Managed Service for PostgreSQL

Manage clusters of the popular PostgreSQL object-relational DBMS in the Nebius infrastructure.

The service is provided free of charge and is at the Preview stage.

Optimal configuration

Deploy a ready-to-use cluster in just a few minutes. DB settings are optimized for the selected cluster size and you can change them if necessary.

Easy scaling

Add new servers or increase the capacity in a matter of minutes if the load on your cluster increases.

Ready for RAG

Use our Managed Service for PostgreSQL with the pg_vector extension for the production of your RAG solutions.

ML/AI cycle use cases where this service is essential

Database for ML tools

PostgreSQL can serve as a database for storing metadata for common ML tools and services across a wide range of AI project needs.

Vector storage for embeddings

By leveraging PostgreSQL’s array data types and indexing capabilities, ML engineers can efficiently store and retrieve high-dimensional vectors used for embeddings.

Rapid prototyping in AI

Thanks to its extensibility, PostgreSQL supports rapid prototyping of applications and data structures, making it ideal for experimentation within AI projects.

We take care of most database maintenance
Processes
Managed Service for PostgreSQL
PostgreSQL self‑installation
Data access control
VM deployment
Network configurations
OS and software installation
Backup and recovery
Data replication setup
Data storage and hardware security
Integration with Nebius services
Monitoring tools

Customer control

Control on the Nebius side

Intuitive cloud console for a smooth user experience

To get started, go to the Nebius console and create a PostgreSQL database cluster. You can set the characteristics, choose a host class and storage size, and select the network to connect your cluster to.

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Questions and answers about Managed Service for PostgreSQL

What are the typical features of PostgreSQL?

PostgreSQL is an open-source, object-relational DBMS that is highly reliable, easy to scale and often used as a backend database for ML tools.

Start your journey

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