Druid is an open-source analytics data store designed for business intelligence (OLAP) queries on event data. Druid provides low latency (real-time) data ingestion, flexible data exploration, and fast data aggregation. Existing Druid deployments have scaled to trillions of events and petabytes of data. Druid is most commonly used to power user-facing analytic applications.
Druid and the Druid logo are copyright Metamarkets Group Inc.
Druid is a registered trademark of Metamarkets Group Inc.
|Sub-Second Queries||Druid delivers sub-second queries, even when you have terabytes of data and dozens of dimensions.|
|Real-Time Data Ingestion||Druid makes real-time a reality. Query data seconds after it arrives. Native integration with Apache Kafka makes it simple to enable real-time analytics.|
|Integrated with Apache Hive||Build OLAP cubes and run sub-second SQL queries using any Hive-compatible tool.|
|Apache Ambari Integration||Apache Ambari makes deploying, configuring and monitoring Druid a breeze..|
Hortonworks focuses on enabling fast, scalable analytics that seamlessly combines historical and real-time data.
A very common request from many customers is to be able to index text in image files; for example, text in scanned PNG files. In this tutorial we are going to walkthrough how to do this with SOLR. Prerequisites Download the Hortonworks Sandbox Complete the Learning the Ropes of the HDP Sandbox tutorial. Step-by-step guide […]
The Hortonworks Sandbox is delivered as a Dockerized container with the most common ports already opened and forwarded for you. If you would like to open even more ports, check out this tutorial.
Introduction In this tutorial, you will learn about the different features available in the HDF sandbox. HDF stands for Hortonworks DataFlow. HDF was built to make processing data-in-motion an easier task while also directing the data from source to the destination. You will learn about quick links to access these tools that way when you […]
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Introduction R is a popular tool for statistics and data analysis. It has rich visualization capabilities and a large collection of libraries that have been developed and maintained by the R developer community. One drawback to R is that it’s designed to run on in-memory data, which makes it unsuitable for large datasets. Spark is […]
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Pivotal HAWQ provides strong support for low-latency analytic SQL queries, coupled with massively parallel machine learning capabilities on Hortonworks Data Platform (HDP). HAWQ is the World’s leading SQL on Hadoop tool. It provides the richest SQL dialect with an extensive data science library called MADlib at milliseconds query response times. HAWQ enables discovery-based analysis of […]
Apache, Hadoop, Falcon, Atlas, Tez, Sqoop, Flume, Kafka, Pig, Hive, HBase, Accumulo, Storm, Solr, Spark, Ranger, Knox, Ambari, ZooKeeper, Oozie, Metron and the Hadoop elephant and Apache project logos are either registered trademarks or trademarks of the Apache Software Foundation in the United States or other countries.