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Apache Cassandra vs DocumentDB
June 04, 2023 | Author: Michael Stromann
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Apache Cassandra is an open source distributed database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. Cassandra offers robust support for clusters spanning multiple datacenters, with asynchronous masterless replication allowing low latency operations for all clients.
Apache Cassandra and DocumentDB are both popular database management systems, but they differ in their data models, scalability, and ecosystem integrations.
Apache Cassandra is a highly scalable and distributed NoSQL database designed to handle large amounts of data across multiple commodity servers. It follows a wide-column data model and offers high availability and fault tolerance through its masterless architecture. Cassandra is known for its ability to handle massive write and read workloads, making it suitable for applications that require high scalability and low-latency data access. It is widely used in applications such as real-time analytics, IoT, and recommendation systems.
On the other hand, DocumentDB (now known as Amazon DocumentDB) is a fully managed, horizontally scalable document database service offered by Amazon Web Services (AWS). It is compatible with the MongoDB API, which means it supports a flexible JSON-like document model. DocumentDB provides automatic scaling, data durability, and automatic backups, making it a convenient choice for developers who prefer the MongoDB programming model and want the benefits of a managed service.
See also: Top 10 Big Data platforms
Apache Cassandra is a highly scalable and distributed NoSQL database designed to handle large amounts of data across multiple commodity servers. It follows a wide-column data model and offers high availability and fault tolerance through its masterless architecture. Cassandra is known for its ability to handle massive write and read workloads, making it suitable for applications that require high scalability and low-latency data access. It is widely used in applications such as real-time analytics, IoT, and recommendation systems.
On the other hand, DocumentDB (now known as Amazon DocumentDB) is a fully managed, horizontally scalable document database service offered by Amazon Web Services (AWS). It is compatible with the MongoDB API, which means it supports a flexible JSON-like document model. DocumentDB provides automatic scaling, data durability, and automatic backups, making it a convenient choice for developers who prefer the MongoDB programming model and want the benefits of a managed service.
See also: Top 10 Big Data platforms
