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Managed Database for PostgureSQL and MySQL Documentation

Managed Database for PostgreSQL and MySQL

Managed Database for PostgreSQL and MySQL provides fully-managed relational Database Instances that offer you automatic backups, scaling, monitoring and more.

PostgreSQL and MySQL Quickstart

Getting Started

Quickstart

Learn how to create a Managed Database for PostgreSQL and MySQL in a few steps.

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Concepts

Core concepts to better understand Managed Database for PostgreSQL and MySQL.

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How-Tos

Learn how to use your Managed Database for PostgreSQL and MySQL via the Scaleway console.

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Additional Content

Check out in-depth information about Managed Database for PostgreSQL and MySQL.

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Tutorials

Visualizing time-Series data with TimescaleDB and GrafanaRead more
Upgrading your Database for PostgreSQL to the latest versionRead more
Migrating MySQL databases to a Database for PostgreSQL using pgLoaderRead more
Use Scaleway Managed Redis™ for MySQL caching with Entity FrameworkRead more
Managed Database for PostgreSQL and MySQL API

Manage your PostgreSQL and MySQL Database Instances using the Scaleway API.

Go to Managed Database for PostgreSQL and MySQL API

Changelog

  • PostgreSQL and MySQL
    Added

    Block Storage Low Latency for PostgreSQL and MySQL now available in Public Beta

    Block Storage Low Latency with high resiliency and 5k IOPs is now available in Public Beta on PLAY2, PRO2 & POP2 offers in the Paris and Amsterdam regions.

    For more information, refer to Scaleway Documentation.

  • PostgreSQL and MySQL
    Added

    Latest versions are now available for Managed Databases

    Scaleway Managed Databases now supports PostgreSQL 15.5, 14.10, 13.13, 12.17 and FerretDB 1.14. The MySQL stability has also been improved.

    For more information, refer to the PostgreSQL and FerretDB release notes.

  • PostgreSQL and MySQL
    Added

    PostgreSQL pgvector is now available!

    The pgvector extension enables many AI use cases by turning your PostgreSQL instance into a vector database. Features like storing embeddings and vector similarity search are particularly interesting.

    For more information, refer to the pgvector github project.

View the full changelog
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