Compression (Replaced by Hypercore)

Time-series data can be compressed to reduce the amount of storage required, and increase the speed of some queries. This is a cornerstone feature of Timescale. When new data is added to your database, it is in the form of uncompressed rows. Timescale uses a built-in job scheduler to convert this data to the form of compressed columns. This occurs across chunks of Timescale hypertables.

Timescale Cloud charges are based on the amount of storage you use. You don't pay for fixed storage size, and you don't need to worry about scaling disk size as your data grows - we handle it all for you. To reduce your data costs further, combine Hypercore, a data retention policy, and tiered storage.