Masterless architecture and low latency means Cassandra will withstand an entire data center outage with no data loss—across public or private clouds and on-premises. 

Cassandra’s support for replicating across multiple datacenters is best-in-class, providing lower latency for your users and the peace of mind of knowing that you can survive regional outages. Failed nodes can be replaced with no downtime. 

To ensure reliability and stability, Cassandra is tested on clusters as large as 1,000 nodes and with hundreds of real world use cases and schemas tested with replay, fuzz, property-based, fault-injection, and performance tests. 

Cassandra consistently outperforms popular NoSQL alternatives in benchmarks and real applications, primarily because of fundamental architectural choices. 

Choose between synchronous or asynchronous replication for each update. Highly available asynchronous operations are optimized with features like Hinted Handoff and Read Repair. 

The audit logging feature for operators tracks the DML, DDL, and DCL activity with minimal impact to normal workload performance, while the fqltool allows the capture and replay of production workloads for analysis. 

Cassandra is suitable for applications that can’t afford to lose data, even when an entire data center goes down. There are no single points of failure. There are no network bottlenecks. Every node in the cluster is identical.

Read and write throughput both increase linearly as new machines are added, with no downtime or interruption to applications.

Cassandra streams data between nodes during scaling operations such as adding a new node or datacenter during peak traffic times. Zero Copy Streaming makes this up to 5x faster without vnodes for a more elastic architecture particularly in cloud and Kubernetes environments.