MongoDB vs PostGIS: 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, PostGIS is detailed as "Open source spatial database". PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.
MongoDB belongs to "Databases" category of the tech stack, while PostGIS can be primarily classified under "Database Tools".
"Document-oriented storage" is the top reason why over 788 developers like MongoDB, while over 22 developers mention "De facto GIS in SQL" as the leading cause for choosing PostGIS.
MongoDB and PostGIS are both open source tools. It seems that MongoDB with 16.2K GitHub stars and 4.08K forks on GitHub has more adoption than PostGIS with 636 GitHub stars and 242 GitHub forks.
According to the StackShare community, MongoDB has a broader approval, being mentioned in 2175 company stacks & 2143 developers stacks; compared to PostGIS, which is listed in 53 company stacks and 14 developer stacks.
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