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Apache Druid

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Apache Druid is a real-time OLAP database that delivers sub-second queries on streaming and batch data for analytics at scale.

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Sources

github.com

Verified against the apache/druid repository and the PyPI package.

Apache Druid is a high-performance, real-time OLAP database built for sub-second analytics on event-driven data.

Key Features:

  • Sub-Second Queries - Execute OLAP queries in milliseconds on high-cardinality datasets.
  • Streaming Ingestion - Ingest data from Kafka, Kinesis, and other streams for real-time analysis.
  • Column-Oriented Storage - Compress and index data for fast scans and aggregations.
  • Tiered Storage - Automatically move historical data to cost-effective deep storage.
  • Rich Aggregations - Approximate distinct counts, histograms, and quantiles at query time.

Whether you're analyzing scraping event streams, building real-time monitoring dashboards, or querying large crawl datasets, Apache Druid provides the speed and scale for interactive analytics.

Features:
Open SourceReal-Time StreamingETL PipelineSub-Second QueriesColumnar Storage

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