![Real-time analytics](https://img.transistor.fm/XoJKBsIida2PbzEhDlUv56LV_igZ6S4xTONrCcJ6P7A/rs:fill:800:800:1/q:60/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzMyMTQ3LzE3MTA3/OTEzODMtYXJ0d29y/ay5qcGc.webp)
Real-time analytics
Nikolay and Michael discuss real-time analytics — what it means, what the options are, and some tips if you're trying to implement it within Postgres.
Here are links to a few things we mentioned:
Here are links to a few things we mentioned:
- Loose index scan / skip scan with recursive CTE (wiki)
- Zheap (wiki)
- cstore_fdw (now part of Citus)
- Timescale compression docs
- Hydra founders interview (on Postgres TV)
- Materialised views episode
- pg_ivm
- Timescale continuous aggregates docs
- Clickhouse
- Snowflake
- Replication episode
- Timescale bottomless storage on S3 (blog post)
- pg_partman
- Querying Postgres from DuckDB (blog post)
- Heap blog (filter by “Engineering”)
- Incremental View Maintenance (wiki)
- PostgreSQL HyperLogLog
- Faster counting (by Joe Nelson on the Citus blog)
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What did you like or not like? What should we discuss next time? Let us know by tweeting us on @samokhvalov / @michristofides / @PostgresFM, or by commenting on our Google doc.
If you would like to share this episode, here's a good link (and thank you!)
Postgres FM is brought to you by:
- Nikolay Samokhvalov, founder of Postgres.ai
- Michael Christofides, founder of pgMustard
With special thanks to:
- Jessie Draws for the amazing artwork