Databricks vs Qdrant
Databricks and Qdrant 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 | Qdrant |
|---|---|---|
| Vendor | Databricks | Qdrant |
| Rating | ★ 4.6 | ★ 4.7 |
| Pricing | Pay-as-you-go | Freemium |
| Platforms | Cloud, API, Notebooks | Cloud, API, Self-host |
| Key features | Lakehouse of Spark plus Delta, Unity Catalog governance, Mosaic AI model training and serving | Rust engine for high-throughput ANN, Payload filters on vector search, Sparse + dense hybrid retrieval |
| Headquarters | San Francisco, USA | Berlin, Germany |
| Founded | 2013 | 2021 |
| Open source | No | Yes |
Key differences
- Qdrant has a higher user rating (4.7★ vs 4.6★).
- Databricks is Pay-as-you-go, while Qdrant is Freemium.
- Qdrant is open source (its code is public), while Databricks is proprietary.
- Databricks runs on Cloud, API, Notebooks; Qdrant runs on Cloud, API, Self-host.
Frequently asked questions
Is Databricks or Qdrant better?
By user rating, Qdrant scores higher (4.7★ vs 4.6★). Both are capable AI Platforms tools, so review the feature comparison for your use case.
Which is cheaper, Databricks or Qdrant?
Databricks is Pay-as-you-go and Qdrant is Freemium. Check each product page for current plan details.
Are Databricks and Qdrant open source?
Qdrant is open source, while Databricks is proprietary.