TimescaleDB vs Warp 10

TimescaleDB has no write-up on Specifiction yet; its figures are above.

Warp 10 is a free, open-source platform for collecting, storing, and analyzing time series and Geo Time Series data, including sensor data. It runs as a server that accepts HTTP requests for ingestion and WarpScript execution, and supports API, Linux, macOS, web, Windows, and self-hosted deployments. The platform is available in Standalone, Standalone+, and Distributed versions whose main difference is storage-engine implementation. Standalone uses LevelDB and is described as suitable for a few tens of millions of time series and a few hundreds of billions of datapoints; larger needs are directed to Distributed, which uses FoundationDB. Warp 10 includes more than 1,300 time-series functions. Installation can use binaries on your infrastructure or a Docker image containing Warp 10, WarpStudio, and Sensision. Integrations include Jupyter, Zeppelin, Spark, Flink, MQTT, BACNet, NodeRed, NiFi, SQL and NoSQL sources, Grafana, and PowerBI. Ingestion supports HTTP POST, WebSocket, UDP, MQTT, and Kafka. Cryptographic READ and WRITE tokens control access, and metadata encryption is enabled by default.