Azure Databricks vs. Teradata Autonomous Knowledge Platform
A side-by-side comparison based on G2 review data.
| Metric | Azure Databricks | Teradata Autonomous Knowledge Platform |
|---|---|---|
| Overall rating | 4.5 | 4.3 |
| Review count | 240 | 374 |
| Ease of use | 8.9 | 8.6 |
| Ease of setup | 8.9 | 8.3 |
| Quality of support | 8.7 | 8.6 |
| Meets requirements | 9.0 | 8.9 |
| NPS | 68.691589 | 50.282486 |
| Small Business | 25.1% | 11.0% |
| Mid-Market | 27.6% | 21.1% |
| Enterprise | 47.3% | 67.9% |
| Total page views | 404 | 763 |
| Total LLM citations | 1,981 | 820 |
Azure Databricks
Azure Databricks is a unified, open analytics platform developed collaboratively by Microsoft and Databricks. Built on the lakehouse architecture, it seamlessly integrates data engineering, data science, and machine learning within the Azure ecosystem. This platform simplifies the development and deployment of data-driven applications by providing a collaborative workspace that supports multiple programming languages, including SQL, Python, R, and Scala.
- Ease of Use
- Features
- Integrations
- Speed
- Scaling
- Analytics
Teradata Autonomous Knowledge Platform
Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI. Learn more at Teradata.com.
- Performance
- Speed
- Analytics
- Scalability
- Large Datasets
- Performance Evaluation