Databricks vs Pinecone
Databricks and Pinecone 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 | Pinecone |
|---|---|---|
| Vendor | Databricks | Pinecone |
| Rating | ★ 4.6 | ★ 4.5 |
| Pricing | Pay-as-you-go | Pay-as-you-go |
| Platforms | Cloud, API, Notebooks | API |
| Key features | Lakehouse of Spark plus Delta, Unity Catalog governance, Mosaic AI model training and serving | Managed, serverless vector search, Billions of embeddings, millisecond latency, Namespaces & metadata filtering |
| Headquarters | San Francisco, USA | New York, USA |
| Founded | 2013 | 2019 |
| Open source | No | No |
Key differences
- Databricks has a higher user rating (4.6★ vs 4.5★).
- Both Databricks and Pinecone use a Pay-as-you-go model.
- Databricks runs on Cloud, API, Notebooks; Pinecone runs on API.
Frequently asked questions
Is Databricks or Pinecone 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 Pinecone?
Both Databricks and Pinecone use a Pay-as-you-go pricing model.
Are Databricks and Pinecone open source?
No — neither Databricks nor Pinecone is open source.