DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
Relevance AISpecialist AI Agents for Every Task
Comparison · AI Agents · weekly run Nov 3
Databricks vs Relevance AI
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Relevance AI is the stronger AI pick in AI Agents: it has a visibility score of 8 versus 3 for Databricks.
Choose Databricks if…
- 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
- Strong for machine learning, AI, and data engineering workloads
Choose Relevance AI if…
- You want the brand AI engines rank higher (8 vs 3)
- AI answers describe it more positively (50% vs 35% positive)
- You need SOC 2 or GDPR coverage
- visual drag-and-drop agent builder
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Databricks | Relevance AI |
|---|---|---|
| Visibility score | 3% | 8% |
| Change vs last week | New | New |
| Rank in AI Agents | #30 | #15 |
| Share of voice | 0.9% | 1.5% |
| Mentions this run | 6 | 10 |
| Positive in AI answers | 35% | 50% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Relevance AI 0pp over 0 weekly runs.
Engine by engine
Relevance AI leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksRelevance AI
Head to head in AI answers
0 engine answers name both brands
0Databricks ranked higher
0Relevance AI ranked higher
Features, pricing & fit
| Dimension | Databricks | Relevance AI |
|---|---|---|
| Pricing model | — | Flat tiers |
| Entry price | — | Contact sales |
| Free plan | — | No |
| Deployment | Available across all major cloud providers | — |
| Integrations | — | 2000+ |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | SOC 2, GDPR |
| Support | Technical support on request, Technical documentation | Embedded deployment team, Dedicated account manager on Enterprise plan |
| Founded | 2013 | 2020 |
| Headquarters | San Francisco, CA | San Francisco, California, United States |
| Employees | 5,000+ | 51–200 |
| Funding | Round at $60B valuation, including secondary sale | Series A (unconfirmed, reported by Signalbase) · $37M raised |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Enterprise teams in sales, customer success, marketing and HR that want non-technical staff to build and run their own agents. |
Plans side by side
Databricks
Pricing not available.
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
Relevance AI
- visual drag-and-drop agent builder
- free tier
- prebuilt agent templates for sales, support, and operations
- hosted no-code agent builder useful for experimenting
- named best overall
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Relevance AI”, https://slateindex.ai/compare/databricks-vs-relevance-ai, data of Nov 3, 2026. Licence: CC BY 4.0.