promscale | unified metric and trace observability backend | Analytics library

promscale is a Go library typically used in Analytics, Prometheus applications. promscale has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

TimescaleDB is a distributed time-series database built on PostgreSQL that scales to over 10 million of metrics per second, supports native compression, handles high cardinality, and offers native time-series capabilities, such as data retention policies, continuous aggregate views, downsampling, data gap-filling and interpolation. TimescaleDB also supports full SQL, a variety of data types (numerics, text, arrays, JSON, booleans), and ACID semantics. Operationally mature capabilities include high-availability, streaming backups, upgrades over time, roles and permissions, and security. TimescaleDB has a large and active user community (tens of millions of downloads, hundreds of thousands of active deployments, Slack channel with 7,000+ members). Users include Comcast, Fujitsu, Schneider Electric, Siemens, Walmart, Warner Music, and thousands of others. Developers and organizations around the world trust TimescaleDB with their time-series data. AppDynamics (now part of Cisco Systems and one of the largest application performance monitoring providers) relies on TimescaleDB as its main metrics database. TimescaleDB is also the preferred (recommended) backend datasource for Zabbix users and is natively supported in Grafana.