IndexR is a distributed, columnar storage system based on HDFS, which focus on fast analyse, both for massive static(historical) data and rapidly ingesting realtime data. IndexR is designed for OLAP.
Fast analyze on large dataset Realtime ingestion with zero delay for query Deep integration with Hadoop ecosystem Hardware efficiency Highly avaliable, scalable, manageable and simple Adapted with popular query engines like Apache Drill, Apache Hive, etc. And now it is open source. Project: https://github.com/shunfei/indexr <https://github.com/shunfei/indexr> Wiki: https://github.com/shunfei/indexr/wiki <https://github.com/shunfei/indexr/wiki> IndexR is original developed by Sunteng Tech. This project started a year ago and now has been deployed to several productions in our company. The whole cluster consumes over 30 billions events each day in realtime from Kafka. The largest table contains over 10 billions rows (after rollup) and rapidly increasing. Most of the statistic/analyze queries’ latency is less than 3 seconds in real world production environment. Currently it is mainly used as Drill and Hive storage plugin. It should be quite easy to master. We hope IndexR be a favor to you and make it better. Regards Flow Wei
