Tag Archives: Benchmark
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 example, image transformations and filters to construct vectors. While useful for certain purposes, they are not the main use case for the MariaDB Vector and providing these results would be misleading and distracting from what matters to users.
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Continue reading “Big Vector Search Benchmark: 10 databases 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 way that implies a valid OLTP vendor comparison, while the underlying methodology and hardware make such a comparison impossible to support.
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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 a million NOPM in HammerDB
Today I want to discuss some of the performance improvements that Intel has helped with, which have led to MariaDB Server achieving 1 million NOPM (new orders per minute) in the HammerDB TPROC-C test.
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Continue reading “How Intel helps MariaDB become even faster”
When you have read my previous blog post about MariaDB 10.1 GA performance, you have probably wondered why I didn’t include any numbers for MySQL 5.7. There are two reasons: first MySQL wasn’t GA at that time and secondly MySQL is not running stable on Power8.
Today I will come up with a comparison benchmark. I have chosen some more down-to-earth hardware for that because that is what the majority of our users will be running. Specifically it’s a SP-64 cloud machine from OVH. It has a 4-core Intel CPU and 64G of RAM. Disks aren’t fancy, but the benchmark is again a simplified read-only OLTP workload that runs from memory. …
Continue reading “MariaDB 10.1 and MySQL 5.7 performance on commodity hardware”
Oracle has now launched MySQL-5.6.10-GA, so it is time to come up with some new benchmark results. The test candidates in this benchmark run are
- MySQL-5.5.29
- MySQL-5.6.10
- MariaDB-5.5.28a
- MariaDB-10.0.1
The 5.5 versions are in because I wanted to check for any regressions. In the past we have often seen performance regressions in newer versions which were caused by new features.
This time the benchmark was run on a different box. The main difference is that this box does not have SSD but a high performance RAID-5 with 512M of battery-backed cache. …
Continue reading “Sysbench OLTP: MySQL-5.6 vs. MariaDB-10.0”
MariaDB-5.5.21-beta is the first MariaDB release featuring the new thread pool. Oracle offers a commercial thread pool plugin for MySQL Enterprise, but now MariaDB brings a thread pool implementation to the community!
If you are not familiar with the term, please read the Knowledge Base article about it.
The main design goal of the thread pool is to increase the scalability of the MariaDB server with many concurrent connections. In order to test and demonstrate this, I have run the sysbench OLTP RO benchmark with up to 4096 threads to compare the new pool-of-threads and the traditional thread-per-connection scheduler:
Benchmark description:
- sysbench multi table OLTP, readonly
- 16 tables, totaling 40 mio rows (~10G of data)
- 16G buffer pool – result is independent of disk performance
- mysqld bound to 16 cpu cores, sysbench to the other 8
Read/write OLTP benchmark results will be published as soon as they are available. …
Recently I tested our new segmented key cache feature for MyISAM in MariaDB 5.2.2-gamma for performance gains. You can check our new features in MariaDB 5.2 in our Ask Monty Knowledge Base
You will also find the details about the segmented key cache feature in our Knowledge Base at:
We wrote a test in LUA for SysBench v0.5 called select_random_points.lua, to figure out the performance gain of splitting the key cache’s global mutex into several mutex under multi user load. …
Continue reading “Segmented key cache performance results for MariaDB 5.2.2-gamma”