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| <p class="lead">Apache Druid (incubating) is a high performance real-time analytics database.</p> |
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| Overview |
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| <h5>Analyze event streams</h5> |
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| Druid provides fast analytical queries, at high concurrency, on event-driven data. Druid can instantaneously ingest streaming data and provide sub-second queries to power interactive UIs. |
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| <h5>Utilize reimagined architecture</h5> |
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| Druid is a new type of database that combines ideas from <a href='https://en.wikipedia.org/wiki/Online_analytical_processing'>OLAP/analytic databases</a>, <a href='https://en.wikipedia.org/wiki/Time_series_database'>timeseries databases</a>, and <a href='https://en.wikipedia.org/wiki/Full-text_search'>search systems</a> to enable new use cases in streaming architectures. |
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| <h5>Build event-driven data stacks</h5> |
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| Druid integrates natively with message buses (Kafka, AWS Kinesis, etc) and data lakes (HDFS, AWS S3, etc). Druid works especially well as a query layer for stream hubs and stream processors. |
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| <h5>Unlock new workflows</h5> |
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| Druid is designed for rapid, ad-hoc analytics on both real-time and historical data. Explain trends, explore data, and quickly iterate on queries to answer questions. |
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| <h5>Deploy anywhere</h5> |
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| Druid can be deployed in any *NIX environment on commodity hardware, both in the cloud and on premise. Druid is cloud-native: scaling up and down is as simple as adding and removing processes. |
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| Learn more |
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| Druid is proven in production at the <a href='/druid-powered'>world’s leading companies</a> at massive scale. |
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| Learn about some of the <a href='faq'>most common questions about Druid</a>. |
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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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| Get help from a <a href='/community'>wide network of community members</a> about using Druid. |
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| Upcoming Events |
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| Sep |
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| 23 |
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| <p> |
| <a href="https://www.meetup.com/London-Data-Science-ODSC/events/264154284/"> |
| <span class ="title">Meetup: Apache Druid: the fast, real-time, open source analytics data store</span><br> |
| <span class="text-muted">2019-09-23, from 6:30 - 8:30 PM @ Skills Matter, 10 South Pl · London</span> |
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| Oct |
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| 7 |
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| <a href="https://www.meetup.com/druidio/events/264755005/"> |
| <span class ="title">Bay Area Druid Meetup @ Pinterest</span><br> |
| <span class="text-muted">Monday, October 7, 2019 6:00 PM to 8:30 PM. Pinterest HQ 505 Brannan St. San Francisco</span> |
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| Oct |
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| 22 |
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| <a href="https://aceu19.apachecon.com/"> |
| <span class ="title">ApacheCon Europe, Berlin</span><br> |
| <span class="text-muted">2019-10-22 to 2019-10-25, Kulturbrauerei, Schönhauser Allee 36, 10435 Berlin, Germany</span> |
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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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| <a href="https://medium.com/nmc-techblog/data-retention-and-deletion-in-apache-druid-74ffd12398a8"> |
| <span class="title">Data Retention and Deletion in Apache Druid</span><br> |
| <span class="text-muted">Dana Assa and Itai Yaffe - </span> |
| <span class="text-muted">Nielsen</span><br> |
| <span class="text-muted">Sep 15 2019</span> |
| </a> |
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| <p> |
| <a href="https://medium.com/outbrain-engineering/understanding-spark-streaming-with-kafka-and-druid-25b69e28dcb7"> |
| <span class="title">Understanding Spark Streaming with Kafka and Druid</span><br> |
| <span class="text-muted">Daria Litvinov - </span> |
| <span class="text-muted">Outbrain</span><br> |
| <span class="text-muted">Aug 11 2019</span> |
| </a> |
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| |
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| <a href="https://imply.io/post/druid-at-zscaler-security-log-analytics"> |
| <span class="title">The Zscaler difference - security at cloud scale</span><br> |
| <span class="text-muted">Subramanian Srinivasan and Kevin Fletcher - </span> |
| <span class="text-muted">Zscaler</span><br> |
| <span class="text-muted">Jul 8 2019</span> |
| </a> |
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| <p> |
| <a href="https://blog.twitter.com/engineering/en_us/topics/infrastructure/2019/interactive-analytics-at-mopub.html"> |
| <span class="title">Interactive Analytics at MoPub: Querying Terabytes of Data in Seconds</span><br> |
| <span class="text-muted">Aaron Rolett and Shravana Krishnamurthy - </span> |
| <span class="text-muted">Twitter</span><br> |
| <span class="text-muted">Jul 3 2019</span> |
| </a> |
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| |
| <p> |
| <a href="https://www.fullcontact.com/blog/enrich-api-brings-higher-match-rates-with-multi-field-enrichment-capabilities/"> |
| <span class="title">Enrich API Brings Higher Match Rates with Multi-Field Enrichment Capabilities</span><br> |
| <span class="text-muted">Ken Michie - </span> |
| <span class="text-muted">FullContact</span><br> |
| <span class="text-muted">Jun 27 2019</span> |
| </a> |
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| Latest releases |
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| <a href="https://github.com/apache/incubator-druid/releases/tag/druid-0.16.0-incubating"> |
| <span class="title">Apache Druid (incubating) 0.16.0 Released</span><br> |
| <span class="text-muted">Sep 24 2019</span> |
| </a> |
| </p> |
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| |
| |
| <p> |
| <a href="https://github.com/apache/incubator-druid/releases/tag/druid-0.15.1-incubating"> |
| <span class="title">Apache Druid (incubating) 0.15.1 Released</span><br> |
| <span class="text-muted">Aug 15 2019</span> |
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| <div class="offset-md-2 col-md-8"> |
| Disclaimer: Apache Druid is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. |
| Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. |
| While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. |
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| Copyright © 2019 <a href="https://www.apache.org/" target="_blank">Apache Software Foundation</a>.<br> |
| Except where otherwise noted, licensed under <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/">CC BY-SA 4.0</a>.<br> |
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