What are the pros and cons of the Cassandra system?
Cassandra is a distributed database management system that has both advantages and disadvantages.
Advantages:
- High scalability: Cassandra can easily scale horizontally by adding more nodes to increase storage capacity and throughput.
- High performance: Cassandra is designed as a highly available and high-performance system, capable of handling large volumes of concurrent read and write operations.
- Robust distributed capabilities: Cassandra employs a distributed architecture in which data is replicated and distributed among multiple nodes, providing fault tolerance and recovery capabilities.
- Flexible data model: Cassandra utilizes a column-based data model that allows for flexible data structures, enabling the dynamic addition and deletion of columns, making it ideal for storing and querying unstructured and semi-structured data.
- Low latency: Cassandra’s data distribution and replication mechanisms allow for low latency reading and writing operations.
Weaknesses:
- Complexity: Configuring and managing Cassandra is relatively complex, requiring a certain level of expertise and experience.
- Restrictions on queries: Cassandra’s query capabilities are relatively limited, lacking support for complex relational queries and aggregation operations.
- Consistency: Cassandra uses eventual consistency model, which may result in data consistency issues in a distributed environment.
- Data Redundancy: In order to ensure data availability and fault tolerance, Cassandra replicates data across multiple nodes, leading to increased data redundancy and storage costs.
- Not suitable for small-scale applications: Cassandra is suitable for large-scale and high-concurrency application scenarios, but may be too complex and unwieldy for small-scale applications.
