Amazon DynamoDB vs Cassandra: What are the differences?
What is Amazon DynamoDB? Fully managed NoSQL database service. All data items are stored on Solid State Drives (SSDs), and are replicated across 3 Availability Zones for high availability and durability. With DynamoDB, you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.
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.
Amazon DynamoDB can be classified as a tool in the "NoSQL Database as a Service" category, while Cassandra is grouped under "Databases".
"Predictable performance and cost" is the primary reason why developers consider Amazon DynamoDB over the competitors, whereas "Distributed" was stated as the key factor in picking Cassandra.
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.
Netflix, Medium, and Lyft are some of the popular companies that use Amazon DynamoDB, whereas Cassandra is used by Uber Technologies, Facebook, and Spotify. Amazon DynamoDB has a broader approval, being mentioned in 444 company stacks & 187 developers stacks; compared to Cassandra, which is listed in 342 company stacks and 240 developer stacks.
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What is Amazon DynamoDB?
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