What is the usage of Cassandra system?
Cassandra is a highly scalable distributed database system designed for applications that handle large volumes of data and high write loads.
Here are the primary purposes of the Cassandra system:
- Cassandra is capable of handling incredibly large amounts of data, accommodating hundreds of terabytes or even petabytes of data.
- High Availability: Cassandra ensures high availability by automatically replicating data across multiple nodes to prevent single point of failure. If a node fails, the system can continue to operate normally.
- High write performance: Cassandra is designed for scenarios with high write loads, capable of handling a large number of concurrent write requests.
- Distributed System: Cassandra is a distributed database system where data is stored and processed across multiple nodes. This allows it to scale horizontally by adding more nodes to increase data capacity and performance.
- Flexible data model: Cassandra offers a flexible data model that supports unstructured and semi-structured data. It utilizes a data model similar to key-value storage, where each data item is uniquely identified by a primary key.
- Real-time querying: Cassandra allows for real-time queries, enabling quick searches and retrieval of data based on primary keys. It also supports features such as range queries and secondary indexes.
In conclusion, Cassandra systems are primarily used for applications with large amounts of data, high write loads, and high availability requirements, particularly in distributed environments and scenarios that require horizontal scalability.
