Cassandra vs Google Cloud Datastore: What are the differences?
What is 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.
What is Google Cloud Datastore? A Fully Managed NoSQL Data Storage Service. Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.
Cassandra can be classified as a tool in the "Databases" category, while Google Cloud Datastore is grouped under "NoSQL Database as a Service".
"Distributed" is the top reason why over 96 developers like Cassandra, while over 4 developers mention "High scalability" as the leading cause for choosing Google Cloud Datastore.
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, Cassandra has a broader approval, being mentioned in 342 company stacks & 240 developers stacks; compared to Google Cloud Datastore, which is listed in 46 company stacks and 16 developer stacks.
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What is Cassandra?
What is Google Cloud Datastore?
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