Realtime distributed OLAP datastore
Apache Druid
Realtime analytics database for event data
About Apache Druid
Apache Druid is a realtime analytical database built for data engineers who need to ingest streaming data and serve low-latency slice-and-dice queries. It provides native Kafka and Kinesis ingestion plus rollup, so teams can build user-facing analytics on fresh event streams batch-only pipelines that lag hours behind. 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 Druid 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: realtime analytics, olap, open source
- Official site: druid.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 Druid, it includes Apache Pinot, QuestDB, Timescale, InfluxDB.
More in Data & Analytics
Comparing tools in the Data & Analytics category? These related listings are worth a look: Apache Pinot — Realtime distributed OLAP datastore; QuestDB — Fast time-series database for high-throughput data; Timescale — Time-series database built on PostgreSQL.
Fast time-series database for high-throughput data
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