Newts is built upon Apache Cassandra, a write-optimized, linearly scalable distributed database; Easily grow storage or throughput by simply adding new nodes to the cluster.
It's common to collect, store, and retrieve groups of similar or related metrics, (think bytes in and bytes out, or 1, 5, and 15 minute load averages); Newts allows you to group metrics for more efficient storage and retrieval.
Tag resources with arbitrary metadata, and easily locate them later using Lucene-compatible search queries.
Many time-series solutions perform in-line, or batch computed aggregations of the entire dataset, even when the ratio of reads to writes is staggeringly small. Newts removes aggregation as a bottleneck to storage, and eliminates the wasted computation caused by unused aggregate values.