Cassandra vs PostgreSQL: What are the differences?
Cassandra: 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; PostgreSQL: A powerful, open source object-relational database system. PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
Cassandra and PostgreSQL belong to "Databases" category of the tech stack.
"Distributed", "High performance" and "High availability" are the key factors why developers consider Cassandra; whereas "Relational database", "High availability " and "Enterprise class database" are the primary reasons why PostgreSQL is favored.
Cassandra and PostgreSQL are both open source tools. PostgreSQL with 5.44K GitHub stars and 1.8K forks on GitHub appears to be more popular than Cassandra with 5.27K GitHub stars and 2.35K GitHub forks.
According to the StackShare community, PostgreSQL has a broader approval, being mentioned in 2739 company stacks & 2169 developers stacks; compared to Cassandra, which is listed in 342 company stacks and 239 developer stacks.
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