Databricks vs Weaviate
Databricks and Weaviate 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 | Weaviate |
|---|---|---|
| Vendor | Databricks | Weaviate (SeMI) |
| Rating | ★ 4.6 | ★ 4.5 |
| Pricing | Pay-as-you-go | Freemium |
| Platforms | Cloud, API, Notebooks | Self-hosted, Cloud, API |
| Key features | Lakehouse of Spark plus Delta, Unity Catalog governance, Mosaic AI model training and serving | Self-hostable open source core, Hybrid dense+sparse retrieval, Built-in vectorization modules |
| Headquarters | San Francisco, USA | Amsterdam, Netherlands |
| Founded | 2013 | 2019 |
| Open source | No | Yes |
Key differences
- Databricks has a higher user rating (4.6★ vs 4.5★).
- Databricks is Pay-as-you-go, while Weaviate is Freemium.
- Weaviate is open source (its code is public), while Databricks is proprietary.
- Databricks runs on Cloud, API, Notebooks; Weaviate runs on Self-hosted, Cloud, API.
Frequently asked questions
Is Databricks or Weaviate better?
By user rating, Databricks scores higher (4.6★ vs 4.5★). Both are capable AI Platforms tools, so review the feature comparison for your use case.
Which is cheaper, Databricks or Weaviate?
Databricks is Pay-as-you-go and Weaviate is Freemium. Check each product page for current plan details.
Are Databricks and Weaviate open source?
Weaviate is open source, while Databricks is proprietary.