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<h1>Apache<span style="vertical-align: super; font-size: 0.5em;">®</span> Druid</h1>
<p class="lead">Druid is a high performance, real-time analytics database that delivers sub-second queries on streaming and batch data at scale and under load.</p>
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<a class="button" href="/downloads.html"><span class="fa fa-download"></span> Download</a>
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<h2>
Overview
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<h5>Sub-second queries at any scale</h5>
<p>
Execute OLAP queries in milliseconds on high-cardinality and high-dimensional data sets with billions to trillions of rows without pre-defining or caching queries in advance.
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<h5>High concurrency at the lowest cost </h5>
<p>
Build real-time analytics applications that supports 100s to 100,000s queries per second at consistent performance with a highly efficient architecture that uses less infrastructure than other databases.
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<h5>Real-time and historical insights</h5>
<p>
Unlock streaming data potential through Druid's native integration with Apache Kafka and Amazon Kinesis as it supports query-on-arrival at millions of events per second, low latency ingestion, and guaranteed consistency.
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<h2>
Key Druid Features
</h2>
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<h5 class="card-title">Interactive Query Engine</h5>
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<p>Druid utilizes scatter/gather for high speed queries with data preloaded into memory or local storage to avoid data movement and network latency</p>
</div>
</div>
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<h5 class="card-title">Tiering & QoS</h5>
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<p>Configurable tiering with quality of service enables the ideal price-performance for mixed workloads, guarantees priority, and avoids resource contention</p>
</div>
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<h5 class="card-title">Optimized Data Format</h5>
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<p>Ingested data is automatically columnarized, time indexed, dictionary encoded, bitmap indexed, and type-aware compressed</p>
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<h5 class="card-title">Elastic Architecture</h5>
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<p>Loosely coupled components for ingestion, queries and orchestration combined with a deep storage layer enable easy & quick scale-up & scale-out</p>
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<h5 class="card-title">True Stream Ingestion</h5>
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<p>A connector-free integration with streaming platforms enables query-on-arrival, high scalability, low latency, and guaranteed consistency</p>
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<h5 class="card-title">Non-stop Reliability</h5>
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<p>Automatic data services including continuous backup, automated recovery, and multi-node replication ensure high availability and durability</p>
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<h2>
Learn more
</h2>
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<h5>Powered By</h5>
<p>
Druid is proven in production at the <a href='/druid-powered'>world's leading companies</a> at massive scale.
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<h5>FAQ</h5>
<p>
Learn about some of the <a href='faq'>most common questions about Druid</a>.
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<h5>Quickstart</h5>
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<a href="/docs/latest/tutorials/quickstart">Get started with Druid</a> in minutes. Load your own data and query it.
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<h5>Get Help</h5>
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Get help from a <a href='/community/'>wide network of community members</a> about using Druid.
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<h5>Podcast</h5>
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Hear from the Druid community on <a href="https://podcasts.apple.com/us/podcast/tales-at-scale/id1655951714">Apple</a>, <a href="https://open.spotify.com/show/6KAKYLJvCVegsFfKvbfDnt">Spotify</a>, and <a href="https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5saWJzeW4uY29tLzQ0ODE3OS9yc3M">Google</a>.
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Jul
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27
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<p>
<a href="https://www.meetup.com/druidio/events/294343938/">
<span class ="title">In-person (Americas)</span><br>
<span class="text-muted">Real-Time Meetup: Druid Roadmap + Success Stories from Conviva & ThousandEyes</span>
</a>
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<a class="btn btn-default btn-xs" href="https://www.meetup.com/topics/apache-druid/">Join a Druid Meetup!</a>
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Featured Content
</h3>
<p>
<a href="https://blog.hellmar-becker.de/2023/04/23/multivalue-dimensions-in-apache-druid-part-5/">
<span class="title">Multi-Value Dimensions in Apache Druid (Part 5)</span><br>
<span class="text-muted">Hellmar Becker</span><br>
<span class="text-muted">Apr 23 2023</span>
</a>
</p>
<p>
<a href="https://blog.hellmar-becker.de/2023/04/08/druid-sneak-peek-timeseries-interpolation/">
<span class="title">Druid Sneak Peek: Timeseries Interpolation</span><br>
<span class="text-muted">Hellmar Becker</span><br>
<span class="text-muted">Apr 8 2023</span>
</a>
</p>
<p>
<a href="https://blog.hellmar-becker.de/2023/03/07/selective-bulk-upserts-in-apache-druid/">
<span class="title">Selective Bulk Upserts in Apache Druid</span><br>
<span class="text-muted">Hellmar Becker</span><br>
<span class="text-muted">Mar 7 2023</span>
</a>
</p>
<p>
<a href="https://imply.io/blog/real-time-analytics-database-uses-partitioning-and-pruning-to-achieve-its-legendary-performance/">
<span class="title">Primary and secondary partitioning</span><br>
<span class="text-muted">Sergio Ferragut</span><br>
<span class="text-muted">Jan 27 2023</span>
</a>
</p>
<p>
<a href="https://devops.com/stream-big-think-bigger-analyze-streaming-data-at-scale/">
<span class="title">Using Apache Druid for analyzing streaming data</span><br>
<span class="text-muted">Julia Brouillette</span><br>
<span class="text-muted">Jan 27 2023</span>
</a>
</p>
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<h3>
Latest releases
</h3>
<p>
<a href="https://github.com/apache/druid/releases/tag/druid-26.0.0">
<span class="title">Apache Druid 26.0.0 Released</span><br>
<span class="text-muted">May 23 2023</span>
</a>
</p>
<p>
<a href="https://github.com/apache/druid/releases/tag/druid-25.0.0">
<span class="title">Apache Druid 25.0.0 Released</span><br>
<span class="text-muted">Jan 4 2023</span>
</a>
</p>
<p>
<a href="https://github.com/apache/druid/releases/tag/druid-24.0.2">
<span class="title">Apache Druid 24.0.2 Released</span><br>
<span class="text-muted">Dec 21 2022</span>
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Copyright © 2020 <a href="https://www.apache.org/" target="_blank">Apache Software Foundation</a>.<br>
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