Databricks
A data and AI company built around lakehouse architecture and collaborative analytics.
- Location
- San Francisco, United States
- Founded
- 2013
An editorial guide to established robotics companies, selected for relevant services, specialization, public work and market presence.
Ranked using public company information, specialization, client feedback and market presence.
A data and AI company built around lakehouse architecture and collaborative analytics.
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Google's cloud platform spanning infrastructure, data analytics, AI and collaboration.
Microsoft's cloud platform for infrastructure, applications, data and AI services.
An AI research and deployment company building general-purpose models and developer products.
| Company | Headquarters | Founded | Selected services | Technology |
|---|---|---|---|---|
| Databricks | San Francisco, United States | 2013 | Data platform, AI platform | Apache Spark, Lakehouse |
| NVIDIA | Santa Clara, United States | 1993 | Accelerated computing, AI platforms | CUDA, GPUs |
| Palantir | Denver, United States | 2003 | Data platforms, AI applications | Foundry, Gotham |
| Hugging Face | New York, United States | 2016 | Model platform, Developer tools | Transformers, Model Hub |
| Cohere | Toronto, Canada | 2019 | Enterprise AI, Language models | Command, Embed |
Factbase considers relevant services, technology expertise, years in business, public portfolios, client feedback and geographic reach. Rankings are editorial judgments, not mathematically objective scores.
Read the full methodology →We revisit category pages when material public information changes and date each report so readers can judge its freshness.
No. Commercial relationships do not determine editorial order. Any future sponsored placement would be labeled clearly.
Yes. A short discovery conversation with two or three relevant teams is usually the clearest way to compare working style, scope and cost.