Databricks vs vLLM
Databricks and vLLM are both AI Platforms tools in our directory. This side-by-side comparison covers pricing, user ratings, supported platforms, key features and open-source status so you can decide which one fits your needs.
Side-by-side comparison
| Attribute | Databricks | vLLM |
|---|---|---|
| Vendor | Databricks | vLLM Project |
| Rating | ★ 4.6 | ★ 4.8 |
| Pricing | Pay-as-you-go | Free |
| Platforms | Cloud, API, Notebooks | Self-hosted, API |
| Key features | Lakehouse of Spark plus Delta, Unity Catalog governance, Mosaic AI model training and serving | PagedAttention throughput, OpenAI-compatible server, Continuous batching |
| Headquarters | San Francisco, USA | Open source (community) |
| Founded | 2013 | 2023 |
| Open source | No | Yes |
Key differences
- vLLM has a higher user rating (4.8★ vs 4.6★).
- Databricks is Pay-as-you-go, while vLLM is Free.
- vLLM is open source (its code is public), while Databricks is proprietary.
- Databricks runs on Cloud, API, Notebooks; vLLM runs on Self-hosted, API.
Frequently asked questions
Is Databricks or vLLM better?
By user rating, vLLM scores higher (4.8★ vs 4.6★). Both are capable AI Platforms tools, so review the feature comparison for your use case.
Which is cheaper, Databricks or vLLM?
Databricks is Pay-as-you-go and vLLM is Free. Check each product page for current plan details.
Are Databricks and vLLM open source?
vLLM is open source, while Databricks is proprietary.