Built and operated by the team behind TimescaleDB, Managed Service for TimescaleDB provides a flexible relational time-series database.
Switching to TimescaleDB was an obvious choice. It was extremely easy to get up and running since it is a PostgreSQL extension and it fit right into our existing infrastructure.
Ingest high velocity data and perform fast SQL analysis across massive, high-cardinality datasets.
Purpose-built time-series analytical functions that build on PostgreSQL.
-- What’s the memory consumption for -- each of my containers right now? SELECT time_bucket('10 seconds', time) AS period, container_id, avg(free_mem), min(free_mem) FROM metrics WHERE time > NOW () - interval '10 minutes' GROUP BY period, container_id ORDER BY period DESC, container_id;
Build data-driven apps, services, and systems faster using the programming languages and tools you already know, proven PostgreSQL ecosystem, and pre-built integrations and extensions.