Benchmark
Aerospike vs. MongoDB Atlas: document use case
What you'll learn
When your application handles tens of terabytes of JSON data under real production load, the database you choose determines whether performance holds or degrades. This benchmark puts Aerospike 7.0 and MongoDB Atlas v7.08 head-to-head using 10TB of JSON data in a gaming simulation on Google Cloud, measuring how each platform behaves as pressure increases.
The results show a clear gap in predictability. Aerospike sustains consistent sub-millisecond latency as the dataset grows, delivers nine times the throughput, and achieves a 5.4x better total cost of ownership, giving engineering and infrastructure teams the confidence that performance won't erode at scale.
Key highlights
Aerospike delivered nine times the throughput of MongoDB Atlas under equivalent workloads across a 10TB JSON dataset
Latency held steady at 1ms as database size scaled, demonstrating stable behavior under growing production demand
Aerospike achieved a 5.4x better total cost of ownership, reducing infrastructure spend without trading off performance
The benchmark used a real-world gaming simulation on Google Cloud, reflecting volatile access patterns typical in production environments
Results highlight how bounded latency and consistent throughput separate Aerospike from MongoDB Atlas at scale