![]() ![]() These methods provide complete ACID compliance, thus making PostgreSQL a highly stable database that can do almost everything - including great extension support for NoSQL, React, and Redis, to name a few. It supports standards-compliant forms of transaction isolation, including serialization, read, committed, and repeatable read. PostgreSQL is an advanced relational database system that has been around since 1997. The documentation for MariaDB roadmaps is freely accessible as well. In addition to being a highly stable drop-in replacement for MySQL, MariaDB supports JSON and hybrid data formats allowing data to be easily stored, retrieved, and manipulated. However, all features are available in the open-source package and not exclusive to the enterprise version. You can either use the open-source community version or request a quote for the enterprise version, which you may want to consider if you’re implementing your software on large-scale platforms or the cloud. While it’s similar to MySQL, it has evolved significantly since its inception.įor starters, MariaDB offers improved performance in most cases and is fully GPL licensed. MariaDB is an open-source, highly scalable database created by the founders of MySQL in 2009 after being acquired by Oracle. ![]() TiDB, MySQL-like database, not as much exposure, but still a good choice.What Is MariaDB? MariaDB logo. Query profiling built in, and without some of the dumber features of Percona (like recursive queries) CockroachDB, Percona-like database, but clustered first. That's generally what I consider scale.Īnd if you're looking for scale like that, I'd recommend either: Maybe you have worker nodes in multiple regions. Maybe it's 10tb but only like 10g is hot at any time in any one place. you have a dataset that you want to take wide. Make the problem simpler or use a non-db so you don't end up with a db as a bottleneck. you have a dataset that's huge (probably over 1tb), and in that case don't use either. you want straight line performance, see above ![]() However, if you want scale, that usually means one of three things: But more than that, you want pt-query-digest, see an example and chew thru those logs all the damn time. If you want ease of use, or you want good but easy straight line performance, I recommend MySQL over MariaDB, mostly because you're probably going to want the InnoDB engine. You probably need a Master's degree to get there, it's complicated. If you want absolute straight line performance, you probably want Percona. Most ppl aren't looking to keep a staff of DBA's around to run them, and they're complicated imo. I don't want to be tied to M$ (or any company really) and Mongo is a different model + replication can be a landmine if you don't know about it.įor that matter, I don't consider cassandra or elasticsearch good answers either (not in the poll). I don't think SQL or Mongo are real answers for relational datasets. I'm not going to vote in the poll, cause I don't think the answer is there. You mentioned cPanel, if you're on cPanel just use MySQL until you grow large enough that you are profiling MySQL and tuning queries and it's not enough - then you need to go wider or faster.
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