Aerospike RF2 self-healing vs. Redis Cluster failover: What happens after the node dies

Aerospike and Redis can both maintain availability after a single node failure when configured with two copies of data, but they differ in how redundancy, failover, and write durability are managed during recovery. A McKnight Consulting Group benchmark using a 90/10 read/update workload found Aerospike delivered lower latency and higher throughput than Redis at multi-terabyte scale, although it tested only healthy clusters and did not measure node failures, failover, or recovery times. Aerospike’s RF2 model integrates replica placement, rebalancing, and restoration of missing copies into cluster operations, while Redis Cluster uses primary/replica roles, promotes replicas after failures, and acknowledges writes asynchronously by default; applications can use Redis WAIT to request replica acknowledgments, but must handle timeouts when replicas are unavailable. Both tested configurations had two copies per record, meaning neither provides the additional protection against a second failure offered by three-copy replication, and availability-zone resilience similarly depends on replica placement and remaining capacity. The comparison concludes that database selection should be based on deployment configuration, durability requirements, topology, storage needs, operational responsibilities, and the specific failures a system must withstand rather than on database names alone.

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