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class="searchBox_ZlJk"><div class="navbar__search"><span aria-label="expand searchbar" role="button" class="search-icon" tabindex="0"></span><input type="search" id="search_input_react" placeholder="Loading..." aria-label="Search" class="navbar__search-input search-bar" disabled=""></div></div></div></div><div role="presentation" class="navbar-sidebar__backdrop"></div></nav><div id="__docusaurus_skipToContent_fallback" class="main-wrapper mainWrapper_z2l0"><div><main class="druid-masthead"><div class="text-center"><h1>Apache<sup>®</sup> 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><p><a class="button" href="/downloads.html"><span class="fa fa-download"></span> Download</a><a class="button" href="/community/join-slack/?v=2"><span class="fab fa-slack"></span> Join Slack</a><a class="button" href="https://github.com/apache/druid/"><span class="fab 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events per second, low latency ingestion, and guaranteed consistency.</p></div></div><h2>Key Druid Features</h2><div><div class="druid-feature-container"><div class="druid-feature"><h5>Interactive Query Engine</h5><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 class="druid-feature"><h5>Tiering & QoS</h5><p>Configurable tiering with quality of service enables the ideal price-performance for mixed workloads, guarantees priority, and avoids resource contention.</p></div><div class="druid-feature"><h5>Optimized Data Format</h5><p>Ingested data is automatically columnarized, time-indexed, dictionary-encoded, bitmap-indexed, and type-aware compressed.</p></div><div class="druid-feature"><h5>Elastic Architecture</h5><p>Loosely coupled components for ingestion, queries, and orchestration combined with a deep storage layer enable easy & quick scale-up & scale-out.</p></div><div class="druid-feature"><h5>True Stream Ingestion</h5><p>A connector-free integration with streaming platforms enables query-on-arrival, high scalability, low latency, and guaranteed consistency.</p></div><div class="druid-feature"><h5>Non-stop Reliability</h5><p>Automatic data services including continuous backup, automated recovery, and multi-node replication ensure high availability and durability.</p></div><div class="druid-feature"><h5>Schema Auto-Discovery</h5><p>Druid can automatically detect, define, and update column names and data types upon ingestion, providing the ease of schemaless and the performance of strongly typed schemas.</p></div><div class="druid-feature"><h5>Flexible Joins Support</h5><p>Druid supports join operations during data ingestion and at query-time execution, with the fastest query performance when tables are pre-joined during ingestion.</p></div><div class="druid-feature"><h5>SQL Support</h5><p>Developers and analysts can easily use the familiar SQL API for end-to-end data operations across ingestion, transformation, and querying.</p></div></div></div><br><h2>Learn more</h2><div class="features"><div class="feature"><span class="fa fa-power-off fa"></span><h5> Powered By</h5><p>Druid is proven in production at the <a href="/druid-powered">world's leading companies</a> at massive scale.</p></div><div class="feature"><span class="fa fa-info fa"></span><h5> FAQ</h5><p>Learn about some of the <a href="faq">most common questions about Druid</a>.</p></div><div class="feature"><span class="fa fa-flag-checkered fa"></span><h5> Quickstart</h5><p><a href="/docs/latest/tutorials/">Get started with Druid</a> in minutes. Load your own data and query it.</p></div><div class="feature"><span class="fa fa-question-circle fa"></span><h5> Get Help</h5><p>Get help from a <a href="/community/">wide network of community members</a> about using Druid.</p></div><div class="feature"><span class="fa fa-podcast fa"></span><h5> Podcast</h5><p>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>.</p></div></div></div><div class="grid-item"><div class="widget-container"><h3>Upcoming Events</h3><div> </div><a class="button" href="https://www.meetup.com/topics/apache-druid/">Join a Druid Meetup!</a><br></div><div class="widget-container"><h3>Featured Content</h3><div><div><p><a href="https://blog.hellmar-becker.de/2023/11/25/druid-data-cookbook-upserts-in-druid-sql/"><b>Druid Data Cookbook: Upserts in Druid SQL</b></a>Hellmar Becker<br>2023-11-25</p></div><div><p><a href="https://blog.hellmar-becker.de/2023/09/07/new-in-apache-druid-27-querying-deep-storage/"><b>New in Apache Druid 27: Querying Deep Storage</b></a>Hellmar Becker<br>2023-09-07</p></div><div><p><a href="https://blog.hellmar-becker.de/2023/08/29/using-druid-with-minio/"><b>Using Druid with MinIO</b></a>Hellmar Becker<br>2023-08-29</p></div><div><p><a href="https://blog.hellmar-becker.de/2023/06/28/indexes-in-apache-druid/"><b>Indexes in Apache Druid</b></a>Hellmar Becker<br>2023-06-28</p></div><div><p><a href="https://blog.hellmar-becker.de/2023/04/23/multivalue-dimensions-in-apache-druid-part-5/"><b>Multi-Value Dimensions in Apache Druid (Part 5)</b></a>Hellmar Becker<br>2023-04-23</p></div></div></div><div class="widget-container"><h3>Recent releases</h3><div><div><p><a href="https://github.com/apache/druid/releases/tag/druid-29.0.1"><b>29.0.1</b></a>Apr 3 2024</p></div><div><p><a href="https://github.com/apache/druid/releases/tag/druid-28.0.1"><b>28.0.1</b></a>Dec 20 2023</p></div><div><p><a href="https://github.com/apache/druid/releases/tag/druid-27.0.0"><b>27.0.0</b></a>Aug 10 2023</p></div></div></div></div></div></div></div><footer class="footer"><div class="container container-fluid"><div class="footer__bottom text--center"><div class="margin-bottom--sm"><img src="/img/favicon.png" class="themedImage_ToTc themedImage--light_HNdA footer__logo"><img src="/img/favicon.png" class="themedImage_ToTc themedImage--dark_i4oU footer__logo"></div><div class="footer__copyright">Copyright © 2023 Apache Software Foundation. Except where otherwise noted, licensed under CC BY-SA 4.0. Apache Druid, Druid, and the Druid logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.</div></div></div></footer></div> |
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