If your application is designed with scale in mind then the db system that matches best to your developers is often the best choice. In the long run the scaling of your database typically comes down to design planning. We support Oracle, SQL Server, IBM DB2, MongoDB, Casandra, MySQL, Amazon Aurora, and other database systems. For Postgres there are many addons that can get you varying levels of HA and pooling Postgresql vs MySQL: MySQL is the most popular relational DBMS, while PostgreSQL is the most advanced and functional. For MySQL there is MySQL Cluster NDB which has an open source option or a commercial version. PostgreSQL Please select another system to include it in the comparison. PostgreSQL System Properties Comparison Microsoft SQL Server vs. If you really do need to scale out for high availability of master servers addons/alternate installs cannot be avoided. PostgreSQL Comparison DBMS > Microsoft SQL Server vs. This is by far the most difficult way to scale either product and many times can be avoided through the use of failover servers. My experiences with MySQL's replication have been more than adequate to this point.Īre you talking about multi server configurations that scale to many masters for many writers? This is no longer the case if you're not opposed to using the newest DB software Postgres now also has this built in with the release of 9.0. MySQL has historically been considered the leader in this space since it came with asynchronous replication built in. mysql vs sqlserver vs postgres Do they store indexes differently Ask Question Asked 5 years, 9 months ago Modified 5 years, 9 months ago Viewed 96 times -2 I am currently benchmarking the three DBs for a special use case. PostgreSQL supports advanced data types like user-defined types. In my experience when working on large datasets with lots of writes I've found Postgres has fewer conditions that cause blocking and overall performance was better.Īre you talking about multi server configurations that scale to many slaves for many readers? Concepts like check constraints are not supported. While this question appears to go against the "Avoid asking subjective or argumentative questions" tenet of the site I can't resist trying an answer.Īre talking about a single server configuration that scales to very large datasets?īoth can work in this situation depending on the dataset, but neither will probably perform very well without custom configuration and proper planning.
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