Cassandra vs Microsoft SQL Server: 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; Microsoft SQL Server: A relational database management system developed by Microsoft. Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
Cassandra and Microsoft SQL Server can be primarily classified as "Databases" tools.
"Distributed", "High performance" and "High availability" are the key factors why developers consider Cassandra; whereas "Reliable and easy to use", "High performance" and "Great with .net" are the primary reasons why Microsoft SQL Server is favored.
Cassandra is an open source tool with 5.27K GitHub stars and 2.35K GitHub forks. Here's a link to Cassandra's open source repository on GitHub.
According to the StackShare community, Microsoft SQL Server has a broader approval, being mentioned in 478 company stacks & 443 developers stacks; compared to Cassandra, which is listed in 342 company stacks and 239 developer stacks.
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