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: Loose index scan / skip scan with recursive CTE (wiki)Zheap (wiki)cstore_fdw (now part of Citus)Timescale compression docsHydra founders interview (on Postgres TV)Materialised views episode pg_ivmTimescale continuous aggregates docsClickhouseSnowflakeReplication episodeTimescale bottomless storage on S3 (blog post)pg_partmanQuerying 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)------------------------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.aiMichael Christofides, founder of pgMustardWith special thanks to:Jessie Draws for the amazing artwork