Category: Benchmarks
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MariaDB Foundation: Exploring TidesDB Performance with TAF
TidesDB now exists inside MariaDB as a pluggable storage engine.
With the TideSQL plugin available, anyone can load TidesDB into a MariaDB server and begin experimenting with it.
But having a plugin is only the first step — you still need a practical, reproducible way to run real workloads against it, that’s where TAF comes in.
This blog exists to give anyone interested in TidesDB a roadmap to the city of benchmarking it — a clear, reproducible starting point for […]
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MariaDB Foundation: Reproducing and Validating MDEV‑37992 with TAF
Thanks to Mark Callaghan for filing MDEV‑37992. This regression only appears under specific LRU and buffer‑pool conditions, and requires a memory‑resident workload to expose.
Using TAF, I reproduced the issue across 11.8, 12.3, and 13.1 using both parent commits and patched commits from MDEV‑33966. The fix restores expected throughput in all branches.
The workload used was POINTS‑COVERED‑PK with 10M rows × 8 tables, 40 threads, warmup enabled, and a 90G buffer pool. TAF’s warmup iteration, rest detection, and stable‑state perf […]
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MariaDB Foundation Advances TAF with HammerDB 6.0 and xt_reservoir Integration
Overview
While validating MariaDB RSS stability under stored procedure workloads, I ran into unexpected memory growth. The goal was straightforward: confirm that MariaDB was not leaking memory when running TPROC-C stored procedure workloads. To do this, I used HammerDB TPROC-C SP and added improved RSS monitoring so I could watch memory usage over long-duration runs.
The results were clear. MariaDB RSS stayed stable. HammerDB 5.0 kept growing, and growing.
This led to a deeper investigation into HammerDB itself, and ultimately […]
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A response to Percona’s 2026 MySQL ecosystem benchmark: useful data, but not a realistic MariaDB comparison
Percona’s new 2026 benchmark report is interesting because it puts several MySQL-family releases on the same graphs and shares a public repository for the test harness. That openness is welcome. But after reading both the article and the published scripts, I do not think the post supports broad conclusions about “ecosystem performance,” and I especially do not think it represents an adequately tuned MariaDB, worthy of a neutral comparison.
Versions
The versions chosen for MariaDB are already a subject of […]
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Big Vector Search Benchmark: 10 databases comparison
I have benchmarked MariaDB Vector before, but it was a while ago. Users kept asking about Milvus. New pgvector alternatives were gaining popularity. And I simply wanted to see if MariaDB got any better. This benchmark round includes more databases, larger dataset, and no irrelevant datasets that only add noise but don’t really help today in 2026.
Dataset
Now is the AI time. Vector search is used for embeddings generated by LLMs. Most ann-benchmarks datasets are pre-AI and use, for […]
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Why sysbench‑tpcc results on outdated hardware should not be presented as a valid OLTP vendor comparison
Benchmark results only have meaning when the workload, hardware, and methodology are clearly defined and reproducible. When those elements are unclear or incomplete, the conclusions can easily mislead readers into assuming the results represent something they do not.
That is the core issue with the recent Percona post comparing MySQL, Percona Server, and MariaDB.
This is not about disputing Percona’s numbers. Their results may be valid for their environment.
The problem is that the post presents the results in a […]
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Tempesta Technologies Becomes Silver Sponsor of MariaDB Foundation
We are delighted to welcome Tempesta Technologies as a Silver Sponsor of the MariaDB Foundation!
Tempesta Technologies is the developer of Tempesta FW, an open-source hybrid of a web accelerator and a multi-layer firewall. Engineered for maximum efficiency, Tempesta FW is tightly integrated with the Linux TCP/IP stack and leverages cutting-edge technologies to deliver exceptional web application performance. It provides robust protection against DDoS and web attacks while ensuring smooth, high-speed operation under normal conditions.
This partnership underscores MariaDB Server’s […]
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How Intel helps MariaDB become even faster
There are many forums in the past couple of years where I have talked about how non-code contributions are just as important to MariaDB Server and us at the MariaDB Foundation as the code contributions I typically help with. I’ve also highlighted in the past how Intel have provided some fantastic non-code contributions. They assist us by detecting performance issues on their new and future platforms, as well guidance in finding the root cause of these issues.
The outcome: Over […]