kitio.aipgvector vs MongoDB Atlas Vector Search
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. pgvector is completely free, while MongoDB Atlas Vector Search is freemium.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Vector column type
- HNSW and IVFFlat indexes
- Multiple distance metrics
- Plain SQL queries
- Wide cloud support
- Vector indexes in Atlas
- Hybrid text and vector search
- Voyage AI embeddings
- Automated embedding
- Document filtering
| Feature | pgvector | MongoDB Atlas Vector Search |
|---|---|---|
| Best for | Open-source vector similarity search extension for Postgres | Vector search built into MongoDB Atlas with Voyage AI embeddings |
| Category | Models & APIs | Models & APIs |
| Pricing model | Free | Freemium |
| Starting price | Free | See pricing page |
| Free plan | Yes, fully free | Yes |
| Made by | pgvector contributors | MongoDB |
| Based in | – | United States |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
pgvector is completely free, while MongoDB Atlas Vector Search is freemium.
Free plan
Cheapest paid plan
Top plan
Free trial
4 plans
Free
Free
- 512 MB storage
- Shared RAM and vCPU
- Free forever
Flex
$0.011/hr, up to $30/mo
- 5 GB storage
- Shared RAM and vCPU
- Billed by ops/second tier
Dedicated
From $0.08/hr
- 10 GB to 4 TB storage
- 2 GB to 768 GB RAM
- Starts at about $57/mo
Enterprise Advanced
Contact sales
- Self-managed MongoDB
- Search and Vector Search add-on
- Consultative support
Prices in USD, checked Oct 28, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
pgvector
- Uses your existing database
- Free and widely supported
- Full SQL power
- Slower than specialized engines at scale
- Index builds use memory
- Tuning needs Postgres skills
MongoDB Atlas Vector Search
- No separate vector store
- Strong embedding models included
- Free tier for testing
- Best if you already use MongoDB
- Search nodes add cost
- Some features in preview
Which one should you choose?
Choose pgvector if you want:
- Uses your existing database
- Free and widely supported
- Full SQL power
Watch out: slower than specialized engines at scale.
Choose MongoDB Atlas Vector Search if you want:
- No separate vector store
- Strong embedding models included
- Free tier for testing
Watch out: best if you already use mongodb.
pgvector vs MongoDB Atlas Vector Search FAQ
What is the difference between pgvector and MongoDB Atlas Vector Search?
pgvector: Open-source vector similarity search extension for Postgres. MongoDB Atlas Vector Search: Vector search built into MongoDB Atlas with Voyage AI embeddings. Both are models & apis tools.
Is pgvector or MongoDB Atlas Vector Search cheaper?
pgvector is completely free, while MongoDB Atlas Vector Search is freemium.
Do pgvector and MongoDB Atlas Vector Search have free plans?
pgvector: Yes, fully free. MongoDB Atlas Vector Search: Yes.
Who makes pgvector?
pgvector is made by pgvector contributors.
Who makes MongoDB Atlas Vector Search?
MongoDB Atlas Vector Search is made by MongoDB, based in United States.
Which should I choose, pgvector or MongoDB Atlas Vector Search?
Choose pgvector if you value uses your existing database and free and widely supported. Choose MongoDB Atlas Vector Search if you value no separate vector store and strong embedding models included.