kitio.aipgvector vs ONNX
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. pgvector starts at Free and ONNX starts at Free. Check both pricing pages for current plans.
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
- Standard model file format
- Common operator set
- Framework export support
- Runtime and accelerator support
- Open governance
| Feature | pgvector | ONNX |
|---|---|---|
| Best for | Open-source vector similarity search extension for Postgres | Open file format for moving ML models between frameworks |
| Category | Models & APIs | Models & APIs |
| Pricing model | Free | Free |
| Starting price | Free | Free |
| Free plan | Yes, fully free | Yes, fully free |
| Made by | pgvector contributors | ONNX community (LF AI & Data) |
| Based in | – | – |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
pgvector starts at Free and ONNX starts at Free. Check both pricing pages for current plans.
Free plan
Cheapest paid plan
Top plan
Free trial
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
ONNX
- Supported by many frameworks and runtimes
- Free and open source
- Eases moving models to new hardware
- Not every operator converts cleanly
- Needs a separate runtime to execute models
- Aimed at ML engineers, not end users
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 ONNX if you want:
- Supported by many frameworks and runtimes
- Free and open source
- Eases moving models to new hardware
Watch out: not every operator converts cleanly.
pgvector vs ONNX FAQ
What is the difference between pgvector and ONNX?
pgvector: Open-source vector similarity search extension for Postgres. ONNX: Open file format for moving ML models between frameworks. Both are models & apis tools.
Is pgvector or ONNX cheaper?
pgvector starts at Free and ONNX starts at Free. Check both pricing pages for current plans.
Do pgvector and ONNX have free plans?
pgvector: Yes, fully free. ONNX: Yes, fully free.
Who makes pgvector?
pgvector is made by pgvector contributors.
Who makes ONNX?
ONNX is made by ONNX community (LF AI & Data).
Which should I choose, pgvector or ONNX?
Choose pgvector if you value uses your existing database and free and widely supported. Choose ONNX if you value supported by many frameworks and runtimes and free and open source.