Databricks vs LangChain
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
LangChain is the stronger AI pick in AI Agents: it has a visibility score of 10.4 versus 3 for Databricks, and ranks ahead in 50% of the answers that name both.
Choose Databricks if…
- AI answers describe it more positively (35% vs 17% positive)
- You need ISO 27001 or 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)
- Lakehouse architecture combining data warehousing with data lake flexibility
Choose LangChain if…
- You want the brand AI engines rank higher (10.4 vs 3)
- You need a self-hosted or on-premises option
- Stateful multi-agent orchestration via state graphs
- Strong open-source adoption with large download numbers
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Databricks | LangChain |
|---|---|---|
| Visibility score | 3% | 10.4% |
| Change vs last week | New | New |
| Rank in AI Agents | #30 | #12 |
| Share of voice | 0.9% | 2.7% |
| Mentions this run | 6 | 18 |
| 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 · LangChain 0pp over 0 weekly runs.
Engine by engine
LangChain leads on 3 of 3 engines
Head to head in AI answers
2 engine answers name both brands
| Prompt | Engine | Databricks | LangChain |
|---|---|---|---|
| Best AI agent platform for enterprise | AI Mode | #4 | #2 |
| Which AI Agents vendors do analysts recommend? | ChatGPT | #8 | #21 |
Features, pricing & fit
| Dimension | Databricks | LangChain |
|---|---|---|
| Pricing model | — | Per seat |
| Entry price | — | Free; paid from $39 per seat / mo |
| Free plan | — | Yes |
| Deployment | Available across all major cloud providers | Cloud (SaaS), hybrid (SaaS control plane with self-hosted data plane), or self-hosted in the customer's VPC |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | — |
| Support | Technical support on request, Technical documentation | Community forum, Support portal, Email support, Slack |
| Founded | 2013 | 2023 |
| Headquarters | San Francisco, CA | San Francisco, CA, United States |
| Employees | 5,000+ | 201–500 |
| Funding | Round at $60B valuation, including secondary sale | Series B, led by IVP |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Teams building agents that need control over models, context, memory and deployment, and the ability to test, govern and improve them in production |
Plans side by side
Databricks
Pricing not available.
LangChain
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
LangChain
- Stateful multi-agent orchestration via state graphs
- Strong open-source adoption with large download numbers
- Suited to enterprise agent loops
- Heavy developer framework that requires coding
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs LangChain”, https://slateindex.ai/compare/databricks-vs-langchain, data of Nov 3, 2026. Licence: CC BY 4.0.