How Aerospike and ScyllaDB behave under production stress
Blog post from Aerospike
As data volumes increase and real-world conditions challenge ideal assumptions, many databases experience latency spikes, rising costs, and operational fragility due to cache dependence and non-linear scaling. While ScyllaDB's performance degrades under changing workloads, Aerospike maintains consistently low latency and linear scalability even at a multi-terabyte scale, making it more suitable for long-term user-facing platforms. The Aerospike vs. ScyllaDB benchmark by McKnight Consulting Group highlights that Aerospike's architecture, which does not rely on cache hit rates for performance, ensures predictable behavior regardless of access patterns. Aerospike achieves this through its Hybrid Memory Architecture, which places data on NVMe SSDs while keeping indexes in RAM, resulting in sub-millisecond latency across various scenarios. Meanwhile, ScyllaDB's reliance on internal caching for read performance can lead to significant latency when working sets exceed memory or access patterns shift. Aerospike's predictable performance, linear scalability, and greater resource efficiency make it a compelling choice for systems that require high throughput and low latency under evolving conditions.
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