DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
GleanEnterprise AI that understands your company
Comparison · AI Agents · weekly run Nov 3
Databricks vs Glean
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 0.9 for Glean, and ranks ahead in 100% of the answers that name both.
Choose Databricks if…
- You want the brand AI engines rank higher (3 vs 0.9)
- You need ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 3 coverage
- You prefer a larger, established vendor (5,000+ employees)
- Lakehouse architecture combining data warehousing with data lake flexibility
Choose Glean if…
- AI answers describe it more positively (56% vs 35% positive)
- You need ISO 42001 or HIPAA or TX-RAMP Level 2 or GDPR coverage
- Enterprise search across many connected apps
- Seen as a market leader in enterprise search
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Databricks | Glean |
|---|---|---|
| Visibility score | 3% | 0.9% |
| Change vs last week | New | New |
| Rank in AI Agents | #30 | #63 |
| Share of voice | 0.9% | 0.4% |
| Mentions this run | 6 | 3 |
| Positive in AI answers | 35% | 56% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Glean 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksGlean
Head to head in AI answers
1 engine answers name both brands
1Databricks ranked higher
0Glean ranked higher
| Prompt | Engine | Databricks | Glean |
|---|---|---|---|
| Which AI Agents vendors do analysts recommend? | ChatGPT | #8 | #12 |
Features, pricing & fit
| Dimension | Databricks | Glean |
|---|---|---|
| Deployment | Available across all major cloud providers | Per-customer search model stored in the customer's VPC |
| Integrations | — | 250+ |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | ISO 42001, HIPAA, TX-RAMP Level 2, SOC 2 Type II, ISO 27001, GDPR |
| Support | Technical support on request, Technical documentation | Help Center |
| Founded | 2013 | 2019 |
| Headquarters | San Francisco, CA | San Francisco, CA |
| Employees | 5,000+ | 501–1,000 |
| Funding | Round at $60B valuation, including secondary sale | Seed or early-stage round (emerged from stealth) · $765M raised |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Large enterprises that want AI answers and agents grounded in their own permission-aware company data |
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
Glean
- Enterprise search across many connected apps
- Seen as a market leader in enterprise search
- Finds answers and internal experts quickly
- Recommended for enterprise-wide knowledge search
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Glean”, https://slateindex.ai/compare/databricks-vs-glean, data of Nov 3, 2026. Licence: CC BY 4.0.