Azure Databricks vs. IBM Cloud Pak for Data
A side-by-side comparison based on G2 review data.
| Metric | Azure Databricks | IBM Cloud Pak for Data |
|---|---|---|
| Overall rating | 4.5 | 4.3 |
| Review count | 240 | 89 |
| Ease of use | 8.9 | 8.3 |
| Ease of setup | 8.9 | 7.6 |
| Quality of support | 8.7 | 8.5 |
| Meets requirements | 9.0 | 8.7 |
| NPS | 68.691589 | 49.295775 |
| Small Business | 25.1% | 27.3% |
| Mid-Market | 27.6% | 21.6% |
| Enterprise | 47.3% | 51.1% |
| Total page views | 404 | 161 |
| Total LLM citations | 1,981 | 1,152 |
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
IBM Cloud Pak for Data
IBM Cloud Pak® for Data is a fully integrated data and AI platform that modernizes how businesses collect, organize and analyze data, forming the foundation to infuse AI across their organization. Running on Red Hat OpenShift and available on any cloud, this unified platform helps companies automate the end-to-end AI lifecycle.