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Apache Pinot

Realtime distributed OLAP datastore

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About Apache Pinot

Apache Pinot is a realtime OLAP datastore built for platform and data engineers who need to serve thousands of concurrent analytical queries with low latency. It provides realtime ingestion from Kafka and flexible indexing, so teams can power customer-facing analytics at large scale pre-aggregating every possible query. The workflow keeps setup practical for everyday use, with documentation and integrations that fit existing stacks rather than forcing a complete replacement of tools a team already relies on daily.

Apache Pinot key facts

About the Data & Analytics category

Analytics and BI platforms that turn raw data into clear insights. The Data & Analytics category on Tools Hub currently lists 712 tools. Alongside Apache Pinot, it includes QuestDB, Timescale, InfluxDB, Apache Spark.

FreeData & Analyticsolaprealtimeopen-source

More in Data & Analytics

Comparing tools in the Data & Analytics category? These related listings are worth a look: QuestDB — Fast time-series database for high-throughput data; Timescale — Time-series database built on PostgreSQL; InfluxDB — Time-series platform for metrics and events.

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Time-series database built on PostgreSQL

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Time-series platform for metrics and events

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Unified engine for large-scale data analytics

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Distributed event streaming platform

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