You can pack a lot of logic into Postgres if you choose to with the use of Postgres functions. And while not always the easiest thing to read and reason about in part because variables were named by position, as of several releases ago there is a better option for naming variables in functions.
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At some scale data in a single table in Postgres will reach limits. For most applications this is never a problem, but if it is there’s a number of options. Table partitioning isn’t necessarily ideal, but it can get the job done.
Greenplum, a massively parallel processing database, is one of many databases that starts with Postgres then builds and extends on it. It’s now fully open source so if you need it you can take a look and give it a spin and possibly even contribute.
Many times it makes sense to have the same validation at your database as you do in some higher level framework, or maybe you want to use the database directly. Here’s a nice example that shows a bit what’s possible with rails counter_cache as an example.
Postgres has a laundry list of features that sets it apart from other databases. In part two of the series check out a long list of awesome functionality including it’s indexing types, CTEs, and much more. If anyone needs to be persuaded to try Postgres this should do it.
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