Amazon SageMaker vs. Databricks
A side-by-side comparison based on G2 review data.
| Metric | Amazon SageMaker | Databricks |
|---|---|---|
| Overall rating | 4.3 | 4.6 |
| Review count | 57 | 1,388 |
| Ease of use | 8.6 | 8.9 |
| Ease of setup | 8.6 | 8.7 |
| Quality of support | 8.9 | 8.9 |
| Meets requirements | 8.9 | 9.1 |
| NPS | 46.296296 | 77.851361 |
| Small Business | 30.9% | 15.1% |
| Mid-Market | 34.5% | 37.6% |
| Enterprise | 34.5% | 47.2% |
| Total page views | 401 | 16,340 |
| Total LLM citations | 1,606 | 14,031 |
Amazon SageMaker
Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools and infrastructure, streamlining the entire ML workflow from data preparation to model deployment. With SageMaker, users can quickly connect to training data, select and optimize algorithms, and deploy models in a secure and scalable environment.
- Ease of Use
- Implementation Ease
- Model Management
- Time-Saving
- Features
- Fast Processing
Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
- Features
- Ease of Use
- Integrations
- Collaboration
- Analytics
- Easy Integrations