{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Postgres FM","title":" Real-time analytics","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/88fc3f64\"></iframe>","width":"100%","height":180,"duration":2042,"description":"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 ","thumbnail_url":"https://img.transistorcdn.com/NFbJlGhGV5mzIU1kM0iZ823A69pjZUNX40LszVO5LKI/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzMyMTQ3LzE3MTA3/OTEzODMtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}