4 ms·
I was thinking about the same use-case, but there are features in InfluxDB (downscaling, retention policies) that are cool when dealing with large amount of dat
by llsf 9y ago
I was thinking about the same use-case, but there are features in InfluxDB (downscaling, retention policies) that are cool when dealing with large amount of data. If Timescale bridges the gap, I would be happy to give a try...
- akulkarni 9y ago(CEO TimescaleDB) We already allow for efficient manual deletion of old data[1] (2000x faster than PostgreSQL)[2] and rollups via standard PG aggregates. Automatic retention policies and downsampling are coming soon. But as one of the commentors above points out, we benefit from the reliability (and broad ecosystem) of PostgreSQL, which has allowed various companies to easily deploy us in production with minimal integration efforts. [1] http://docs.timescale.com/latest/api/data-retention http://docs.timescale.com/latest/api/data-retention [2] https://blog.timescale.com/timescaledb-vs-6a696248104e https://blog.timescale.com/timescaledb-vs-6a696248104e