DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
OutSystemsYour AI development platform built for the enterprise
Comparison · AI Agents · weekly run Nov 3
Databricks vs OutSystems
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 2.8 for OutSystems.
Choose Databricks if…
- You want the brand AI engines rank higher (3 vs 2.8)
- 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)
- Lakehouse architecture combining data warehousing with data lake flexibility
Choose OutSystems if…
- AI answers describe it more positively (42% vs 35% positive)
- You need a self-hosted or on-premises option
- You need ISO 22301 or FedRAMP Authorized or HIPAA or PCI DSS or GDPR or ENS (Spain) or ACN (Italy) or DESC (UAE) coverage
- Enterprise-grade scalability for complex, mission-critical applications
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Databricks | OutSystems |
|---|---|---|
| Visibility score | 3% | 2.8% |
| Change vs last week | New | New |
| Rank in AI Agents | #30 | #32 |
| Share of voice | 0.9% | 0.8% |
| Mentions this run | 6 | 5 |
| Positive in AI answers | 35% | 42% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · OutSystems 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksOutSystems
Head to head in AI answers
0 engine answers name both brands
0Databricks ranked higher
0OutSystems ranked higher
Features, pricing & fit
| Dimension | Databricks | OutSystems |
|---|---|---|
| Pricing model | — | Flat tiers |
| Entry price | — | Contact sales |
| Free plan | — | Yes |
| Deployment | Available across all major cloud providers | Cloud, hybrid and sovereign cloud deployment, with a self-hosted on-premises option in certain plans |
| Integrations | — | 400+ |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | SOC 2 Type II, ISO 27001, ISO 22301, FedRAMP Authorized, HIPAA, PCI DSS, GDPR, ENS (Spain), ACN (Italy), DESC (UAE) |
| Support | Technical support on request, Technical documentation | — |
| Founded | 2013 | 2001 |
| Headquarters | San Francisco, CA | Boston, Massachusetts, United States |
| Employees | 5,000+ | 1,001–5,000 |
| Funding | Round at $60B valuation, including secondary sale | Series F, led by KKR |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Regulated enterprises that need to modernize legacy systems and run custom apps and agents they can trust |
Plans side by side
Databricks
Pricing not available.
OutSystems
OutSystems Personal Edition$0
OutSystems Agentic Systems PlatformCustomcustom quote
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
OutSystems
- Enterprise-grade scalability for complex, mission-critical applications
- High performance and speed in app delivery
- Strong analyst rankings as an enterprise low-code leader
- Full-stack web and mobile app development with omnichannel reach
- Modernizing legacy systems and deep integrations
- Quote-based, opaque enterprise pricing
- High cost for enterprise tiers
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs OutSystems”, https://slateindex.ai/compare/databricks-vs-outsystems, data of Nov 3, 2026. Licence: CC BY 4.0.