MongoDB vs SQLite: What are the differences?
MongoDB: 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; SQLite: A software library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
MongoDB and SQLite can be categorized as "Databases" tools.
"Document-oriented storage", "No sql" and "Ease of use" are the key factors why developers consider MongoDB; whereas "Lightweight", "Portable" and "Simple" are the primary reasons why SQLite is favored.
MongoDB is an open source tool with 16.3K GitHub stars and 4.1K GitHub forks. Here's a link to MongoDB's open source repository on GitHub.
Uber Technologies, Lyft, and Codecademy are some of the popular companies that use MongoDB, whereas SQLite is used by Intuit, Coderus, and Infoshare. MongoDB has a broader approval, being mentioned in 2189 company stacks & 2218 developers stacks; compared to SQLite, which is listed in 314 company stacks and 477 developer stacks.
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