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 scenarios

Benefits

High availability

Services are not affected by single point of failures.

Low latency

The 99.9% of network latency is solved within milliseconds.

Elasticity

The computing and storage capabilities can be flexibly scaled as the business grows.

Multi-active data centers

Native Apache Cassandra supports deployment in 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.

Multi-active

Benefits

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 with minimum impacts on applications.

Data-driven services: risk control, recommendation, and IoT

ApsaraDB for Cassandra stores user behavior data and constructed user profiles integrated from multiple data sources in real time to provide big data risk control and recommendation services.

Data-driven services

Benefits

Low storage costs

Uses sparse storage schemes, which are suitable for storing highly compressed user profile data.

High scalability

The computing and storage capabilities can be flexibly scaled as the business grows.

Low latency

The 99.9% of network latency is solved within milliseconds.