Databricks vs. MLJAR
A side-by-side comparison based on G2 review data.
| Metric | Databricks | MLJAR |
|---|---|---|
| Overall rating | 4.6 | 4.4 |
| Review count | 1,388 | 16 |
| Ease of use | 8.9 | 9.0 |
| Ease of setup | 8.7 | 8.2 |
| Quality of support | 8.9 | 8.4 |
| Meets requirements | 9.1 | 8.6 |
| NPS | 77.851361 | 56.25 |
| Small Business | 15.1% | 25.0% |
| Mid-Market | 37.6% | 12.5% |
| Enterprise | 47.2% | 62.5% |
| Total page views | 16,340 | 9 |
| Total LLM citations | 14,031 | 11 |
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
MLJAR
Leader in creating Data Science Tools. MLJAR is an automated machine learning (AutoML) framework designed to make building and deploying machine learning models easier and more accessible. It offers tools to help users—whether they are data scientists, analysts, or non-technical individuals—create machine learning models without needing extensive programming skills, build data-powered apps, and analyze data. ! NEW ! Boost your machine learning power with MLJAR STUDIO - an innovative Python machine learning editor.