Get Postgresql Vs

PostgreSQL can support replication but more advanced features such as automatic failover must be supported by third-party products developed independently of the database. Such an approach is more complex and can work slower and less seamlessly than MongoDB's in-built self-healing capabilities.

At the time of writing, PostgreSQL ranks as the fourth most widely used database management system in the world (ranking behind Oracle, MySQL, and Microsoft SQL Server, in that order).

PostgreSQL is preferred for managing read-write operations, large datasets, and complex queries. But it's not preferred for read-only operations. MySQL offers fewer features than PostgreSQL, but this allows MySQL to stay lighter, more stable, and faster at processing—especially when it comes to read-only queries.

MySQL has improved performance for high-frequency read operations. PostgreSQL has improved performance for high-frequency write operations. MySQL is easier to get started with. It has a wider tool set for non-technical users.

MySQL is generally known to be faster with read-only commands at the cost of concurrency, while PostgreSQL works better with read-write operations, massive datasets, and complicated queries.

Thus, MongoDB is quite useful in cases where you want to store documents within a flexible data field. While PostgreSQL uses the GROUP_BY function to process and run aggregate queries MongoDB typically uses aggregation pipelines to process its queries.

Performance: SQL Server offers better performance for certain applications due to its more traditional structure, while PostgreSQL is known for its performance and can handle large amounts of data. Custom Data Types: PostgreSQL supports custom data types, making it slightly more flexible than SQL Server.