PostgresML
Simplifies RAG and ML apps with Postgres and GPUs, but requires a VPC for more than one node.
At a glance
Starts at
From $7.50 per query hour
Price as published by the vendor, September 2026.
Free tier
No
Platforms
Web, API
Best for
Developers familiar with PostgreSQL
Not for
Organizations with limited budgets
3.9 out of 5
Scored by Alex after real useOur verdict
PostgresML integrates machine learning into your existing PostgreSQL setup. Best suited for those who need simplicity and want to avoid complex microservices architectures. If you're looking for something simpler, this might not be the best choice.
✓What it does well
Unified PlatformCombines vectors, models, and data into one GPU-backed database.
Fast QueriesIndex, filter, and rank embeddings up to 10x faster than OpenAI for embedding generation.
Supportive CommunitySupported by engineers at companies working with bleeding-edge technology.
✕Where it falls short
Limited ScalabilityRequires a VPC deployment for multi-node setups, which adds complexity and cost.
No Free TierStarts at $7.50 per query hour with no free tier available.
Costly Fine-TuningFine-tuning models costs extra and is not included in the basic plan.
Key features
GPU SupportRuns embeddings, vectors, and LLMs on GPU-backed Postgres databases.
Open-Source SDKsProvides Python, JavaScript, and SQL interfaces for developers.
Embedding GenerationSupports running non-cached models like Meta-Llama in the cloud.
Fine-Tuning CostsAdditional costs for fine-tuning models