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And even if you want to stay in the Postgres ecosystem there's options for you there.


For analytics, use a columnar database.

There are even other AWS Postgres-oriented options (check the pricing first):

ZeroETL from Aurora Postgres to (postgres-compatible) Redshift (Serverless?)


Yup. Even gross abuses of Redshift run fine with appropriate roll ups and caching. At a past job we did it “wrong enough” that it took a while for a more state of the art solution to catch up. This is not to say the abuse of Redshift should have been done, but AWS has been abused a lot and the engineers there have found a lot of optimizations for interesting workloads.

But to pick the wrong DB tool in the first place and bemoan it as “not scalable” is a bit like complaining that S3 made for a poor CDN without looking at how you’re supposed to use it with Cloudfront.


Is ZeroETL not in early stages, still? I heard it replicates everything. No filtering yet on parts of the binlog (tables/columns). But other than that, i like the idea.

(I would like to know, where their ZeroETL originated from, usually AWS picks up ideas somewhere and makes it work for their offerings to cash in. A universal replication tool.)




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