(Timescale engineer here) We are an extension on top of Postgres and not a whole new DBMS. That means that we inherit a lot of the reliability / stability of Postgres (critically we do not change the WAL/data on disk format which leads to the fact that even as a young database we don't loose data). What we provide on top of Postgres are significant optimization aimed at time-series data. Postgres is optimized for relational data, and it requires significant work to optimize it for time-series data workloads on both the insert and query side.
TimescaleDB provides automatic, adaptive partitioning of time-series tables to make management of time-series tables both easier and more efficient. We add new time-based analytical functions as well as improve query planning and optimization.
Comments
(Timescale engineer here) We are an extension on top of Postgres and not a whole new DBMS. That means that we inherit a lot of the reliability / stability of Postgres (critically we do not change the WAL/data on disk format which leads to the fact that even as a young database we don't loose data). What we provide on top of Postgres are significant optimization aimed at time-series data. Postgres is optimized for relational data, and it requires significant work to optimize it for time-series data workloads on both the insert and query side.
TimescaleDB provides automatic, adaptive partitioning of time-series tables to make management of time-series tables both easier and more efficient. We add new time-based analytical functions as well as improve query planning and optimization.