What is DynamoDB?
Amazon Web Services (AWS) offers Amazon DynamoDB, a managed NoSQL database service. It permits a data store that is both scalable and fault-tolerant, having high availability and predictable performance. On the other hand, DynamoDB uses a key-value and document store model as opposed to wide-column stores in Cassandra. This means the data is stored in the form of key-value pairs where each key uniquely identifies an item of data and the value contains arbitrary information structures which are generally represented in JSON format.
Its flexibility comes from storing various forms of data types like numbers, strings, lists, maps, or even nested ones using this approach. Even more than that, there is no strict schema required for its items because they can have different attributes; thus tables are not predefined. That makes it suitable for applications where data evolves with time or exhibits vast heterogeneity.
Cassandra vs DynamoDB: Top Differences
Selecting the correct database solution counts much in developing an app with high scalability and performance. Most commonly, traditional relational databases are not well-suited to manage huge volumes of data and its diversity which is an attribute of modern applications. NoSQL databases come in place here by providing dynamic schemas and horizontal scaling required for contemporary data management.
A comprehensive standpoint on two popular NoSQL solutions such as Apache Cassandra and Amazon DynamoDB is provided in this article. The core functionality, data models, consistency models, scalability strategies, and management considerations will be covered so that you can make a better choice based on your requirements