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 logs, messages, feed streams, orders, bills, websites and other online Internet scenarios that process a large amount of data.
Apache Cassandra supports deployment in multiple data centers to ensure high availability and disaster recovery. ApsaraDB for Cassandra allows you to add more data centers and configure multiple replicas for data center disaster recovery, backup, and offline analysis.
ApsaraDB for Cassandra provides flexible data models to easily modify table schemas. It is suitable for startup business that is ever-changing.
Write-intensive, statistical, and analytical operations
ApsaraDB for Cassandra provides optimized write throughput to support the multi-client thread-concurrent write operation peaks and burst peaks. Based on this feature, ApsaraDB for Cassandra is suitable for scenarios that perform more write operations than read operations, such as updating user status, social networking, recommendations and comments, and application statistics.
ApsaraDB for Cassandra supports hundreds of nodes in a cluster to store a large amount of data. In user behavior analysis scenarios that process a large amount of data, ApsaraDB for Cassandra can store user behavior data and constructed user profiles integrated from multiple data sources to provide big data risk control and recommendation services.