Databricks vs Prometheus Group
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Databricks is the stronger AI pick in MLOps Platforms: it has a visibility score of 46.2 versus 3.7 for Prometheus Group, and ranks ahead in 0% of the answers that name both.
Choose Databricks if…
- You want the brand AI engines rank higher (46.2 vs 3.7)
- You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 2 Type II or SOC 3 coverage
- You prefer a larger, established vendor (5,000+ employees)
- Lakehouse architecture combining data warehousing with data lake flexibility
Choose Prometheus Group if…
- You need SOC 2 Type 2 coverage
- Collects metrics and works with Grafana for dashboards and alerts
- Common, widely used option for monitoring
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Databricks | Prometheus Group |
|---|---|---|
| Visibility score | 46.2% | 3.7% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #2 | #22 |
| Share of voice | 7.6% | 1.1% |
| Mentions this run | 51 | 8 |
| Positive in AI answers | 35% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Prometheus Group 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
Head to head in AI answers
3 engine answers name both brands
| Prompt | Engine | Databricks | Prometheus Group |
|---|---|---|---|
| What should an MLOps platform integrate with? | ChatGPT | #21 | #17 |
| What should an MLOps platform integrate with? | Perplexity | #10 | #9 |
| Is Altair RapidMiner a good MLOps platform? | ChatGPT | #8 | #3 |
Features, pricing & fit
| Dimension | Databricks | Prometheus Group |
|---|---|---|
| Pricing model | — | Per seat |
| Entry price | — | Contact sales |
| Free plan | — | No |
| Deployment | Available across all major cloud providers | — |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | SOC 2 Type 2 |
| Support | Technical support on request, Technical documentation | Dedicated project manager and experienced services team through implementation, Consulting services and bundled training and support |
| Founded | 2013 | 1998 |
| Headquarters | San Francisco, CA | Raleigh, NC, United States |
| Employees | 5,000+ | 1,001–5,000 |
| Funding | Round at $60B valuation, including secondary sale | Private equity round · $10M raised |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Plant and facility operators in asset-intensive industries that run SAP, Oracle or IBM Maximo and need maintenance, operations and reliability teams working together. |
Plans side by side
Databricks
Pricing not available.
Prometheus Group
Pros and cons
Themes from the AI answers that mention each brand
Databricks
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
- Top customer satisfaction ratings alongside Snowflake
- Free trial and free Edition for learning
- Discounts for annual prepaid commitments
- Complex consumption-based pricing with no single fixed price
- Best only when ML, Spark, or Python skills are central to the team
Prometheus Group
- Collects metrics and works with Grafana for dashboards and alerts
- Common, widely used option for monitoring
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Prometheus Group”, https://slateindex.ai/compare/databricks-vs-prometheus, data of Nov 2, 2026. Licence: CC BY 4.0.