Overcoming PostgreSQL's Biggest Challenge: Efficiently Store Large Time Series Data 📊

Storing large amounts of data, such as time series data, in a single table is often a challenge when it comes to PostgreSQL. There are other databases out there that can be used for timeseries, however, it does mean giving up many of the features that makes postgres so desirable.

Fortunately, there is another option. TimeScaleDB is a postgres extension that is optimized for time series data. In this video, we provide a brief introduction into TimeScale DB and put it to the test.

This video was sponsored by TimeScaleDB. If you're looking to use a time series database for your own needs, then I highly recommend TimeScale, you can get set up with a free trial using the link below.

https://console.cloud.timescale.com/signup/?utm_source=dreams-of-code&utm_medium=youtube&utm_campaign=kol-q3-2023&utm_content=signup

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Video Links:
Github Repo: https://github.com/dreamsofcode-io/timescaledb-taxidata
TimeScaleDB: https://www.timescale.com/?utm_source=dreams-of-code&utm_medium=youtube&utm_campaign=kol-q3-2023&utm_content=homepage

00:00 - Intro
00:56 - Timeseries Data
02:40 - Getting Started
07:33 - HyperTables
12:38 - Continuous Aggregates
16:39 - Results