What are the main advantages and disadvantages of Cassandra?
Cassandra is a distributed NoSQL database with the following key advantages and disadvantages:
Advantages:
- High scalability: Cassandra can easily scale out horizontally by adding more nodes to handle increased data traffic.
- High performance: Cassandra’s design and architecture enable it to achieve fast read and write performance, making it particularly well-suited for applications that require a large amount of data read and write operations.
- Strong Consistency: Cassandra offers a strong consistency model to ensure the consistency and accuracy of data.
- Fault-tolerance: Cassandra has high fault-tolerance, ensuring data availability and integrity even in the event of node failure.
- Flexible data model: Cassandra has support for a flexible data model that can store various types of data, including structured and unstructured data.
Drawback:
- Complexity: Configuring and managing Cassandra can be relatively complex, requiring a certain level of expertise and experience.
- Cassandra does not support transactions, making operations on data relatively complex.
- Data modeling limitations: Cassandra’s data model is relatively simple and does not support complex queries or features typically found in relational databases.
- Data Redundancy: In order to ensure data availability and fault tolerance, Cassandra utilizes data redundancy, which results in an increase in storage capacity.
- Scalability and distributed storage are the main focuses in Cassandra’s design, which could impose limitations on query performance.
