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

Online scenarios

Highlights

  • High availability: Your business is not affected by single points of failure.
  • Low latency: 99.9% of network latency is in milliseconds.
  • 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 use the LOCAL_QUORUM consistency level to access ApsaraDB for Cassandra, and ApsaraDB for 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 IoT: The user behavior data of multiple data sources is stored in ApsaraDB for Cassandra in real time, and user profiles are created based on the user behavior data. Services such as risk control and recommendation are provided by using the user profiles.
  • Low storage costs: Sparse storage schemes are used. This is suitable for storing highly compressed user profile data.
  • High scalability: Linear scalability is available. The computing and storage capabilities can be flexibly scaled.
  • Low latency: 99.9% of network latency is in milliseconds.