Apache Kudu is a columnar storage manager developed for the Hadoop platform. Kudu shares the common technical properties of Hadoop ecosystem applications: Kudu runs on commodity hardware, is horizontally scalable, and supports highly-available operation.
Apache Kudu is a top-level project in the Apache Software Foundation.
Kudu's benefits include:
- Fast processing of OLAP workloads
- Integration with MapReduce, Spark, Flume, and other Hadoop ecosystem components
- Tight integration with Apache Impala, making it a good, mutable alternative to using HDFS with Apache Parquet
- Strong but flexible consistency model, allowing you to choose consistency requirements on a per-request basis, including the option for strict serialized consistenc
- Strong performance for running sequential and random workloads simultaneously
- Easy administration and management through Cloudera Manager
- High availability
Tablet Servers and Master use the Raft consensus algorithm, which ensures availability as long as more replicas are available than unavailable. Reads can be serviced by read-only follower tablets, even in the event of a leader tablet failure.
- Structured data model
- Reporting applications where new data must be immediately available for end users
- Time-series applications that must support queries across large amounts of historic data while simultaneously returning granular queries about an individual entity
- Applications that use predictive models to make real-time decisions, with periodic refreshes of the predictive model based on historical data