This means that in PostgreSQL, you can store data as objects with properties. PostgreSQL, on the other hand, is an object-relational database. There are more options to fine-tune your database performance requirements as you scale. 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. While PostgreSQL and MySQL are conceptually similar, there are many differences to consider before implementing them.
0 Comments
Leave a Reply. |