Percona · Company blog · 11 a month · 11 posts since Oct 29, 2026
Nov 10
In Part 1 we ran analytical reports in DuckDB on a DBTrail copy instead of on MySQL. This time I want to look at a different question: what if the application does not need to know the copy exists?
Nov 9
It was quite challenging to perform postgres major upgrade, e.g., v17 to v18, in a Percona operator/K8s environment. There was no convenient approach to accomplish this task.
Nov 6
In my previous post I said that MongoDB published some impressive numbers for 9.0, but I couldn’t find any details about how the tests were done. I ended with “always run your own benchmarks”. So I figured I should follow my own advice.
Nov 5
MySQL and DuckDB Unlike row-oriented databases, which store data for a single record sequentially on disk, favoring single-row lookups, columnar databases store all the values from a column contiguously in storage, allowing only the...
Nov 3
Percona Search for MongoDB 1.70.5-3 is now Generally Available and supported for production use. You can now easily run full-text, vector, and hybrid searches with automatic embedding on production Percona Server for MongoDB deployments.
Nov 2
An alternative to sharding a MongoDB replica set that outgrew its memory: a proof of concept A replica set that no longer fits in memory Most MongoDB replica sets start small.
Nov 1
Every MySQL schema that’s been around for a few years collects indexes nobody remembers adding. Some were for a report that was retired. Some came from an ORM migration. A few were added “just in case” and never used.
Oct 30
Earlier this year, we introduced PSMDB Sandbox, a lightweight web UI that sits on top of our Terraform and Ansible automation for MongoDB. Since then, the project has changed a lot.
Oct 29
Percona Operator for MySQL 1.3.0 is out. This release moves three things forward for teams running MySQL on Kubernetes: the operator now tunes MySQL for you based on the pod resources, async clusters can fail over without losing data in...
Oct 29
Back in December I introduced Percona Load Generator for MongoDB Clusters (PLGM), a benchmark tool built around one idea: test your database with your own schema and your own queries, not some random data.
Oct 29
We loaded 990,000 OpenAI embeddings of 1,536 dimensions into six databases that index vectors themselves, built an HNSW index in each, and measured five things: time to a queryable index, storage and memory, recall against throughput...
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