Скачать или смотреть Common Database Benchmarking Mistakes & Misconceptions

In this episode, we highlight the most common mistakes and misconceptions in database benchmarking and how to avoid them. We discuss pitfalls such as using unrealistic workloads, focusing only on a single metric, ignoring scalability tests, and misinterpreting benchmark results.

You’ll learn why benchmarks must reflect real-world usage patterns, how to choose the right tools and workloads, and the importance of measuring across throughput, latency, and resource utilization. We also explain how marketing-driven benchmark claims can be misleading, and what developers, DBAs, and architects should look for when evaluating results.

By the end of this session, you’ll be able to spot benchmarking red flags and apply best practices to ensure accurate, meaningful performance testing.

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