SE Radio 623: Michael J. Freedman on TimescaleDB

Michael J. Freedman, the Robert E. Kahn
Professor in the Computer Science Department at Princeton
University, as well as the co-founder and CTO of Timescale, spoke
with SE Radio host Gavin Henry about TimescaleDB. They
revisit what time series data means in 2024, the history of
TimescaleDB, how it integrates with PostgreSQL, and they take the
listeners through a complete setup. Freedman discusses the types
of data well-suited for a timeseries database, the types of
sectors that have these requirements, why PostgreSQL is the best,
Pg callbacks, Pg hooks, C programming, Rust, their open source
contributions and projects, data volumes, column-data, indexes,
backups, why it is common to have one table for your timeseries
data, when not to use timescaledb, IoT data formats, Pg indexes,
how Pg works without timescaledb, sharding, and how to manage
your upgrades if not using Timescale Cloud. Brought to you by
IEEE Computer Society and IEEE Software magazine.