Newts ![circleci](https://camo.githubusercontent.com/29d297817a1fa74ab2afc1a932edbb47f6a51a2ec4612ef1c8d81f93fc256b15/68747470733a2f2f636972636c6563692e636f6d2f67682f4f70656e4e4d532f6e657774732e7376673f7374796c653d737667)
Newts is a time-series data store based on Apache Cassandra.
Features
- High throughput
- Newts is built upon Apache Cassandra, a write-optimized, fully distributed partioned row store.
- Grouped access
- It's common to collect, store, and retrieve metrics together, (think bytes in and bytes out, or 1, 5, and 15 minute load averages.); Newts allows for similar metrics to be grouped together, for more efficient storage and retrieval.
- Late aggregation
- Most time-series solutions perform in-line aggregations for purposes of later ploting visualizations, even though the ratio of reads to write is staggeringly small. Newts performs plot aggregations at the time of the read.
- Searchable Metadata
- Fully searchable sample resource metadata.
More information can be found in the project Wiki, or the homepage.