We are pleased to welcome DBaasNow as a Silver Sponsor of the MariaDB Foundation.
As the MariaDB ecosystem continues to expand across cloud, hybrid, and on-premise environments, the need for consistent, reliable, and scalable database operations has never been more important. DBaasNow brings a strong focus to this space with its database operations control plane, designed to standardize and automate database lifecycle management across diverse infrastructures.
Simplifying Operations Across Mixed Database Environments
Many organizations today operate MariaDB alongside other database technologies. Managing these environments efficiently is often challenging, particularly in governance, automation, and operational consistency.
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Continue reading “DBaasNow Joins MariaDB Foundation as Silver Sponsor”
It’s easy to be a queen. Why? Because you can always count on your true selfless friends. I learned this already as a young princess. Nothing brightens a ball quite like a comment from one of your most trusted girlfriends:
- “Oh I love how you applied foundation — it’s not particularly aging, and it almost covers your zests.”
- “You are SO brave to wear this dress — I would have worried it makes me look… well… a bit much.”
It’s beautiful. It’s pure. It’s a sign of true friendship and it has nothing to do with the fact that this girlfriend is interested in the same prince
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You might have seen that MariaDB Vector is fast. And is getting faster. But why? How does it achieve that? And why it is said to use mHNSW (modified HNSW) algorithm? What did it modify in the conventional HNSW that all other databases are using? Let’s take it apart and analyze piece by piece.
Introduction into HNSW
This post is not a full description of HNSW, there are many HNSW descriptions online and they are good, better than what I could’ve written. I will only show the basic concepts beyond HNSW, concepts that are crucial for the rest of the post.
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I am starting a new series on what makes MariaDB Server distinct from MySQL, highlighting innovations that make the difference.
MariaDB 12.3 introduces a new binary log implementation that stores binlog events directly in InnoDB-managed tablespaces rather than in separate flat files on disk.
This is an incredible innovation; for a long time, binary logs have been a performance bottleneck. DimK pointed it out several times. [1], [2]
The new binlog design halves the number of fsyncs and improves performance, as Mark Callaghan noted in his blog posts.
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Continue reading “MariaDB Innovation: InnoDB-Based Binary Log”
We recently asked the MariaDB community a simple question:
Where do you run MariaDB most in production?
The responses give a useful snapshot of how MariaDB is deployed today across our community:
The big takeaway: MariaDB remains strongly infrastructure-aware
The clearest signal from this poll is that MariaDB is still most commonly run in environments where users want a high degree of control over the underlying infrastructure.
The top two clearly defined deployment models, on-prem VMs and bare metal, account for the largest share of visible responses.
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Continue reading “Where does the Community run most MariaDB in production – results from the poll”
When dealing with queries in MariaDB, there are several approaches, such as the general query log, the slow query log, and the performance_schema.
The general query log is not recommended as it doesn’t contain much valuable information and can use a lot of resources when writing to the file on busy systems.
The slow query log is a much better option, as it contains many metrics and can be tuned. But if you want to collect everything, writing to the disk can also be an expensive operation.
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Continue reading “Improving MariaDB Observability with OpenSearch and Grafana”
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”
You may have noticed that MySQL Workbench has not been actively developed for a long time… You can see the number of open bugs. And the number of commits illustrates this too:
In fact, Workbench has been put out of maintenance mode to add the MySQL HeatWave Migration Assistant to OCI. Not less, no more.
On some versions, it is no longer able to connect to a MariaDB Server, or to use it on new OSes (Fedora 43, recent macOS, …).
These kinds of GUI tools are very popular for developers, and I was surprised by the number of users Workbench had.
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