DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
PegaThe leading AI-powered platform for enterprise transformation
Comparison · AI Agents · weekly run Nov 3
Databricks vs Pega
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 0.6 for Pega, and ranks ahead in 100% of the answers that name both.
Choose Databricks if…
- You want the brand AI engines rank higher (3 vs 0.6)
- AI answers describe it more positively (35% vs 20% positive)
- You need ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 3 coverage
- Lakehouse architecture combining data warehousing with data lake flexibility
Choose Pega if…
- You need SOC 1 Type II or ISO 42001 or ISO 22301:2019 or ISO 9001 or CSA or PCI DSS or Cyber Essentials or Cyber Essentials Plus or HITRUST or GDPR or FedRAMP or HIPAA or IRAP coverage
- Strong fit for workflow automation, RPA, case management, and decisioning
- Named among leading low-code vendors in analyst evaluations
- Recognised as a major enterprise CRM suite provider
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Databricks | Pega |
|---|---|---|
| Visibility score | 3% | 0.6% |
| Change vs last week | New | New |
| Rank in AI Agents | #30 | #68 |
| Share of voice | 0.9% | 0.2% |
| Mentions this run | 6 | 2 |
| Positive in AI answers | 35% | 20% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Pega 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksPega
Head to head in AI answers
1 engine answers name both brands
1Databricks ranked higher
0Pega ranked higher
| Prompt | Engine | Databricks | Pega |
|---|---|---|---|
| Which AI Agents vendors do analysts recommend? | ChatGPT | #8 | #24 |
Features, pricing & fit
| Dimension | Databricks | Pega |
|---|---|---|
| Deployment | Available across all major cloud providers | Cloud (Pega Cloud, fully managed SaaS) |
| Integrations | — | 200+ |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | SOC 1 Type II, SOC 2 Type II, ISO 27001, ISO 42001, ISO 22301:2019, ISO 9001, CSA, PCI DSS, Cyber Essentials, Cyber Essentials Plus, HITRUST, GDPR, FedRAMP, HIPAA, IRAP |
| Support | Technical support on request, Technical documentation | — |
| Founded | 2013 | 1983 |
| Headquarters | San Francisco, CA | Waltham, Massachusetts, United States |
| Employees | 5,000+ | 5,000+ |
| Funding | Round at $60B valuation, including secondary sale | IPO |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Large enterprises in regulated industries that need governed workflow automation and decisioning |
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
Pega
- Strong fit for workflow automation, RPA, case management, and decisioning
- Named among leading low-code vendors in analyst evaluations
- Recognised as a major enterprise CRM suite provider
- AI-powered decisioning and workflow tools
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Pega”, https://slateindex.ai/compare/databricks-vs-pega, data of Nov 3, 2026. Licence: CC BY 4.0.