DataScaleFail #12
What’s new in the world of database benchmarking? This month’s DataScaleFail dives deep into fresh results and new perspectives from the benchANT lab:
- Database Ranking Reintroduced: explore how our open performance ranking has quietly evolved with new systems, workloads, and insights.
- TimechoDB in the 2025 Ranking: see how TimechoDB performs under real-world time-series workloads using the Time Series Benchmark Suite.
- Benchmarking Beyond Performance: discover why modern databases must prove elasticity and resilience, not just speed.
Support Us! We’re planning on expanding our independent benchmarking ranking and want your input on which database should be included next.
Reintroducing the benchANT Database Ranking
Two years ago, we released the first version of the benchANT database ranking for showing the world how leading databases compare on throughput, latency and cost-performance. Since then much has changed: new systems, updated workloads, broader scale. We take the opportunity of this anniversary to discuss what motivated the first ranking and all ranking that followed it. Then, we dive into six use cases that how the ranking may help users with real world problems. Take the tour.

TimechoDB Takes the Lead in the benchANT Time-series Ranking
The latest update to the benchANT Time-Series Database Ranking puts TimechoDB in the spotlight. Benchmarked with the Time Series Benchmark Suite (TSBS), the results reveal how TimechoDB performs under real-world ingestion and query workloads. Explore how it compares to other time-series databases in terms of throughput, latency, and price-performance.

Benchmarking Beyond Performance: A Resilience Case Study with Aerospike and Cassandra
Traditional benchmarks focus on throughput and latency but real-world systems must prove more: how do they respond to node failures, workload spikes, or scale-out shifts? In our case study, we push past throughput and latency to measure elasticity, resilience, and scalability using Aerospike and Apache Cassandra under failure and scale-out scenarios. Ready to benchmark beyond performance?

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