MongoDB vs PostgreSQL: What are the differences?
Developers describe MongoDB as "The database for giant ideas". MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding. On the other hand, PostgreSQL is detailed as "A powerful, open source object-relational database system". PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB and PostgreSQL can be categorized as "Databases" tools.
"Document-oriented storage", "No sql" and "Ease of use" are the key factors why developers consider MongoDB; whereas "Relational database", "High availability " and "Enterprise class database" are the primary reasons why PostgreSQL is favored.
MongoDB and PostgreSQL are both open source tools. It seems that MongoDB with 16.3K GitHub stars and 4.1K forks on GitHub has more adoption than PostgreSQL with 5.44K GitHub stars and 1.8K GitHub forks.
Uber Technologies, Spotify, and Netflix are some of the popular companies that use PostgreSQL, whereas MongoDB is used by Uber Technologies, Lyft, and Codecademy. PostgreSQL has a broader approval, being mentioned in 2739 company stacks & 2169 developers stacks; compared to MongoDB, which is listed in 2189 company stacks and 2218 developer stacks.