Choosing your managed database

Take the example of an e-commerce platform: each order involves updating the inventory, customer balance, and purchase history at the same time. Without strict ACID transactions, a crash during writing can leave your data in an inconsistent state, with a direct impact on customer experience and your accounting records.

PostgreSQL ensures that these operations form an indivisible block, while offering high performance on intensive OLTP loads. With OVHcloud, the service is fully managed: no failover management or maintenance to worry about, meaning that your team can focus on the product.

Lancer Databases for PostgreSQL

A startup launching a web application rarely has the opportunity to spend weeks modelling a perfect schema: needs evolve with each sprint, tables are added, relationships change.

MySQL is designed for this pace. It offers native compatibility with major web frameworks and ORMs, almost immediate usability, and reliable performance on high-volume CRUD workloads.

On the infrastructure side, OVHcloud handles configuration, backups, and upgrades, without your team having to get involved. The development team connects with its usual driver and pushes to production the same day.

Lancer Databases for MySQL

A product catalogue in the retail sector or a content management platform faces a structural problem: each product sheet has different attributes. Imposing a rigid relational schema in this context generates repeated migrations and causes a hindrance every time you want to change the catalogue.

MongoDB stores each document independently, which allows attributes to be added as and when, without touching the rest of the data. This model takes on an additional dimension as soon as the application integrates search or personalisation: MongoDB natively supports vector search. The engine therefore allows the product data and the embeddings used for recommendations or semantic search to coexist in the same database.

OVHcloud removes the operational complexity of MongoDB – managing replica set management, index configuration and upgrades, without your team needing to get involved.

Lancer Databases for MongoDB

An SaaS platform that monitors its feature usage in real time. An e-commerce website that monitors its conversion rate during Black Friday. A mobile app that detects a behavioural anomaly as soon as it occurs. All these use cases share the same need: to act on the data at the moment it is created, not after.

Managed ClickHouse addresses this problem with an analytical engine capable of querying billions of events and returning results in just a few seconds. The dashboards refresh continuously, so business teams can query directly without having to wait for a nightly batch, and decisions are based on up-to-date data.

OVHcloud offers fully managed ClickHouse, designed for OLAP workloads: its columnar storage allows you to scan only the necessary fields and feed your business intelligence tools at data speed, without having to scale up your infrastructure.

Lancer Analytics with ClickHouse

A high-traffic web application that queries its relational databases on every request quickly reaches its limits: response times increase and the load spirals out of control. User sessions, frequent query results, or view counters are all read hundreds of times per second but rarely change.

Valkey solves this problem by keeping this data directly in memory, with sub-millisecond response times even under high concurrency. Its native data structures (lists, sorted sets, hashmaps) cover the most common use cases, such as shopping carts, real-time rankings, and authentication token management.

OVHcloud offers fully managed Valkey, with high availability and persistence that are both configurable according to the criticality level of your data. Version upgrades and security patches are applied automatically, without service interruptions.

Lancer Databases for Valkey

A SecOps team that correlates security events across dozens of log sources, or an application that must offer its users relevant search results over millions of documents, both hit the same wall: relational databases are not designed to index and score free text at scale. Every LIKE query on a large table is a full, slow, and expensive scan.

OpenSearch is designed for this model: it continuously indexes massive volumes of semi-structured data and returns relevance-ranked results in just a few milliseconds. A cybersecurity platform can centralise its system, network, and application logs to detect attack patterns in real time. A SaaS application can connect its user search to offer fuzzy matching, autocomplete, and faceted filtering.

OVHcloud offers fully managed OpenSearch, with configurable indexes and high availability included.

Lancer Analytics with OpenSearch