TL;DR - Apache Druid
- Apache Druid is a real-time analytics database designed for sub-second OLAP queries on streaming data
- It ingests data in real-time and enables instant slice-and-dice analysis of billions of rows
- Free and open-source, with Imply cloud service for managed deployments
Pricing: Free forever
Best for: Individuals & startups
Score: 78/100
Pricing Plans
Most Popular
Open Source
Free
Self-hosted
- Real-time analytics
- OLAP queries
- High performance
- Apache license
About Apache Druid
Druid handles analytics queries at speeds that make traditional databases seem frozen. Slice and dice billions of rows interactively, with sub-second response times even for complex aggregations.
The column-oriented storage and indexing are built specifically for OLAP workloads. Real-time ingestion means you can query data seconds after it arrives. Druid scales horizontally to handle whatever data volume you throw at it.
Companies processing event streams or building analytics dashboards choose Druid when response time matters as much as throughput.
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Apache Druid FAQ
Yes, Druid is open source under Apache 2.0 license. Self-hosting is free. Commercial managed services like Imply provide enterprise support and hosted options.
Druid is a real-time analytics database. Designed for fast OLAP queries on event data. Sub-second queries on billions of rows. Used for dashboards, monitoring, and real-time analytics.
Real-time analytics dashboards, monitoring systems, clickstream analysis, and time-series data. Netflix, Airbnb, and eBay use it for high-performance analytics.
Both are fast analytics databases. ClickHouse is simpler to operate. Druid has better real-time ingestion. ClickHouse for batch analytics; Druid for streaming/real-time use cases.
Druid ingests data from Kafka or Kinesis in real-time. Data is queryable within seconds of arrival. Segment-based architecture separates real-time and historical data.