Databricks vs. Seldon
A side-by-side comparison based on G2 review data.
| Metric | Databricks | Seldon |
|---|---|---|
| Overall rating | 4.6 | 4.3 |
| Review count | 1,388 | 11 |
| Ease of use | 8.9 | 8.2 |
| Ease of setup | 8.7 | 7.1 |
| Quality of support | 8.9 | 9.3 |
| Meets requirements | 9.1 | 9.6 |
| NPS | 77.851361 | 54.545455 |
| Small Business | 15.1% | 36.4% |
| Mid-Market | 37.6% | 18.2% |
| Enterprise | 47.2% | 45.5% |
| Total page views | 16,340 | 62 |
| Total LLM citations | 14,031 | 128 |
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
Seldon
Seldon gets machine learning models to production faster, in the most reliable way. Front-end deployment of models, explainers and canaries means users can deploy ML models and testing can be done in live environments. Metrics and dashboards can monitor models to improve performance and rapidly communicate errors for easy debugging. Model explainers mean you can understand and adjust what features are influencing the model and anomaly detection can flag drifts in data.