Seeking Advice on Optimizing TimescaleDB for Time-Series Data

TimescaleDB and PostgreSQL
1

Hey everyone!

I’m diving into TimescaleDB for a project that involves handling a ton of time-series data, and I’m looking for some tips or best practices from those who have experience with it.

Specifically, I am curious about:

  1. Data Modeling: What are some effective strategies for structuring my data to take full advantage of TimescaleDB’s capabilities?
  2. Performance Tuning: Any suggestions on configuration settings or optimizations that could improve query performance?
  3. Common Pitfalls: What are some mistakes to avoid when working with TimescaleDB that could save me time and headaches later on?

I recently came across a few documentaries/articles PostgreSQL + TimescaleDB: 1,000x Faster Queries, 90 % Data Compression, and Much More Generative AI Models, but they left me with more questions than answers.

I appreciate any insights or resources you can share.

Looking forward to hearing from you. :slightly_smiling_face:

Thanks.

2

Welcome @luisaweber,

About data modeling, I can certainly recommend our learning section about different approaches on modeling your data: narrow, or wide tables, all of them has its purpose.

  1. How to Design Your PostgreSQL Database: Two Schema Examples | Timescale
  2. For tuning, please, take a look on this tips: 13 Tips to Improve PostgreSQL Database Insert Performance
  3. I’d recommend you go over our postgres best practices section.
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