Cassandra supports high concurrency and low latency. It is highly available and scales elastically. This makes it ideal for online applications with large amounts of data, such as messaging, feed streams, order queries, and websites.
Online application scenarios
Solution advantages
- High availability: A single point of failure does not affect the service.
- Low latency: Latency is at the millisecond level.
- Elasticity: You can scale out computing and storage capacity as your business grows.
- Multi-active: Cassandra natively supports deployments across multiple data centers (DCs). Applications access Cassandra with the LOCAL_QUORUM consistency level. Cassandra automatically forwards requests to another DC. This improves availability and disaster recovery.
- Disaster recovery: Prevents physical disasters from affecting data and availability.
- Simple implementation: You can use native Cassandra features for data synchronization between DCs. This requires only minimal changes to your application.
- Data-driven business for risk control, recommendations, and IoT: You can store real-time behavioral data from various sources in Cassandra. This data can be used to build user personas, which lets you provide services such as risk control and recommendations.
- Low-cost storage: It uses a sparse storage pattern suitable for storing highly compressed user personas.
- High scalability: Supports flexible, linear scale-out of computing and storage resources.
- Low latency: Latency is at the millisecond level.
该文章对您有帮助吗？