ApsaraDB for Cassandra supports access requests that require high concurrency and low latency, and provides high availability and elastic scaling features. ApsaraDB for Cassandra is applicable to scenarios such as messages, feed streams, orders queries, websites and other online Internet scenarios that process a large amount of data.

Online application scenarios

Solution highlights

  • High availability: Your business is not affected by single point of failure.
  • Low latency: 99.9% of network latency is in the millisecond level.
  • Elasticity: The computing and storage capabilities can be flexibly scaled as your business grows.
  • Multi-active data centers: Native Apache Cassandra can be deployed across multiple data centers. Applications adopt the LOCAL_QUORUM consistency level to access Cassandra, and Cassandra automatically forwards the requests to another data center. This provides better availability and disaster recovery capabilities.
  • Disaster recovery: Data and service availability are not affected by physical damage.
  • Simple implementation: Data synchronization between data centers is implemented by native Cassandra mechanisms. Few changes are made for applications.
  • Data-Driven services - risk control, recommendation, and Internet of things (IoT): User behavioral data of multiple data sources is stored in ApsaraDB for Cassandra in real time, and user personas are constructed by using the user behavioral data. Services such as big data risk control, and recommendation are provided by using the user personas.
  • Low storage costs: Sparse storage schemes are used. This is suitable for storing highly compressed user persona data.
  • High scalability: The linear scalability is available. The computing and storage capabilities can be flexibly scaled.
  • Low latency: 99.9% of network latency is in the millisecond level.