kitio.aiElasticsearch vs ONNX
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. ONNX is completely free, while Elasticsearch is free trial.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Vector embedding storage and search
- Elastic Agent Builder
- Kibana dashboards
- Jina AI search models
- Serverless, hosted or self-managed
- Observability and security use cases
- Standard model file format
- Common operator set
- Framework export support
- Runtime and accelerator support
- Open governance
| Feature | Elasticsearch | ONNX |
|---|---|---|
| Best for | Search engine and vector database for AI apps and agents | Open file format for moving ML models between frameworks |
| Category | Models & APIs | Models & APIs |
| Pricing model | Free trial | Free |
| Starting price | See pricing page | Free |
| Free plan | No, trial available | Yes, fully free |
| Made by | Elastic | ONNX community (LF AI & Data) |
| Based in | Netherlands | – |
| Rating | No ratings yet | No ratings yet |
| Key features |
|
|
Pricing compared
ONNX is completely free, while Elasticsearch is free trial.
Free plan
Cheapest paid plan
Top plan
Free trial
Prices in USD, checked Nov 5, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
Elasticsearch
- Handles keyword and vector search together
- Three deployment options
- Mature ecosystem and tooling
- Pricing details are not clear on the page
- Cluster tuning takes expertise
- Broad product line can be confusing
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 Elasticsearch if you want:
- Handles keyword and vector search together
- Three deployment options
- Mature ecosystem and tooling
Watch out: pricing details are not clear on the page.
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.
Elasticsearch vs ONNX FAQ
What is the difference between Elasticsearch and ONNX?
Elasticsearch: Search engine and vector database for AI apps and agents. ONNX: Open file format for moving ML models between frameworks. Both are models & apis tools.
Is Elasticsearch or ONNX cheaper?
ONNX is completely free, while Elasticsearch is free trial.
Do Elasticsearch and ONNX have free plans?
Elasticsearch: No, trial available. ONNX: Yes, fully free.
Who makes Elasticsearch?
Elasticsearch is made by Elastic, based in Netherlands.
Who makes ONNX?
ONNX is made by ONNX community (LF AI & Data).
Which should I choose, Elasticsearch or ONNX?
Choose Elasticsearch if you value handles keyword and vector search together and three deployment options. Choose ONNX if you value supported by many frameworks and runtimes and free and open source.