In this episode of Scaling Postgres, we discuss Microsoft SQL server compatibility, the performance of time series DBs, DB feature casualties and how to clean up BLOBs.

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Links for this episode:

https://www.ongres.com/blog/aws_announces_open_source_postgres_with_sql_server_compatibility/

https://aws.amazon.com/blogs/opensource/want-more-postgresql-you-just-might-like-babelfish/

https://blog.timescale.com/blog/timescaledb-vs-amazon-timestream-6000x-higher-inserts-175x-faster-queries-220x-cheaper/

https://brandur.org/large-database-casualties

https://www.cybertec-postgresql.com/en/blob-cleanup-in-postgresql/

https://www.enterprisedb.com/blog/infographic-5-things-include-your-postgresql-security-checklist

https://www.revenuecat.com/blog/pgbouncer-on-aws-ecs

https://www.percona.com/blog/2020/12/01/how-pgbackrest-is-addressing-slow-postgresql-wal-archiving-using-asynchronous-feature/

https://info.crunchydata.com/blog/replacing-lines-of-code-with-2-little-regexs-in-postgresql

https://b-peng.blogspot.com/2020/11/gpool2-on-k8s.html

https://erthalion.info/2020/11/28/evolution-of-btree-index-am/

https://blog.rustprooflabs.com/2020/11/postgis-trajectory-intro

https://www.highgo.ca/2020/12/04/2020-pg-asia-conference-ended-successfully-at-an-unprecedented-scale/

https://postgresql.life/post/stephane_schildknecht/