Hi everyone! I’m working on a gaming application backend API that currently uses Aurora MySQL and we’re thinking about Aurora Serverless v2 too.
I need help understanding the performance and resource differences between these two database engines:
- Does Aurora PostgreSQL or Aurora MySQL use more memory and CPU when handling similar tasks?
- How do they compare for database speed and response times when dealing with busy applications that have many users making requests at once (like our game API that processes tons of quick database queries)?
My specific questions are:
- Has anyone here tried both Aurora PostgreSQL and Aurora MySQL? Which one uses fewer server resources?
- Did you notice any major speed differences when building REST APIs?
- Were there any surprise problems with either engine (like configuration issues or downtime problems)?
We don’t use any special MySQL features so we could switch to PostgreSQL if it works better or faster for our needs.
switched from MySQL to postgres aurora last year for our mobile game backend. honestly didn’t see a huge difference in resource usage - postgres uses a bit more RAM but nothing crazy. the real win was how much better it handled concurrent writes when we’d hit 500+ players online at once.
We switched from Aurora MySQL to PostgreSQL 8 months ago for our real-time game analytics. Yeah, memory usage went up 20-30%, but the CPU gains made it worth it. Heads up though - PostgreSQL’s vacuum process can spike your CPU during maintenance, which totally caught us off guard at first. The biggest win was how PostgreSQL crushed our burst traffic. MySQL would choke when we hit 2000+ simultaneous connections during peak hours, but PostgreSQL just ate it up without breaking a sweat. Response times stayed rock solid even when we got hammered. One thing that bit us - some queries needed rewrites since PostgreSQL’s way stricter about data types and syntax than MySQL. Bottom line: our 99th percentile response times improved 25% and we ditched those random slowdowns MySQL used to throw at us during heavy concurrency.
I’ve run both for different projects over two years - the resource differences are overblown. Sure, PostgreSQL eats more memory upfront with its buffer management, but MySQL actually climbs higher under sustained load because of query cache behavior. The real game changer? PostgreSQL’s connection pooling efficiency let us drop from 3 Aurora MySQL instances to just 2 PostgreSQL instances handling the same peak traffic. Here’s what nobody tells you: PostgreSQL’s statistics collector can randomly spike your I/O if you’re not watching it. We had weird performance dips until we tuned autovacuum settings. For gaming APIs, PostgreSQL’s prepared statement caching gave us way more consistent response times than MySQL’s unpredictable query execution plans. Migration was smoother than expected, but test your connection handling logic hard - PostgreSQL acts differently under connection pressure.
Been running Aurora PostgreSQL in production for 18 months after switching from regular RDS MySQL. Resource usage is pretty similar - PostgreSQL uses a bit more memory because of its smarter query planner, but CPU usage is about the same under normal loads. PostgreSQL really excels at connection handling and optimizing complex queries. For gaming APIs with tons of concurrent quick queries, PostgreSQL’s MVCC architecture crushes MySQL’s locking for read-heavy workloads. Our read response times improved 15-20% after switching. One heads up - PostgreSQL is pickier about bad queries, so get your indexing right before you migrate. Aurora Serverless v2 with PostgreSQL has been rock solid with barely any cold start problems.
We switched our MMO backend from Aurora MySQL to Postgres 6 months ago. Postgres uses about 25% more RAM, but query times dropped significantly - especially for joins. Watch out for the logs though - they’re way more verbose and filled up our disk until we adjusted the settings. For gaming workloads, the write performance boost made the switch totally worth it.
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