Fast time-series database for high-throughput data
Apache Pinot
Realtime distributed OLAP datastore
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
- Category: Data & Analytics
- Pricing: Free — listed in this directory as a free tool, with no paid plan required to use it.
- Focus areas: olap, realtime, open source
- Official site: pinot.apache.org
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.
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.
Time-series database built on PostgreSQL
Time-series platform for metrics and events
Unified engine for large-scale data analytics
Stream processing framework for data pipelines
Distributed event streaming platform