Memcached vs MongoDB: What are the differences?
What is Memcached? High-performance, distributed memory object caching system. Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
What is 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.
Memcached and MongoDB can be categorized as "Databases" tools.
"Fast object cache", "High-performance" and "Stable" are the key factors why developers consider Memcached; whereas "Document-oriented storage", "No sql" and "Ease of use" are the primary reasons why MongoDB is favored.
Memcached and MongoDB are both open source tools. It seems that MongoDB with 16.3K GitHub stars and 4.1K forks on GitHub has more adoption than Memcached with 8.99K GitHub stars and 2.6K GitHub forks.
Uber Technologies, Lyft, and Codecademy are some of the popular companies that use MongoDB, whereas Memcached is used by Facebook, Instagram, and Dropbox. MongoDB has a broader approval, being mentioned in 2189 company stacks & 2218 developers stacks; compared to Memcached, which is listed in 755 company stacks and 267 developer stacks.
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