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Apache Druid

Realtime analytics database for event data

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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

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.

FreeData & Analyticsrealtime-analyticsolapopen-source

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.

AData & Analytics

Realtime distributed OLAP datastore

Freeolaprealtimeopen-source
QData & Analytics

Fast time-series database for high-throughput data

Freemiumtime-seriesdatabaseopen-source
TData & Analytics

Time-series database built on PostgreSQL

Freemiumtime-seriespostgresqldatabase
IData & Analytics

Time-series platform for metrics and events

Freemiumtime-seriesmetricsmonitoring
AData & Analytics

Unified engine for large-scale data analytics

Freebig-datadata-processingopen-source
AData & Analytics

Stream processing framework for data pipelines

Freestream-processingrealtimeopen-source