![]() Vector DBMS with pgvector extension DB-Engines Ranking measures the popularity of database management systems Trend Chart Score 99.66 Rank #13 Overall #9 Relational DBMS Score 896.88 Rank #3 Overall #3 Relational DBMS Score 638.82 Rank #4 Overall #4 Relational DBMS Website Site of MariaDB Corporation Handling of key/value pairs with hstore module. Microsofts flagship relational DBMS Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL Primary database model Relational DBMS Relational DBMS Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL. Editorial information provided by DB-Engines Name MariaDB X exclude from comparison Microsoft SQL Server X exclude from comparison PostgreSQL X exclude from comparison Description MySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. Please select another system to include it in the comparison. ![]() PostgreSQL System Properties Comparison MariaDB vs. ![]() I prefer Postgres, though I haven't had a chance to use it, as most of the time I'm not choosing the platform.DBMS > MariaDB vs. partitioning, replication, covering indexes, in-memory operation are all really useful for high-volume. I believe you'll find some features of MySQL/Maria scaled with the use by high volume sites like news aggregators Slashdot, & Digg. MySQL/Maria supports running on systems with fewer resources (it's generally smaller), more/better/additional partitioning/sharding methods, more replication strategies (partially thanks to the for-profit wing of MySQL, covering indexes on InnoDB, in-memory operation. I'm not an expert in the area, but I am a bit interested in what sort of errors you experienced trying to use MariaDB.Īs far as feature comparisons, I found a few sources. MariaDB is the literal, not just spiritual, successor to MySQL. These features give you performance, functionality, or development advantages, but further tie your software to the chosen platform.Īfter Oracle bought MySQL, people were understandably nervous about the future of the project. And with long-running projects, you start identifying and consuming the unique features of the tools you are using. Simple and fast and "helpful" is a really compelling argument, and part of why it underscores a lot of long-running projects. Adherents of strict type checking or people charged with running down data inconsistencies will strongly disagree that this is a "feature" at all, though. Automatically correcting common or simple errors was super convenient for small developers in the late 1990s, early 2000s. It also was more permissive about incorrect types and automatic type conversions (still is, I believe). MySQL was missing a lot of functionality, like transactions, but was really simple and blazing fast. Twenty years ago, Postgres was powerful but comparatively heavy.
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