TimescaleDB is a time-series database that allows for fast and efficient query results by pre-calculating the needed result set in the background. It has features such as continuous aggregates, which remove the need to perform complex operations at query time, but also have limitations that must be considered, such as ample compute resources, avoiding worker contention, and monitoring job schedules. The database can handle large-scale geospatial and temporal queries on large datasets, including those with millions of rows of data. To scale reads and writes, users should leverage in-memory and size chunks to ingest data through memory, and consider best practices for schema design, tuning their database, and handling width limitations. TimescaleDB is actively maintained by a team that listens to user feedback and provides support through various channels, including Office Hours sessions, Slack, and Twitter.