DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
HexThe Analytics platform for humans and agents
Comparison · Business Intelligence · weekly run Nov 2
Databricks vs Hex
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 Business Intelligence: it has a visibility score of 4.3 versus 1.9 for Hex.
Choose Databricks if…
- You want the brand AI engines rank higher (4.3 vs 1.9)
- You need ISO 27001 or 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 Hex if…
- AI answers describe it more positively (67% vs 35% positive)
- You need HIPAA or GDPR or SOC 1 Type II coverage
- Suited to technical, data-heavy founders
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Databricks | Hex |
|---|---|---|
| Visibility score | 4.3% | 1.9% |
| Change vs last week | New | New |
| Rank in Business Intelligence | #18 | #25 |
| Share of voice | 1.6% | 0.6% |
| Mentions this run | 8 | 3 |
| Positive in AI answers | 35% | 67% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Hex 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksHex
Head to head in AI answers
0 engine answers name both brands
0Databricks ranked higher
0Hex ranked higher
Features, pricing & fit
| Dimension | Databricks | Hex |
|---|---|---|
| Pricing model | — | Per seat |
| Entry price | — | Free; paid from $36 per seat / mo |
| Free plan | — | Yes |
| Deployment | Available across all major cloud providers | Multi-tenant cloud on AWS, with EU multi-tenant and single-tenant options |
| Integrations | — | 30+ |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | SOC 2 Type II, HIPAA, GDPR, SOC 1 Type II |
| Support | Technical support on request, Technical documentation | Email, In-product messenger, Technical documentation, Slack and Microsoft Teams with Enterprise SLA |
| Founded | 2013 | 2019 |
| Headquarters | San Francisco, CA | San Francisco, CA, United States |
| Employees | 5,000+ | 51–200 |
| Funding | Round at $60B valuation, including secondary sale | Series D |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Data teams and business users who need self-serve analytics with trusted, governed answers |
Plans side by side
Databricks
Pricing not available.
Hex
Community$0free
Professional$36per Editor / month
Team$75per Editor / month
EnterpriseCustomcustom
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
Hex
- Suited to technical, data-heavy founders
- Team plans can be costly, rising to $500+ per month with more seats
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Hex”, https://slateindex.ai/compare/databricks-vs-hex, data of Nov 2, 2026. Licence: CC BY 4.0.