DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
ServiceNowCloud platform with AI for enterprise IT, employee and customer workflows
Comparison · AI Agents · weekly run Nov 3
Databricks vs ServiceNow
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
ServiceNow is the stronger AI pick in AI Agents: it has a visibility score of 9.3 versus 3 for Databricks, and ranks ahead in 67% of the answers that name both.
Choose Databricks if…
- You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 3 coverage
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
- Top customer satisfaction ratings alongside Snowflake
Choose ServiceNow if…
- You want the brand AI engines rank higher (9.3 vs 3)
- AI answers describe it more positively (36% vs 35% positive)
- You need ISO/IEC 27001 or ISO/IEC 27017 or ISO/IEC 27018 or ISO/IEC 27701 or ISO 9001 or ISO 22301 or ISO/IEC 42001 or FedRAMP High P-ATO coverage
- Dominant enterprise leader in IT service management
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Databricks | ServiceNow |
|---|---|---|
| Visibility score | 3% | 9.3% |
| Change vs last week | New | New |
| Rank in AI Agents | #30 | #14 |
| Share of voice | 0.9% | 2.5% |
| Mentions this run | 6 | 16 |
| Positive in AI answers | 35% | 36% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · ServiceNow 0pp over 0 weekly runs.
Engine by engine
ServiceNow leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksServiceNow
Head to head in AI answers
3 engine answers name both brands
1Databricks ranked higher
2ServiceNow ranked higher
| Prompt | Engine | Databricks | ServiceNow |
|---|---|---|---|
| What should an AI agent platform integrate with? | ChatGPT | #9 | #5 |
| Which AI Agents vendors do analysts recommend? | ChatGPT | #8 | #5 |
| Which AI Agents vendors do analysts recommend? | Perplexity | #2 | #8 |
Features, pricing & fit
| Dimension | Databricks | ServiceNow |
|---|---|---|
| Deployment | Available across all major cloud providers | Cloud |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | ISO/IEC 27001, ISO/IEC 27017, ISO/IEC 27018, ISO/IEC 27701, ISO 9001, ISO 22301, ISO/IEC 42001, SOC 2 Type II, FedRAMP High P-ATO |
| Support | Technical support on request, Technical documentation | — |
| Founded | 2013 | 2004 |
| Headquarters | San Francisco, CA | Santa Clara, CA |
| Employees | 5,000+ | 5,000+ |
| Funding | Round at $60B valuation, including secondary sale | IPO |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | — |
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
ServiceNow
- Dominant enterprise leader in IT service management
- Strong workflow automation and low-code app development
- Connects customer service, IT and field operations
- Strong out-of-the-box integrations with major CRMs
- Ranked highly by analysts and G2
- Long implementation times
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs ServiceNow”, https://slateindex.ai/compare/databricks-vs-servicenow, data of Nov 3, 2026. Licence: CC BY 4.0.