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<p class="lead">Apache Druid (incubating) is a high performance real-time analytics database.</p>
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<h2>
Overview
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<h5>A modern cloud-native, stream-native, analytics database</h5>
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Druid is designed for workflows where fast queries and ingest really matter. Druid excels at powering UIs, running operational queries, or handling high concurrency. Consider Druid as an open source alternative to data warehouses for a variety of use cases.
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<h5>Dead easy integration with your existing data pipeline</h5>
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Druid can natively stream data from message buses such as <a href='http://kafka.apache.org/'>Kafka</a>, <a href='https://aws.amazon.com/kinesis/'>Amazon Kinesis</a>, and more, and batch load files from data lakes such as <a href='https://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-hdfs/HdfsUserGuide.html'>HDFS</a>, <a href='https://aws.amazon.com/s3/'>Amazon S3</a>, and more.
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<h5>Up to 100x faster than traditional solutions</h5>
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Druid has been <a href='https://imply.io/post/performance-benchmark-druid-presto-hive'>benchmarked</a> to greatly outpeform legacy solutions for data ingestion and data querying. Druid's novel architecture combines the best of <a href='https://en.wikipedia.org/wiki/Data_warehouse'>data warehouses</a>, <a href='https://en.wikipedia.org/wiki/Time_series_database'>timeseries databases</a>, and <a href='https://en.wikipedia.org/wiki/Search_engine_(computing)'>search systems</a>.
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<h5>Unlock new workflows</h5>
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Druid <a href='/use-cases'>unlocks new types of queries and workflows</a> for clickstream, APM, supply chain, network telemetry, digital marketing, and many other forms of event-driven data. Druid is purpose built for rapid, ad-hoc queries on both real-time and historical data.
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<h5>Deploy in AWS/GCP/Azure, hybrid clouds, Kubernetes, and bare metal</h5>
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Druid can be deployed in any *NIX environment on commodity hardware, both in the cloud and on premise. Deploying Druid is easy: scaling up and down is as simple as adding and removing Druid services.
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Learn more
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<h5>Powered By</h5>
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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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<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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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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Dec
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14
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<a href="https://www.meetup.com/Bangalore-Druid-Meetup-Group/events/266943573/">
<span class ="title">Bangalore Apache Druid Meetup @ WeWork</span><br>
<span class="text-muted">WeWork Prestige Central, 36, Infantry Rd, Bengaluru</span>
</a>
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Jan
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10
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<span class ="title">Delhi Apache Druid Meetup</span><br>
<span class="text-muted">Venue coming soon</span>
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Jan
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28
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<span class ="title">Athens Big Data Meetup</span><br>
<span class="text-muted">Alba Graduate Business School, 6-8 Xenias Str, Athens</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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Featured Content
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<a href="https://imply.io/post/nielsen-marketing-audience-analysis">
<span class="title">How Nielsen Marketing Cloud Uses Druid for Audience and Marketing Performance Analysis</span><br>
<span class="text-muted">Itai Yaffe - </span>
<span class="text-muted">Nielsen</span><br>
<span class="text-muted">Nov 21 2019</span>
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<a href="https://imply.io/post/druid-console-query-view">
<span class="title">Druid query view: An elegant SQL interface for a more civilized age</span><br>
<span class="text-muted">Margaret Brewster - </span>
<span class="text-muted">Imply</span><br>
<span class="text-muted">Oct 16 2019</span>
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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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<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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<p>
<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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Latest releases
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<a href="https://github.com/apache/incubator-druid/releases/tag/druid-0.16.1-incubating">
<span class="title">Apache Druid (incubating) 0.16.1 Released</span><br>
<span class="text-muted">Dec 10 2019</span>
</a>
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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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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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