DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
PalantirWe build software that empowers organizations to effectively integrate their data, decisions, and operations.
Comparison · AI Agents · weekly run Nov 3
Databricks vs Palantir
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 AI Agents: it has a visibility score of 3 versus 1.2 for Palantir, and ranks ahead in 100% of the answers that name both.
Choose Databricks if…
- You want the brand AI engines rank higher (3 vs 1.2)
- 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
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
Choose Palantir if…
- You need FedRAMP High or FISMA High or DoD IL5 or DoD IL6 or CMMC Level 2 or SOC 2 Type 2 or ISO/IEC 27001 or ISO/IEC 27017 or ISO/IEC 27018 or HIPAA or GDPR coverage
- Included in ISG's evaluated vendor landscape
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Databricks | Palantir |
|---|---|---|
| Visibility score | 3% | 1.2% |
| Change vs last week | New | New |
| Rank in AI Agents | #30 | #53 |
| Share of voice | 0.9% | 0.5% |
| Mentions this run | 6 | 4 |
| 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 · Palantir 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksPalantir
Head to head in AI answers
2 engine answers name both brands
2Databricks ranked higher
0Palantir ranked higher
| Prompt | Engine | Databricks | Palantir |
|---|---|---|---|
| Which AI Agents vendors do analysts recommend? | ChatGPT | #8 | #9 |
| Which AI Agents vendors do analysts recommend? | Perplexity | #2 | #17 |
Features, pricing & fit
| Dimension | Databricks | Palantir |
|---|---|---|
| Deployment | Available across all major cloud providers | Apollo deployment foundation used across highly secure and regulated environments, including FedRAMP, IL5 and IL6. |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | FedRAMP High, FISMA High, DoD IL5, DoD IL6, CMMC Level 2, SOC 2 Type 2, ISO/IEC 27001, ISO/IEC 27017, ISO/IEC 27018, HIPAA, GDPR |
| Support | Technical support on request, Technical documentation | — |
| Founded | 2013 | 2003 |
| Headquarters | San Francisco, CA | — |
| Employees | 5,000+ | — |
| Funding | Round at $60B valuation, including secondary sale | Post-IPO equity round led by ARK Investment Management · $2460M raised |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Federal agencies, state and local governments, international organizations and private companies. |
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
Palantir
- Included in ISG's evaluated vendor landscape
- Placed in ISG's Merit tier, not the top tiers
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Palantir”, https://slateindex.ai/compare/databricks-vs-palantir, data of Nov 3, 2026. Licence: CC BY 4.0.