Aerospike vs. ScyllaDB: Performance and cost at multi-terabyte scale
As applications grow more complex with deeper dependency chains and unpredictable scale, databases must maintain predictable behavior under changing conditions, not just perform well in ideal scenarios.
To understand how these performance cliffs occur in practice, McKnight Consulting Group conducted an independent benchmarking study, which is available for download. The benchmark compared Aerospike and ScyllaDB's throughput, latency, stability, and scalability at 3TB and 6TB datasets. The results showcase why maintaining predictable performance is especially difficult at larger scales.
Key Aerospike Findings
2.5× to 3× higher sustained throughput across all test scenarios
Sub-millisecond P99 latency for reads and writes, independent of cache effectiveness
Predictable tail latency, with peak latency under 7ms (vs. 200ms+ for alternatives)
Near-linear scaling when doubling datasets from 3 TB to 6 TB
40% lower infrastructure costs using one-third fewer resources
Download the Full Benchmark for complete test results, including infrastructure cost models!
Aerospike vs. ScyllaDB: Performance and cost at multi-terabyte scale
This benchmark compares Aerospike and ScyllaDB running mixed 70 percent read and 30 percent write workloads across three TB and six TB datasets, using both uniform and hotspot access patterns to evaluate performance with and without effective caching.
Using Aerospike Database 8 and its Hybrid Memory Architecture, Aerospike delivered consistently higher throughput, sub-millisecond tail latency, and near-linear scalability, while requiring significantly fewer infrastructure resources than ScyllaDB.
Key findings
2.5× to 3× higher sustained throughput across all test scenarios
Sub-millisecond P99 read and write latency, independent of cache hit rates
Predictable tail latency, with peak latency under seven milliseconds
Near-linear scaling from three TB to six TB datasets
Approximately one-third fewer infrastructure resources required, driving better cost efficiency
These results highlight Aerospike as a strong fit for latency-sensitive, high-throughput workloads where predictable performance and efficient scaling are critical. Download to learn more.
