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Semantic Kernel vs Google ADK
Side-by-side comparison of Semantic Kernel and Google ADK — features, pricing, performance scores, and which to choose for your AI agents.
View All Framework ComparisonsQuick Verdict
| Dimension | Semantic Kernel | Google ADK | Winner |
|---|---|---|---|
Ease of Use | 4/5 | 4/5 | Tie |
Scalability | 4/5 | 4/5 | Tie |
Documentation | 4/5 | 4/5 | Tie |
Community | 4/5 | 3/5 | Semantic Kernel |
Performance | 4/5 | 4/5 | Tie |
Overall: Semantic Kernel wins 1 categories, Google ADK wins 0, 4 tied
Feature Comparison
| Feature | Semantic Kernel | Google ADK |
|---|---|---|
| Primary Language | C# | Python |
| License | MIT | Apache-2.0 |
| Pricing | Open Source | Open Source + Cloud |
| GitHub Stars | 26,300 | 7,500 |
| Difficulty | Intermediate | Intermediate |
| Enterprise Ready | ||
| Community Size | Large | Medium |
| Category | Enterprise Integration | Multi-Agent Systems |
Pros & Cons
Semantic Kernel
Advantages
Strong Microsoft ecosystem integration
Multi-language support (C# Python Java)
Enterprise-grade quality and support
Good for .NET developers
Plugin architecture is flexible
MIT license
Limitations
Optimized primarily for Azure ecosystem
Less community adoption than LangChain
Documentation can be overwhelming
C# focus may alienate Python-first developers
Smaller integration ecosystem
Google ADK
Advantages
Official Google framework
Vertex AI integration
Developer UI and CLI tools
Apache 2.0 license
Built-in evaluation utilities
Limitations
Optimized for Google ecosystem
Smaller community
Documentation could be better
Requires GCP for full benefits
Best Use Cases
Semantic Kernel
Enterprise application integration
Plugin-based AI systems
Multi-language AI applications
Microsoft ecosystem integration
Enterprise chatbots and assistants
Google ADK
Multi-agent GCP applications
Vertex AI-powered agents
Enterprise Google Cloud workflows
Tool-integrated agent systems
Getting Started
Semantic Kernel
Installation
Install via NuGet or pip
Google ADK
Installation
pip install google-adk
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