DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
DifyThe Platform for Production-Ready Agentic Workflows
Comparison · AI Agents · weekly run Nov 3
Databricks vs Dify
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Dify is the stronger AI pick in AI Agents: it has a visibility score of 5.2 versus 3 for Databricks, and ranks ahead in 0% of the answers that name both.
Choose Databricks if…
- AI answers describe it more positively (35% vs 27% positive)
- You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 3 coverage
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
Choose Dify if…
- You want the brand AI engines rank higher (5.2 vs 3)
- You need a self-hosted or on-premises option
- You need ISO 27001:2022 or GDPR coverage
- Self-hosting and strong data control
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Databricks | Dify |
|---|---|---|
| Visibility score | 3% | 5.2% |
| Change vs last week | New | New |
| Rank in AI Agents | #30 | #22 |
| Share of voice | 0.9% | 1.5% |
| Mentions this run | 6 | 11 |
| Positive in AI answers | 35% | 27% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Dify 0pp over 0 weekly runs.
Engine by engine
Dify leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksDify
Head to head in AI answers
1 engine answers name both brands
1Databricks ranked higher
0Dify ranked higher
| Prompt | Engine | Databricks | Dify |
|---|---|---|---|
| Which AI Agents vendors do analysts recommend? | ChatGPT | #8 | #17 |
Features, pricing & fit
| Dimension | Databricks | Dify |
|---|---|---|
| Pricing model | — | Flat tiers |
| Entry price | — | Free; paid from $590 / mo |
| Free plan | — | Yes |
| Deployment | Available across all major cloud providers | Dify Cloud, customer VPC, or self-hosted (Docker, Kubernetes via Helm chart) |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | SOC 2 Type II, ISO 27001:2022, GDPR |
| Support | Technical support on request, Technical documentation | Community Discord and forum support, Dedicated CSM and 24/7 support on Enterprise, Professional technical support on Enterprise |
| Founded | 2013 | 2023 |
| Headquarters | San Francisco, CA | — |
| Employees | 5,000+ | — |
| Funding | Round at $60B valuation, including secondary sale | Series Pre-A |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Enterprise teams and developers who need to take AI agents and workflows from prototype to production, including organizations that require private deployment, security review and audit. |
Plans side by side
Databricks
Pricing not available.
Dify
Professional$590per workspace / year
Team$1,590per workspace / year
Sandbox$0free
EnterpriseCustomcustom, contact sales
Community$0free
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
Dify
- Self-hosting and strong data control
- Recommended as a no-code option
- Well suited for building AI-powered applications
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Dify”, https://slateindex.ai/compare/databricks-vs-dify, data of Nov 3, 2026. Licence: CC BY 4.0.