Cassandra vs Memcached: What are the differences?
Developers describe Cassandra as "A partitioned row store. Rows are organized into tables with a required primary key". Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL. On the other hand, Memcached is detailed as "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.
Cassandra and Memcached can be primarily classified as "Databases" tools.
"Distributed", "High performance" and "High availability" are the key factors why developers consider Cassandra; whereas "Fast object cache", "High-performance" and "Stable" are the primary reasons why Memcached is favored.
Cassandra and Memcached are both open source tools. Memcached with 8.99K GitHub stars and 2.6K forks on GitHub appears to be more popular than Cassandra with 5.27K GitHub stars and 2.35K GitHub forks.
Facebook, Instagram, and Dropbox are some of the popular companies that use Memcached, whereas Cassandra is used by Uber Technologies, Facebook, and Spotify. Memcached has a broader approval, being mentioned in 755 company stacks & 267 developers stacks; compared to Cassandra, which is listed in 342 company stacks and 239 developer stacks.
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