Databricks vs Salesforce
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Salesforce is the stronger AI pick in Business Intelligence: it has a visibility score of 19.5 versus 4.3 for Databricks, and ranks ahead in 67% of the answers that name both.
Choose Databricks if…
- AI answers describe it more positively (35% vs 21% positive)
- You need ISO 27001 or ISO 27701 or SOC 2 Type II coverage
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
Choose Salesforce if…
- You want the brand AI engines rank higher (19.5 vs 4.3)
- You need ISO 27001:2022 or SOC 2 or HITRUST coverage
- Powerful reporting, automation and customisation
- Market leader and gold standard CRM
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Databricks | Salesforce |
|---|---|---|
| Visibility score | 4.3% | 19.5% |
| Change vs last week | New | New |
| Rank in Business Intelligence | #18 | #8 |
| Share of voice | 1.6% | 4.7% |
| Mentions this run | 8 | 23 |
| Positive in AI answers | 35% | 21% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Salesforce 0pp over 0 weekly runs.
Engine by engine
Salesforce leads on 3 of 3 engines
Head to head in AI answers
3 engine answers name both brands
| Prompt | Engine | Databricks | Salesforce |
|---|---|---|---|
| What should a business intelligence tool integrate with? | Perplexity | #2 | #3 |
| Best business intelligence tool for enterprise | AI Mode | #7 | #3 |
| Which Business Intelligence vendors do analysts recommend? | ChatGPT | #9 | #2 |
Features, pricing & fit
| Dimension | Databricks | Salesforce |
|---|---|---|
| Deployment | Available across all major cloud providers | Cloud (SaaS) |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | ISO 27001:2022, ISO 27017, ISO 27018, SOC 1, SOC 2, SOC 3, HITRUST |
| Support | Technical support on request, Technical documentation | Phone, Trailblazer Community, Success Plans, Trailhead training |
| Founded | 2013 | 1999 |
| Headquarters | San Francisco, CA | San Francisco, California |
| Employees | 5,000+ | 5,000+ |
| Funding | Round at $60B valuation, including secondary sale | — |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Businesses from small companies to large enterprises wanting sales, service, marketing and commerce on one CRM platform |
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
Salesforce
- Powerful reporting, automation and customisation
- Market leader and gold standard CRM
- Deep ecosystem and strong CRM integrations
- Built for large enterprises and scaling
- Free trial to test its features
- Requires a dedicated administrator to manage
- High enterprise pricing
- Heavy, slow implementation that suits large budgets
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Salesforce”, https://slateindex.ai/compare/databricks-vs-salesforce, data of Nov 2, 2026. Licence: CC BY 4.0.