Cassandra vs MySQL: 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, MySQL is detailed as "The world's most popular open source database". The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
Cassandra and MySQL belong to "Databases" category of the tech stack.
"Distributed", "High performance" and "High availability" are the key factors why developers consider Cassandra; whereas "Sql", "Free" and "Easy" are the primary reasons why MySQL is favored.
Cassandra and MySQL are both open source tools. It seems that Cassandra with 5.27K GitHub stars and 2.35K forks on GitHub has more adoption than MySQL with 3.97K GitHub stars and 1.56K GitHub forks.
According to the StackShare community, MySQL has a broader approval, being mentioned in 2991 company stacks & 3049 developers stacks; compared to Cassandra, which is listed in 342 company stacks and 239 developer stacks.
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