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Check out this article highlighting 11 Major Differences between MySQL and Postgres
Here are the major highlights from the article:
Factors | MySQL | Postgres |
---|---|---|
Architecture | It is a relational database management system (RDMS) | It is an object-relational database management system (ORDMS) |
Speed | It is optimized for tables having more records but simpler queries | It is optimized for complex queries |
Performance | It is better suited for smaller applications with simple queries | It is more suited for complex, high-traffic appliactions that require advance features |
Triggers | It only supports row-level triggers | It supports row-level, statement-level and event level triggers |
Security | Includes authentication, encryption, and role-based access control | Has more advanced authentication, access control , RLS & encryption |
Indexes | Most indexes are stored in B-trees and the memory table also supports hash indexes | Supports B-tree, GiST, GIN, Hash, BRIN, and SP-GiST indexes |
Data Types | All data types are supported | With basic data types, custom data types can also be created |
Storage Engines | Supports use of a single storage engine for all tables | Supports the use of multiple storage engines |
Replication | Supports only asynchronous replication & also supports both statement-based and row-based replications | Supports both asynchronous & synchronous replications |
Full-text Search | For searching it makes use of a combination of LIKE and REGEXP operators | For searching it makes use of a vector space model |
Parallel Query Execution | Query is executed in a single thread & then the final result is compiled by the single coordinator to the user | Query is executed in a single thread & the final result is submitted to a single coordinator directly |
To learn more about these differences, checkout the full article here⤵️