Databricks vs Workato
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 1.9 for Workato, and ranks ahead in 100% of the answers that name both.
Choose Databricks if…
- You want the brand AI engines rank higher (3 vs 1.9)
- AI answers describe it more positively (35% vs 17% positive)
- You need ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 2 Type II or SOC 3 coverage
- You prefer a larger, established vendor (5,000+ employees)
Choose Workato if…
- You need a self-hosted or on-premises option
- You need SOC 2 or HIPAA or GDPR or ISO/IEC 42001 coverage
- Rated Exemplary by ISG
- Strong enterprise governance
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Databricks | Workato |
|---|---|---|
| Visibility score | 3% | 1.9% |
| Change vs last week | New | New |
| Rank in AI Agents | #30 | #44 |
| Share of voice | 0.9% | 0.8% |
| Mentions this run | 6 | 6 |
| Positive in AI answers | 35% | 17% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Workato 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
Head to head in AI answers
2 engine answers name both brands
| Prompt | Engine | Databricks | Workato |
|---|---|---|---|
| What should an AI agent platform integrate with? | ChatGPT | #9 | #16 |
| Which AI Agents vendors do analysts recommend? | Perplexity | #2 | #13 |
Features, pricing & fit
| Dimension | Databricks | Workato |
|---|---|---|
| Pricing model | — | Flat tiers |
| Entry price | — | Free; paid from $100 / mo |
| Free plan | — | Yes |
| Deployment | Available across all major cloud providers | Cloud-hosted, with on-premises gateways for on-premises applications and databases, Virtual Private Workato as an add-on, and multi-region options on Enterprise |
| Integrations | — | 1200+ |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | SOC 2, HIPAA, GDPR, ISO 27001, ISO/IEC 42001 |
| Support | Technical support on request, Technical documentation | Live chat, documentation and community resources on Free and Pro, Priority support and dedicated success options on Enterprise, 24/7 product support and SLAs on Enterprise |
| Founded | 2013 | 2013 |
| Headquarters | San Francisco, CA | Palo Alto, California, United States |
| Employees | 5,000+ | 1,001–5,000 |
| Funding | Round at $60B valuation, including secondary sale | Series D · $420M raised |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Teams and enterprises that need to connect AI agents to business systems, from small teams starting on the Free and Pro plans to large organizations on Enterprise |
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
Workato
- Rated Exemplary by ISG
- Strong enterprise governance
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Workato”, https://slateindex.ai/compare/databricks-vs-workato, data of Nov 3, 2026. Licence: CC BY 4.0.