Azure Databricks vs. Progress MarkLogic
A side-by-side comparison based on G2 review data.
| Metric | Azure Databricks | Progress MarkLogic |
|---|---|---|
| Overall rating | 4.5 | 4.3 |
| Review count | 240 | 65 |
| Ease of use | 8.9 | 8.3 |
| Ease of setup | 8.9 | 8.4 |
| Quality of support | 8.7 | 8.5 |
| Meets requirements | 9.0 | 8.9 |
| NPS | 68.691589 | 50 |
| Small Business | 25.1% | 24.6% |
| Mid-Market | 27.6% | 23.1% |
| Enterprise | 47.3% | 52.3% |
| Total page views | 404 | 205 |
| Total LLM citations | 1,981 | 530 |
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
Progress MarkLogic
Progress MarkLogic is an enterprise-grade multi-model data management platform that unlocks value from complex data. It works with the full breadth of a company's information and makes it easily discoverable and ready to power high-value applications, decision intelligence and trustworthy AI. Organizations leverage integrated capabilities to integrate, harmonize, search and visualize multi-model data to build a connected data ecosystem as the secure and scalable foundation for the AI era.