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SlateIndex
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 score4.3%1.9%
Change vs last weekNewNew
Rank in Business Intelligence#18#25
Share of voice1.6%0.6%
Mentions this run83
Positive in AI answers35%67%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 2Databricks 4%

Databricks 0pp · Hex 0pp over 0 weekly runs.

Engine by engine

Databricks leads on 2 of 3 engines

ChatGPT
3%
1.3%
AI Mode
3.7%
4.3%
Perplexity
6.3%
0%
DatabricksHex

Head to head in AI answers

0 engine answers name both brands

0Databricks ranked higher
0Hex ranked higher

Features, pricing & fit

DimensionDatabricksHex
Pricing model—Per seat
Entry price—Free; paid from $36 per seat / mo
Free plan—Yes
DeploymentAvailable across all major cloud providersMulti-tenant cloud on AWS, with EU multi-tenant and single-tenant options
Integrations—30+
ComplianceISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3SOC 2 Type II, HIPAA, GDPR, SOC 1 Type II
SupportTechnical support on request, Technical documentationEmail, In-product messenger, Technical documentation, Slack and Microsoft Teams with Enterprise SLA
Founded20132019
HeadquartersSan Francisco, CASan Francisco, CA, United States
Employees5,000+51–200
FundingRound at $60B valuation, including secondary saleSeries D
Best forData engineering, data science, analytics and AI teams at startups and global enterprisesData 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
Hex pricing

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.