Benchmark

Aerospike vs. DynamoDB: see the benchmark results

Aerospike provides organizations with a real-time, multi-model database that fits their needs to scale, manage cloud services, and reduce cost.

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What you'll learn

This independent benchmark by McKnight Consulting Group compares Aerospike, DynamoDB, and DynamoDB with DAX across 1 TB, 5 TB, and 10 TB datasets for both 70/30 and 100/0 read/write workloads. The results are unambiguous: Aerospike outperforms on every front, including latency, throughput, and total cost of ownership, at every scale.

Where DynamoDB requires pre-warmed capacity, retry logic, and costly acceleration layers like DAX, Aerospike delivers fast, consistent, and efficient performance by design. It scales linearly, maintains uptime under stress, and keeps costs predictable, whether you're running a billion reads per day or looking to shrink cloud spend without compromising SLAs.

Key highlights

CheckCircleAerospike achieved p99 latencies up to 93% lower than DynamoDB and 91% lower than DynamoDB with DAX, across all data volumes and workloads.

CheckCircleAerospike delivered up to 112x higher throughput than DynamoDB, handling massive transactional loads without degradation, even at 10 TB.

CheckCircleAerospike cut annual infrastructure costs by up to 8.5x vs. DynamoDB and up to 12.5x vs. DynamoDB with DAX, while delivering superior performance.

CheckCircleIn simulated failure tests, Aerospike recovered from node restarts in minutes, never dropping below 600K ops/sec, with performance dipping no more than 11%.

CheckCircleUnlike DynamoDB, Aerospike scales linearly without capacity pre-warming or costly add-ons, keeping latency bounded and behavior predictable as workloads grow.

Stop choosing between uptime and velocity