OpenTSDB is a distributed, scalable Time Series Database (TSDB) written on top of HBase. OpenTSDB was written to address a common need: store, index and serve metrics collected from computer systems (network gear, operating systems, applications) at a large scale, and make this data easily accessible and graphable. Store and serve massive amounts of time series data without losing granularity. Generate graphs from the GUI, pull from the HTTP API, choose an open source front-end. OpenTSDB consists of a Time Series Daemon (TSD) as well as set of command line utilities. Interaction with OpenTSDB is primarily achieved by running one or more of the TSDs. Each TSD is independent. There is no master, no shared state so you can run as many TSDs as required to handle any load you throw at it. Each TSD uses the open-source database HBase or hosted Google Bigtable service to store and retrieve time-series data.
Features
- Runs on Hadoop and HBase
- Data is stored exactly as you give it
- Write with millisecond precision
- Keep raw data forever
- Scales to millions of writes per second
- Add capacity by adding nodes