosted
  • Founded
    2013
  • Facts checked
    20 Sep 2026
Apache Pinot screenshot
  • Where it wins

    • Streams data from Kafka, Pulsar, and Kinesis in real time
    • Combines streaming and batch sources in one table
    • Supports SQL, REST access, joins, upserts, and varied indexes
  • Where it doesn't

    • Self-hosted deployment requires infrastructure ownership
    • No managed cloud service is included
    • Its focus is real-time OLAP rather than general-purpose analytics

Our verdict on Apache Pinot

Apache Pinot is an open-source, distributed OLAP database for user-facing and agent-facing real-time analytics. It is designed for embedded analytics, customer dashboards, metrics APIs, and other high-concurrency analytical applications. Teams can deploy it locally, with Docker, or through Kubernetes. Pinot supports SQL queries and REST API access, making it suitable for applications that need analytical results inside a product rather than a separate reporting environment.

Its ingestion and query model are the main strengths. Real-time sources include Apache Kafka, Apache Pulsar, and AWS Kinesis, while batch ingestion covers Hadoop, Apache Spark, Amazon S3, Azure ADLS, and Google Cloud Storage. Streaming and batch data can be combined in one table. Upserts retain the latest record value at query time, and query-time fact/dimension and fact/fact joins support broader analytical models. A range of pluggable indexes—including timestamp, inverted, StarTree, Bloom filter, text, JSON, and geospatial indexes—gives builders options for different query patterns.

Pinot also includes built-in logical multitenancy and row-level security through broker query rewriting. Java, JDBC, Python, Go, and Trino integrations extend its fit across application and analytics stacks. The trade-off is operational ownership: as a self-hosted product, deployment and infrastructure remain with the adopting team rather than a managed provider. Apache Pinot is a strong choice for teams building embedded, real-time analytical experiences across streaming and batch data. Teams seeking a hosted service or a broader general-purpose analytics platform should consider alternatives.

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

Apache Pinot pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.
See plans on pinot.apache.org

Apache Pinot fact sheet

Free planNot verified
Paid fromFree
DeploymentSelf_hosted
Query languageSql
Real-time ingestionYes
Row-level securityYes
Embedded analyticsYes
Included usersNot verified
Data source coverageStreaming: Kafka, Pulsar, Kinesis; batch: Hadoop, Spark, Amazon S3, Azure ADLS, Google Cloud Storage
DeploymentSelf-hosted
SupportCommunity, Docs
Built forMid-market, Enterprise (editorial estimate)
Integrations13 integrations: Apache Kafka, Apache Pulsar, AWS Kinesis, Hadoop, Apache Spark, Amazon S3 …
PricingOpen source
Websitepinot.apache.org
Facts checked20 Sep 2026

Apache Pinot integrations

Apache Pinot lists 13 integrations on its own site.

  • Apache Kafka
  • Apache Pulsar
  • AWS Kinesis
  • Hadoop
  • Apache Spark
  • Amazon S3
  • Azure ADLS
  • Google Cloud Storage
  • Java
  • JDBC
  • Python
  • Go
  • Trino

Alternatives to Apache Pinot

See all Apache Pinot alternatives →

Apache Pinot vs the competition

Compare Apache Pinot with any tool side by side →

Also Ranked In

Apache Pinot is ranked in 10 of our directories; the 6 strongest besides OLAP Software.

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Featured on iTechGuides

Featured on iTechGuides — Apache Pinot 8.7/10

Apache Pinot is listed in our OLAP Software 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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