DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
LangGraphLow-level orchestration framework and runtime for long-running, stateful agents.
Comparison · AI Agents · weekly run Nov 3
Databricks vs LangGraph
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
LangGraph is the stronger AI pick in AI Agents: it has a visibility score of 24.4 versus 3 for Databricks, and ranks ahead in 100% of the answers that name both.
Choose Databricks if…
- 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
- Top customer satisfaction ratings alongside Snowflake
Choose LangGraph if…
- You want the brand AI engines rank higher (24.4 vs 3)
- AI answers describe it more positively (44% vs 35% positive)
- You need a self-hosted or on-premises option
- You need ISO 27001:2022 or GDPR or HIPAA coverage
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Databricks | LangGraph |
|---|---|---|
| Visibility score | 3% | 24.4% |
| Change vs last week | New | New |
| Rank in AI Agents | #30 | #4 |
| Share of voice | 0.9% | 5.3% |
| Mentions this run | 6 | 33 |
| Positive in AI answers | 35% | 44% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · LangGraph 0pp over 0 weekly runs.
Engine by engine
LangGraph leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksLangGraph
Head to head in AI answers
3 engine answers name both brands
0Databricks ranked higher
3LangGraph ranked higher
| Prompt | Engine | Databricks | LangGraph |
|---|---|---|---|
| How do companies build and deploy AI agents that automate work without a dedicated tool? | ChatGPT | #10 | #7 |
| What is the difference between an AI agent platform and MLOps Platforms? | ChatGPT | #8 | #5 |
| Best AI agent platform for enterprise | AI Mode | #4 | #1 |
Features, pricing & fit
| Dimension | Databricks | LangGraph |
|---|---|---|
| Deployment | Available across all major cloud providers | SaaS in US and EU regions, plus self-hosted and hybrid options available on Enterprise only. |
| 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, HIPAA |
| Support | Technical support on request, Technical documentation | — |
| Founded | 2013 | — |
| Headquarters | San Francisco, CA | San Francisco |
| Employees | 5,000+ | — |
| Funding | Round at $60B valuation, including secondary sale | Series B |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Teams building long-running, stateful AI agents. |
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
LangGraph
- Production standard for stateful, multi-agent workflows
- Strong engineering control for complex, cyclical agent logic
- Widely adopted open-source developer framework
- Best choice for autonomous AI agents
- Heavy developer framework that requires coding effort
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs LangGraph”, https://slateindex.ai/compare/databricks-vs-langgraph, data of Nov 3, 2026. Licence: CC BY 4.0.