What are the main features of Cassandra?
Some key features of Cassandra include:
- Distributed architecture: Cassandra is a distributed database system that can horizontally scale across multiple servers, ensuring high availability and fault tolerance.
- High performance: Cassandra utilizes a distributed hash table data model, allowing for fast read and write operations. It supports high-speed reading and writing on large datasets, as well as handling a high volume of concurrent requests.
- Elastic scalability: Cassandra offers linear scalability, allowing for the addition or removal of nodes as needed without any downtime or data migration.
- Fault tolerance: Cassandra utilizes a replication mechanism to ensure high availability and fault tolerance. Data is replicated across multiple nodes so that it remains accessible even if some nodes fail.
- Flexible data model: The data model in Cassandra is flexible, supporting structured, semi-structured and unstructured data. It utilizes the concept of column families to organize data, with each column family able to contain different columns.
- Support for multiple data centers: Cassandra can replicate data between multiple data centers to improve performance and availability.
- Highly configurable: Cassandra offers a wide range of configuration options that can be adjusted according to different needs, including data replication policies, consistency levels, and compression algorithms.
- Easy management: Cassandra comes with simple management and monitoring tools, making it easy to handle tasks such as cluster management, troubleshooting, and performance optimization.
- Support for multiple query languages: Cassandra primarily supports CQL (Cassandra Query Language), while also providing Thrift and native protocols to support other programming languages.
In general, Cassandra is a high-performance, scalable, reliable, and flexible distributed database system suitable for handling large datasets and high concurrent access scenarios.