Solving one of PostgreSQL's biggest weaknesses.

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 Join this channel to get access to perks: https://www.youtube.com/channel/UCWQaM7SpSECp9FELz-cHzuQ/join My socials: Discord: https://discord.com/invite/eMjRTvscyt Twitter: https://twitter.com/dreamsofcode_io My Equipment: Voice over: https://kit.co/dreamsofcode/voiceover Coding: https://kit.co/dreamsofcode/coding 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