Google ADK vs Langflow
Detailed side-by-side comparison to help you choose the right tool
Google ADK
🔴DeveloperAgent framework
Google’s development kit for constructing, evaluating, and deploying modular AI agents.
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Starting Price
FreeLangflow
🟡Low CodeAgent Framework
Low-code visual builder for agentic and RAG applications — drag-and-drop nodes to compose LLMs, vector DBs, tools, and MCP servers into deployable AI apps.
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FreeFeature Comparison
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Google ADK - Pros & Cons
Pros
- ✓Code-first abstractions support versioning and testable agent behavior
- ✓Evaluation and deployment workflows address more than prompt prototyping
- ✓Natural fit for teams already using Gemini and Google Cloud
Cons
- ✗Requires software engineering skills and operational ownership
- ✗End-to-end cost depends on separate model and cloud services
- ✗Deep Google integration may reduce portability to other stacks
Langflow - Pros & Cons
Pros
- ✓Visual graphs make model, tool, prompt, and retrieval wiring inspectable
- ✓Supports OpenAI, Anthropic, Google, Mistral, Groq, Ollama, and others
- ✓Integrates with Pinecone, Weaviate, Chroma, Milvus, and Astra
- ✓MCP and REST exposure make flows reusable by other applications
Cons
- ✗Large visual graphs can become difficult to review and version
- ✗Production deployments still need authentication, tracing, retries, and scaling
- ✗Provider integrations may expose different feature depth and upgrade cadence
- ✗Hosted pricing and support boundaries require manual verification
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