Transactional reliability
The InnoDB engine provides ACID transactions, foreign keys, row-level locking and crash recovery.
Expertise · MySQL
Etixio structures, optimizes and evolves your MySQL databases: query performance, high availability, security and migration. We build the business applications and web platforms that rely on this data, and prepare it for your reporting and AI use cases.
Understanding the technology
MySQL is a relational database used by many web and business applications. Tables, constraints and transactions make it possible to organize related information. The quality of the schema and queries matters as much as the power of the hosting for the software’s performance.

The benefits for your application
MySQL is one of the most widely used open-source relational databases, often chosen for web and business applications written in PHP, Node.js or Python. Its ecosystem and ease of operation make it a solid default choice.
The InnoDB engine provides ACID transactions, foreign keys, row-level locking and crash recovery.
Window functions, CTEs, the JSON data type and a cost-based optimizer; MySQL 8.4 LTS is now the reference version for a new project.
Drivers for every language, support in frameworks and ORMs, proven administration and backup tools.
Replication, clustering and load balancing help maintain availability and extend read capacity.
What we cover
Organize tables, constraints and transactions around business rules.
Review execution plans and indexes based on actual usage.
Prepare migrations, backups and restore tests.
Our MySQL expertise
MySQL 8.4 LTS and MariaDB, migration from MySQL 8.0 (end of life since April 2026), InnoDB engine, execution plans and optimizer, B-tree, full-text, spatial and composite indexes.
EXPLAIN, slow query log, Performance Schema, configuration tuning (buffer pool) and application caching with Redis or Memcached.
Source / replica replication with failover, Galera Cluster for synchronous multi-master, load balancing and partitioning.
mysqldump, XtraBackup and binary logs for point-in-time recovery; role management, least privilege, encryption in transit and at rest.
MySQL, data and AI
A dashboard or AI agent that queries your business data is only useful if that data is consistent and can be accessed without risk to production. We prepare dedicated views and read-only access, replicas for heavy processing and data flows to analytics tools. See our BI & data offering and our AI solutions for business.

In the field
For an order management tool, we model the relationships and check the operations that modify several pieces of information. Slow queries are analyzed with their execution plans and data volumes. Indexes are chosen based on actual searches, taking into account their effect on writes.
The choices that matter
Fixing performance does not always mean adding a cache or an index. Unnecessary loading and the way pagination is done may be the cause. We also prepare schema migrations, backups and restore tests so that data remains usable after an incident.
From work to deliverables
The scope of the engagement specifies the components to build or take over and the acceptance criteria. We prepare what is needed to understand the changes, verify them and continue the work.
Frequently asked questions
MySQL is one of the most widely used open-source relational databases. It suits web applications, APIs and business software, thanks to its reliability, performance and support across most languages and frameworks.
Yes. MySQL offers ACID transactions, replication, clustering and encryption. Properly modeled, monitored and backed up on a maintained version, it supports critical applications.
Yes. MySQL 8.0 reached end of life in April 2026 and no longer receives public security fixes. The natural target is MySQL 8.4 LTS. We first check behavior changes (modified defaults, mysql_native_password authentication disabled by default), test the application on a copy of the data, then plan the cutover with a rollback option. On a managed service, the provider’s schedule adds its own constraints.
MySQL is easy to operate and performs well for read-heavy web applications. PostgreSQL offers more advanced types and functions, useful for complex data and analytics. Both are good choices; the application’s context decides.
Analyze slow queries with EXPLAIN, create indexes suited to actual searches, tune the configuration (especially the InnoDB buffer pool), avoid unnecessary loading, partition if needed and cache on the application side when relevant.
Read replicas, load balancing, Galera Cluster or InnoDB Cluster for high availability, partitioning and, for very large volumes, sharding. The architecture depends on the nature of the workload.
Least-privilege accounts, strong passwords, TLS and at-rest encryption, regular updates, access logging, a database not exposed to the internet and encrypted backups.
mysqldump for logical backups, XtraBackup for hot physical backups, binary logs for point-in-time recovery, all automated and verified through regular restore tests.
MySQL for structured data, many relationships and transactions. MongoDB for flexible schemas and semi-structured data. An architecture can combine MySQL with Redis or MongoDB depending on the use case.
Yes, provided it goes through views or a read-only API, with limited permissions and logs, rather than direct access to the production database. We prepare this access and the related data before the production release.
A fixed-price project for a defined migration or optimization, a dedicated team to evolve the application and its data over time, or a targeted engagement (performance, high availability, incident).
Tell us about the application, the issue to address and the known constraints. We will review the dependencies and the initial scope of work with your team.