![]() PostgreSQL index types include trees, expression indexes, partial indexes, and hash indexes. MySQL supports B-tree and R-tree indexing that stores hierarchically indexed data. You can index frequently accessed data by configuring the database management system to sort and store it differently from the other data. Indexesĭatabases use indexes to retrieve data faster. MySQL databases do not offer MVCC, but PostgreSQL supports this feature. When you use MVCC, multiple users can read and modify the same data simultaneously without compromising data integrity. Multiversion concurrency control (MVCC) is an advanced database feature that creates duplicate copies of records to safely read and update the same data in parallel. PostgreSQL is fully ACID compliant in all configurations. MySQL offers ACID compliance only when you use it with InnoDB and NDB Cluster storage engines or software modules. For example, if you update a large number of rows but the system fails midway, no row should be modified. ACID complianceĪtomicity, consistency, isolation, and durability (ACID) are database properties that ensure a database remains in a valid state even after unexpected errors. I would expect PostgreSQL to generally win here due to the fact that heap tables allow inserts wherever it is convenient, and fewer indexes maintained would be helpful too.While PostgreSQL and MySQL are conceptually similar, there are many differences to consider before implementing them. The second issue I would expect would be write performance. In this case you are having to utilize other indexes, which means a lot of extra random disk I/O on MySQL. WHERE a.zip_code like '95%' and country = 'us' On the other hand, I would expect the following query to perform better on PostgreSQL than MySQL in a db too big to fit in memory, non-cached data, proper indexes, decent-sized tables, etc: SELECT c.legal_name, a.* Provided that both tables share the same primary key (u.id and p.user_id), there are thousands of rows in both tables, and so forth. It also means you typically need more indexes on MySQL which will slow down writes.įor example, the following query I would expect to perform better on MySQL than PostgreSQL: SELECT u.username, p.* This means that primary key lookups are faster on MySQL but general queries are faster on PostgreSQL. In MySQL all innodb tables are btree indexes with the tuple in the payload. In PostgreSQL all tables are heap tables. As far as a general use case, I would expect PostgreSQL to perform better for a few reasons, but there are cases where I would expect MySQL to perform better. ![]() In general, the answer depends very much on your specific queries. I also got to know that PostgreSQL is better for GIS data. I have done my research and I'm only concerned with join queries & writing data to the database scenario. Given that please don't consider this as another Postgresql vs MySQL question. Since I'm more concerned with join queries & writing data to the database Which is better for me? Postgresql vs MySQL? What approachs should I take to design a database like this? Some of the people say that Mysql better & vice-versa. My problem is some of the links on the stackoverflow is out dated. MySQL vs PostgreSQL: Why MySQL Is Superior To PostgreSQL I have read this article on performace comparison of Postgresql vs MySQL.Īlso I have gone through below links as well. There will be less updates and deletes queries. I'm more concerned with join queries & writing data(inserts) to the database. I have to design a database which will end up with 50M records in a single table(there will be other tables with lesser number of records).
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