Which NoSQL database is designed to handle large amounts of data across many servers?

Which NoSQL database is designed to handle large amounts of data across many servers?

• A. MongoDB
• B. Couchbase
• C. Apache Cassandra
• D. Amazon DynamoDB

Answer: (C)

Apache Cassandra is specifically designed for scalability and high availability, making it well-suited for handling large amounts of data across many servers. It is a distributed NoSQL database that excels in managing huge volumes of data while maintaining performance and reliability. The architecture of Cassandra allows it to scale horizontally, which means that as data grows, more servers can be added to the cluster without downtime, ensuring seamless data distribution and replication across the nodes.

Cassandra's architecture utilizes a masterless design, where each node in the cluster is equal and can handle read and write requests. This not only enhances fault tolerance but also removes the risk of a single point of failure, which is crucial when dealing with expansive datasets. It is optimized for read/write performance and is particularly effective for applications requiring continuous availability, making it a popular choice for large-scale data applications.

In contrast, while other databases on the list are indeed capable of handling significant amounts of data, they might not offer the same level of scalability and high availability in distributed environments as Cassandra does. MongoDB, for example, is known for its flexibility and ease of use, Couchbase combines caching with database capabilities, and Amazon DynamoDB is a managed service that provides scalability but comes with a different architecture focused on serverless execution