A new addition to the open source Apache Hadoop ecosystem, Apache Kudu completes Hadoop's storage layer to enable fast analytics on fast data.
Currently, a limited-functionality version of Kudu is available as a Beta.
Install the Beta Get the Kudu Quickstart VMStreamlined Architecture
Kudu provides a combination of fast inserts/updates and efficient columnar scans to enable multiple real-time analytic workloads across a single storage layer. As a new complement to HDFS and Apache HBase, Kudu gives architects the flexibility to address a wider variety of use cases without exotic workarounds.
Faster Analytics
Kudu is specifically designed for use cases that require fast analytics on fast (rapidly changing) data. Engineered to take advantage of next-generation hardware and in-memory processing, Kudu lowers query latency significantly for Apache Impala (incubating) and Apache Spark (initially, with other execution engines to come).
Open for Contributions
Founded by long-time contributors to the Hadoop ecosystem, the Kudu project is released under the Apache 2 license and values community participation as an important ingredient in its long-term success. We appreciate all community contributions to date, and are looking forward to seeing more!