Apache Airflow vs LangChain
On the evidence we track, LangChain leads this comparison with a composite score of 79/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Features
The capabilities each product documents. These tools do not share a category taxonomy, so this aligns what each vendor states rather than a normalised feature set.
| Feature | Apache Airflow | LangChain |
|---|---|---|
| A2a support | - | ✓ |
| Code execution sandbox | - | ✓ |
| Connector count | 100+ | - |
| Data quality | ✓ | - |
| Dbt native | ✓ | - |
| Deployment model | - | managed-platform |
| Distributed executor | ✓ | - |
| Evaluation | - | ✓ |
| Experiment tracking | - | ✓ |
| Framework agnostic | - | ✓ |
| Human in the loop | - | ✓ |
| Incremental runs | ✓ | - |
| Lineage | ✓ | - |
| Llm observability | - | ✓ |
| Managed cloud | ✓ | ✓ |
| Mcp support | - | ✓ |
| Memory architecture | - | persistent |
| Model provider agnostic | - | ✓ |
| Model serving | - | ✓ |
| Multi language sdk | - | ✓ |
| Multi provider | - | ✓ |
| No train on data | - | unknown |
| Open source | - | ✓ |
| Orchestration model | - | multi-agent-sequential |
| Otel compatible | - | ✓ |
| Paradigm | batch | - |
| Pricing model | - | usage-based-saas |
| Prompt management | - | ✓ |
| Python first | ✓ | - |
| Role | orchestrator | observability |
| Self hostable | - | ✓ |
| Self hosted oss | ✓ | - |
| Streaming output | - | ✓ |
| Tool function calling | - | ✓ |
| Vpc deployment | - | ✓ |
What each one is
The product in its own terms, so the numbers below have context.
Apache Airflow
Apache Airflow is a workflow orchestration platform that enables users to define data pipelines in Python and schedule their execution across distributed workers. It provides a web interface for visualization and monitoring, plus extensive integrations with cloud platforms and services.
LangChain
LeaderA unified developer platform consisting of open-source frameworks and commercial tools for building, testing, monitoring, and deploying AI agents and LLM-powered applications.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
LangChain
LeaderFree Developer plan. Plus plan from $39/user/mo with unlimited seats. Enterprise custom pricing billed annually.
- DeveloperFree
- 1 free seat
- 5000 base traces per month
- Full LangSmith access
- Plus$39/seat/month, unlimited seats, 10k traces/month included
- Unlimited seats
- 10000 base traces per month
- 1 free small serverless deployment
- Team collaboration
- LangSmith Deployment service access
- EnterpriseContact sales
- Advanced administration options
- Enhanced security controls
- Priority support
- Custom deployment options
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- OpenAI
- Anthropic
- Cohere
Apache Airflow
- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
- Databricks
- Snowflake
- dbt Cloud
- Slack
- Salesforce
- Tableau
- PostgreSQL
- MySQL
- MongoDB
- Redis
- Kubernetes
- Docker
- Apache Spark
- Apache Kafka
- Apache Cassandra
- Apache Flink
- Apache Druid
- Elasticsearch
- Datadog
- Jenkins
- GitHub
- +34 more
LangChain
Leader- Azure OpenAI
- Azure AI Search
- Microsoft Fabric
- Azure Kubernetes Service
- OpaquePrompts
- AWS
- MCP (Model Context Protocol)
Apache Airflow or LangChain: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.