AI & Machine Learning Ready
Vector embeddings and similarity search built-in. Works with modern AI models for RAG, recommendations, and semantic search.
Managed PGVector
PostgreSQL with vector search for AI workloads.
PostgreSQL with pgvector extension for vector similarity search. Perfect for applications that need both relational data and AI embeddings - RAG applications, recommendation systems, and ML pipelines with ACID compliance. Deploy in minutes via portal, CLI, API, or Terraform.
PostgreSQL Meets AI
PostgreSQL Foundation
All the reliability and ACID compliance of PostgreSQL plus vector capabilities. Combine relational and vector data seamlessly.
European & Open Source
Data stays in Europe. Pure open source - no vendor lock-in, export anytime with standard PostgreSQL tools.
No Vendor Lock-in Guaranteed
Pure PostgreSQL with pgvector extension - no proprietary modifications. Export your data anytime using standard PostgreSQL tools like pg_dump. Migrate to any PostgreSQL-compatible platform without code changes.
Pay Only for What You Use
Start with a hobbyist plan for experimentation and scale to enterprise workloads. The pgvector extension is included at no extra cost—you only pay for your PostgreSQL instance. No upfront licensing costs, just predictable hourly billing.
Hobbyist
For small AI applications and experimentation. Daily backups included.
| Memory | CPU | Volume size | Replicas | Max. Connections | Price / Hour ({{ currency | uppercase }}) | |
|---|---|---|---|---|---|---|
| Hobbyist-2 | 2 GB | 2 | 2 GB | 0 | 25 | {{ prices['dbaas-pg']['hobbyist-2'][currency] | number:8 }} |
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Postgres, PostgreSQL and the Slonik Logo are trademarks or registered trademarks of the PostgreSQL Community Association of Canada. Any use by Exoscale is for referential purposes only and does not imply endorsement, sponsorship or affiliation between the PostgreSQL Community and Exoscale.
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Available in all Zones
Start, scale, monitor your vector database. All in the same, simple interface.
Platform Benefits
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Dedicated Resources
Guaranteed performance with dedicated compute and storage. No noisy neighbors affecting your vector search latency.
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European Data Centers
Choose from zones across Switzerland, Germany, Austria, Bulgaria, and Croatia. Full GDPR compliance and data sovereignty.
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End-to-End Encryption
TLS encryption in transit and automatic encryption at rest for your stored embeddings and data.
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Production Ready
Built for enterprise workloads with automatic scaling, monitoring, and maintenance.
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Database Forking
Risk-free testing of AI model changes without affecting your production vector search service.
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Easy Migration
Migrate from existing PostgreSQL databases seamlessly using standard pg_dump/pg_restore or logical replication.
Combine with...
…other Exoscale products to build complete AI infrastructure:
GPU Servers
Built for compute heavy workloads like machine learning, data processing, and scientific simulations. Easily integrate GPU nodes into your Kubernetes clusters for accelerated performance where it matters most.
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Compute Instances
Flexible virtual machines optimized for general-purpose, memory-intensive, CPU bound applications or GPU workloads. Combine with your Kubernetes workloads to scale efficiently across all use cases.
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Scalable Kubernetes Service
Deploy containerized applications on a production ready hosted and managed Kubernetes cluster in under two minutes. Use SKS as the orchestration layer for your application pods, using GPU virtual machine instances as underlying nodes.
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Simple Object Storage
Use a highly scalable and S3-compatible object storage solution for unstructured data. Ideal for storing backups, logs, static assets, or media, fully integrated with Exoscale regions and access-controlled via API.
DiscoverGet Started with PGVector for PostgreSQL
PostgreSQL Documentation
Get started with Managed PostgreSQL on Exoscale. Complete guides for setup, configuration, and best practices for running PostgreSQL in production.
PGVector Documentation
Official pgvector extension documentation. Learn how to store, query, and index vector embeddings directly in PostgreSQL using the pgvector extension.
Compare Vector Databases Solutions
Compare PGVector vs Vector Search to find the best fit. Understand the strengths and use cases of each solution to choose the right vector database for your AI and machine learning workloads.
Powered by aiven.io
Our DBaaS is powered by Aiven, one of the leading European companies for managing open source data infrastructure in the cloud. The partnership offers Exoscale customers an integrated environment for their complete cloud infrastructure – without any security compromise. Both companies are GDPR compliant to ensure highest standards for customers’ data. The sole use of open source projects make sure that customers are not vendor locked-in and always at the latest standard of technology.
Explore More Exoscale Services
Expand your infrastructure with services that boost availability, optimize performance, and provide expert support for all your workloads.
Managed Vector Search
OpenSearch-based vector database optimized for pure AI workloads and large-scale semantic search with horizontal scaling.
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DBaaS
Explore our full range of managed database services including PostgreSQL, MySQL, Valkey, Kafka, and OpenSearch. All fully managed in Europe.
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Support Plans
Get expert guidance for your database and AI infrastructure with flexible support plans designed for production workloads.
DiscoverTrusted by Engineers Across Europe.
When running mission critical production workloads in the cloud, a partner you can rely on makes all the difference. Our customer success engineers have helped hundreds of customers from all over Europe migrate, run and scale production workloads on Exoscale.
Contact us