DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
Stack AIAI Agents for the Enterprise
Comparison · AI Agents · weekly run Nov 3
Databricks vs Stack AI
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 1.4 for Stack AI.
Choose Databricks if…
- You want the brand AI engines rank higher (3 vs 1.4)
- AI answers describe it more positively (35% vs 0% positive)
- 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)
Choose Stack AI if…
- You need HIPAA or GDPR coverage
- hosted no-code agent builders
- free tiers for experimenting
- solid G2 and Slashdot ratings
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Databricks | Stack AI |
|---|---|---|
| Visibility score | 3% | 1.4% |
| Change vs last week | New | New |
| Rank in AI Agents | #30 | #51 |
| Share of voice | 0.9% | 0.4% |
| Mentions this run | 6 | 3 |
| Positive in AI answers | 35% | 0% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Stack AI 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksStack AI
Head to head in AI answers
0 engine answers name both brands
0Databricks ranked higher
0Stack AI ranked higher
Features, pricing & fit
| Dimension | Databricks | Stack AI |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Contact sales |
| Free plan | — | Yes |
| Deployment | Available across all major cloud providers | Multi-tenant cloud, VPC, or on-premise |
| Integrations | — | 500+ |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | HIPAA, GDPR, SOC 2 Type II, ISO 27001 |
| Support | Technical support on request, Technical documentation | Community support on Discord, Email support, Priority support, Dedicated support |
| Founded | 2013 | 2023 |
| Headquarters | San Francisco, CA | San Francisco, CA, United States |
| Employees | 5,000+ | 51–200 |
| Funding | Round at $60B valuation, including secondary sale | Series A · $19M raised |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | IT teams and enterprise architecture teams that need to orchestrate, deploy, govern, and scale AI across the enterprise, including finance, risk and operations teams. |
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
Stack AI
- hosted no-code agent builders
- free tiers for experimenting
- solid G2 and Slashdot ratings
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Stack AI”, https://slateindex.ai/compare/databricks-vs-stack-ai, data of Nov 3, 2026. Licence: CC BY 4.0.