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Google Agent Development Kit vs n8n

Side-by-side comparison of features, pricing, and ratings

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At a glance

DimensionGoogle Agent Development Kitn8n
Best forDevelopers on Google Cloud building production agents with Gemini and Vertex AI, who need built-in evaluation and safety features.Developers and IT ops building workflow automations across 400+ apps, with native AI agent nodes, seeking flexible self-hosted or cloud deployment.
PricingFree open-source framework with no usage limits. No paid tiers; costs come from infrastructure (Vertex AI, Cloud Run) when deployed.Freemium: free self-hosted Community edition; paid cloud plans from $20/mo (5 workflows) to $50/mo (unlimited workflows, sharing). Execution-based pricing.
Setup complexityModerate: Python-based framework requiring familiarity with Python and Google Cloud. Local setup with pip install and adk web UI for testing.Low to moderate: visual drag-and-drop builder with 400+ nodes. Self-hosting requires Docker; cloud is instant. Code nodes allow custom logic when needed.
Strongest differentiatorBuilt-in multi-agent orchestration, evaluation harness, and seamless deployment to Vertex AI — Google’s official agent framework.Visual workflow builder with 400+ pre-built integrations and AI agent nodes, enabling rapid automation across SaaS tools without deep coding.
AI model supportGemini-native with function calling, but model-agnostic via LiteLLM (OpenAI, Anthropic, Ollama, vLLM).Supports OpenAI, Anthropic, Gemini, and LangChain via dedicated AI nodes; HTTP Request node for any API.
Deployment optionsVertex AI Agent Engine, Cloud Run, GKE, or custom Docker. Local dev UI for testing.Self-hosted (Docker, K8s) or n8n cloud. Git version control on self-hosted.

Google Agent Development Kit vs n8n: For developers deeply embedded in Google Cloud building complex multi-agent systems with Gemini and Vertex AI, Google ADK is the clear choice — it offers native orchestration, evaluation, and deployment that n8n cannot match. However, n8n wins for teams needing broad SaaS automation with AI agent capabilities, thanks to its visual builder and 400+ integrations. Choose ADK when your stack is Google-native; choose n8n for heterogeneous tool chains and team members who prefer visual workflow design.

Google Agent Development Kit
Google Agent Development Kit

Google's open-source Python framework for building, evaluating, and deploying AI agents.

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n8n
n8n

Open-source workflow automation with native AI agents

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Pricing
Free
Freemium
Plans
Free
$0
$20/mo
$50/mo
Rating
Popularity
0 views
0 views
Skill Level
Intermediate
Intermediate
API Available
Platforms
APICLI
WebCLI
Categories
💻 Code & Development🤖 Automation & Agents
Features
Agent and tool abstractions (Python)
Multi-agent orchestration (sequential, parallel, loop, custom)
Built-in evaluation harness (criteria, simulation, custom metrics)
Local dev UI (adk web) for run inspection
Gemini-native with function calling
Model-agnostic via LiteLLM adapter
Session and state management with rewind and migrate
Vertex AI Agent Engine deployment
Cloud Run and GKE deployment
Streaming responses
MCP and A2A protocol support
Agent teams and workflow agents (graph-based)
Context caching and compression
Callbacks and event handling
Artifacts and events
Visual workflow builder with instant feedback
400+ pre-built integrations (nodes)
AI agent nodes (OpenAI, Anthropic, Gemini, LangChain)
Code nodes (JavaScript, Python) with npm packages
HTTP Request node for custom API connections
Webhook triggers and event streams
Cron scheduling and manual triggers
Error handling with automatic retries
Human-in-the-loop approvals
Data transformation: merge, loop, filter, aggregate
Expression language (Tournament) for dynamic parameters
Multiple environments (dev/prod) on cloud
Git version control (self-hosted)
Workflow templates (9,500+)
Self-hostable with Docker, full source on GitHub
Integrations
Gemini
Vertex AI
OpenAI
Anthropic
LiteLLM
Cloud Run
GKE
GCS
Apigee AI Gateway
Ollama
vLLM
LiteRT-LM
MCP
A2A Protocol
Google Search Grounding
Google Sheets
Gmail
Slack
Telegram
Google Gemini
Airtable
Google Drive
Microsoft Excel
PostgreSQL
Notion
HTTP Request
Webhook
GitHub

Feature-by-feature

Core capabilities: Google ADK vs n8n

Google ADK is a Python framework for building AI agents with multi-agent orchestration (sequential, parallel, loop, custom), session state management, and built-in evaluation. It provides agent abstractions, tool integration, and deployment directly to Vertex AI. n8n is a visual workflow automation platform with 400+ integrations, allowing drag-and-drop construction of automations with AI steps via dedicated AI nodes (OpenAI, Anthropic, Gemini) and code nodes for custom logic. ADK targets developers writing Python code; n8n targets technical teams who prefer visual building with optional code. Google ADK wins for complex, code-driven multi-agent systems; n8n wins for visual workflow automation across many apps.

AI/model approach: ADK compared to n8n

Google ADK is Gemini-native with deep function calling support but remains model-agnostic via LiteLLM adapters for OpenAI, Anthropic, Ollama, and more. n8n offers dedicated AI agent nodes for major LLMs (OpenAI, Anthropic, Gemini) and LangChain integration, plus an HTTP Request node for any AI API. ADK provides more fine-grained agent architectures (planner/executor, workflow agents) while n8n focuses on integrating AI steps into broader automations. ADK wins for building sophisticated multi-agent AI systems; n8n wins for injecting AI into existing workflows easily.

Integrations & ecosystem: Google ADK vs n8n

Google ADK integrates natively with Google Cloud services (Vertex AI, Cloud Run, GKE, GCS, Apigee AI Gateway, Google Search Grounding) and supports MCP and A2A protocols. n8n offers 400+ pre-built nodes for apps like Google Sheets, Gmail, Slack, Airtable, Notion, and more. ADK’s ecosystem is tightly coupled with Google Cloud; n8n’s is broad and multi-cloud. n8n wins for breadth of integrations across SaaS tools; ADK wins for depth within Google Cloud.

Performance & scale

Google ADK can deploy agents to Vertex AI Agent Engine and Cloud Run, leveraging Google’s infrastructure for auto-scaling and low latency. It supports streaming responses and context caching for performance. n8n self-hosted can scale horizontally with Docker/K8s, but performance depends on infrastructure. Execution-based pricing means high-volume workflows may incur costs. vn8n scales well for typical automation workloads; ADK is designed for production AI agents on Google Cloud. ADK wins for large-scale AI agent deployments; n8n wins for moderate automation workloads.

Developer experience

Google ADK provides a Python API, local dev UI (adk web), and evaluation harness. Developers write agents in Python, test locally, then deploy with minimal changes. n8n offers a visual builder with drag-and-drop, making it easier for non-engineers and teams that prefer graphical design. Both support Git version control (n8n on self-hosted; ADK via code repos). n8n wins for low-code visual development; ADK wins for Python developers wanting full control and built-in evaluation.

Pricing compared

Google ADK pricing (2026)

Google ADK is open-source and free to use under Apache 2.0 license. There are no paid tiers or usage limits for the framework itself. However, when deploying to Google Cloud infrastructure (Vertex AI Agent Engine, Cloud Run, GKE), you pay for underlying compute and services. There are no hidden costs or overage fees from ADK — it's a free tool. Vendor docs confirm the free open-source nature.

n8n pricing (2026)

n8n offers a freemium model:

  • Community (self-hosted): Free, unlimited workflows, full features including AI nodes.
  • Starter ($20/mo): Cloud hosted, 5 workflows.
  • Pro ($50/mo): Cloud hosted, unlimited workflows, sharing. Pricing is based on workflow executions, not steps or users. For self-hosted users, the Community edition is fully featured at $0. Cloud plans have workflow limits and sharing features. Enterprise pricing is available on request. n8n is a cost-effective alternative to Zapier/Make for technical teams. n8n pricing page details current tiers as of 2026.

Value-per-dollar: Google ADK vs n8n

Google ADK is free as a framework, but deployment costs on Google Cloud can add up. n8n’s Community edition is also free for self-hosted use, making both tools low-cost entry points. For teams already on Google Cloud, ADK is a no-brainer. For teams needing broad integrations and visual building, n8n’s Pro plan at $50/mo with unlimited workflows is strong value. The winner depends on your stack: ADK is free if you’re on Google Cloud; n8n wins for multi-cloud workflows.

Who should pick which

  • Small startup building a multi-agent system on Google Cloud
    Pick: Google Agent Development Kit

    Google ADK provides native Gemini integration, multi-agent orchestration, and seamless Vertex AI deployment — all free as a framework, with pay-as-you-go cloud costs.

  • IT Ops team automating onboarding across SaaS tools
    Pick: n8n

    n8n's 400+ integrations (Slack, Gmail, Google Sheets) and visual builder enable rapid automation without coding. Self-hosted Community edition is free and unlimited.

  • Developer prototyping an AI agent with RAG over internal docs
    Pick: n8n

    n8n's AI agent nodes and RAG capabilities, combined with pre-built nodes for databases and document stores, make it quick to build a functional prototype.

  • Large enterprise deploying production agents with evaluation requirements
    Pick: Google Agent Development Kit

    Google ADK includes a built-in evaluation harness with criteria and simulation, essential for production-grade agent testing and compliance.

  • Startup replacing Zapier with a lower-cost, self-hosted solution
    Pick: n8n

    n8n's Community edition is free and self-hosted, with unlimited workflows and AI capabilities, directly competing with Zapier's per-execution pricing.

Frequently Asked Questions

Is Google ADK free to use?

Yes, Google ADK is completely free and open-source. You only pay for the Google Cloud infrastructure (Vertex AI, Cloud Run, etc.) if you deploy there.

Does n8n have a free tier?

Yes, n8n has a free Community edition that you self-host. It includes all features, unlimited workflows, and AI agent nodes.

Can I use Google ADK with models other than Gemini?

Yes, through the LiteLLM adapter, Google ADK supports OpenAI, Anthropic, Ollama, vLLM, and more.

Which tool is easier for non-developers?

n8n is more accessible for non-developers thanks to its visual drag-and-drop builder. Google ADK requires Python coding skills.

Can I migrate from n8n to Google ADK?

It depends. If your automations are heavily tied to n8n's visual nodes and 400+ integrations, migration to Google ADK would require rewriting agents in Python. For simple AI tasks, manual migration is feasible.

Does Google ADK support multi-agent orchestration?

Yes, Google ADK has built-in multi-agent orchestration with sequential, parallel, loop, and custom graph-based workflows.

Can n8n connect to Google Cloud services?

Yes, n8n has native nodes for Google Sheets, Gmail, Google Drive, and more, plus HTTP Request node for any API.

Which tool is better for self-hosting?

Both support self-hosting. Google ADK can be deployed via Docker, while n8n has extensive Docker/K8s support and a large community.

Last reviewed: May 12, 2026