![]() Postgres scales better at a very large scale, MySQL has built in clustering (multi-master set ups) built in via Galera for medium scale workloads, but this isn’t a feature available in Aurora or RDS last I checked so it’s irrelevant. However, every engineer I’ve talked to hasn’t been happy with its implementation. Yes, MySQL added support for jsonb in 5.8 (I think there was partial support in 5.7.10? But I may be mistaken). It also doesn’t like json blob objects very much, while Postgres supports them natively with no issues. MySQL is missing some SQL functionality, which can be a huge downside for some types of development work. However since Aurora handles disk management for you, it’s a non issue. Postgres uses tuples with eventual consistency instead (oversimplified but grossly true) so you won’t have an issue with multiple calls locking up the same row and crashing your app.ĭownside to this system is file system management becomes a massive hassle, auto vacuum can’t necessarily keep up without a lot of tweaking, and manual vacuuming locks up tables. ![]() MySQL handling of deadlocks sucks because it has row level locks. You also can’t do partial object replication (individual databases or tables) without having superuser. Postgres user/access management, upgrades, and replication sucks. Workload is expected to be around 240 million or so updates a day. I was able to get some workload information collected.basically the Aurora instance will be used to store data replicated from "on-prem" Db2 servers. Lastly, seems pertinent that MySQL 5.7 was released in 2015 while Postgres 11 is from 2018. " MySQL works best for online transactions, and PostgreSQL works best for append only, analytical processes such as data warehousing. For instance: Īnd while that's MySQL v8 vs Postgres 10 and as I understand it Aurora currently supports MySQL 5.7 or Postgres 11.8 the key thing to me was in the TL DR. I've found some MySQL vs Postgres comparisons, but not specific to Aurora. I'm a Db2 guy, so I'm not particularly up to speed with MySQL or Postgres. Is there any resources comparing pros/cons of Aurora MySQL vs Aurora Postgres to help choose the best fit for a new project? If you're posting a technical query, please include the following details, so that we can help you more efficiently:ĭoes this sidebar need an addition or correction? Tell us here public IP addresses or hostnames, account numbers, email addresses) before posting! ✻ Smokey says: reduce car use to fight climate change! Note: ensure to redact or obfuscate all confidential or identifying information (eg. Database and query tuning is a big topic and not one I'll get into here, especially since I don't generally use MySQL.News, articles and tools covering Amazon Web Services (AWS), including S3, EC2, SQS, RDS, DynamoDB, IAM, CloudFormation, AWS-CDK, Route 53, CloudFront, Lambda, VPC, Cloudwatch, Glacier and more. It's not a "database uses 100% cpu" problem, it's a "I'm not getting enough throughput and seem to be CPU-bound" problem. Set operating system scheduler controls like nice levels to re-prioritize the workload - or get a bigger server that can do all the work you require of it without falling behind.įor the second point you need to look at your database tuning, at your queries, etc.
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