Set up a Tiger Cloud service and create your first Hypertable

A hypertable is the main abstraction TimescaleDB uses for time-series data. To your application it looks and behaves like a regular PostgreSQL table: you INSERT, SELECT, UPDATE, and DELETE using standard SQL. Under the hood, the database automatically partitions your rows by time into storage units called chunks. Each chunk holds a time range of data (for example, one day or one week). When you run a query, TimescaleDB figures out which chunks are relevant and only touches those, instead of scanning the whole table. That is why hypertables can scale to very large volumes while keeping queries fast.

Create a hypertable from scratch, see why time-based partitioning matters, and finish with queries you can reuse. Use this guide to get started.

Submit a screenshot of and/or a link to your hypertable