Amazon Bedrock Alternatives

4.6(50 Ratings)

Considering alternatives to Amazon Bedrock? See what this market Amazon Bedrock users also considered in their purchasing decision. When evaluating different solutions, potential buyers compare competencies in categories such as evaluation and contracting, integration and deployment, service and support, and specific product capabilities.

Check out real reviews verified by Gartner to see how Amazon Bedrock compares to its competitors and find the best software or service for your organization.

Reviewed in Last 12 Months

How Alternatives Are Selected

1. Amazon SageMaker

By Amazon Web Services (AWS)

4.4

I like Sagemaker because it does most of the heavylifting of ML infrastructure & allowing me to focus on other important things.Read all insights and reviews for Amazon SageMaker

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2. Amazon Q Business

By Amazon Web Services (AWS)

4.7

it is easy and seamless. the experience has really helped me be a great developer. Read all insights and reviews for Amazon Q Business

Where Amazon Bedrock Scored Higher

Better at service and support
Easier to integrate and deploy
Better evaluation and contracting

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3. Vertex AI

4.5

Vertex AI has completely changed the game when it comes to development and project completion.Read all insights and reviews for Vertex AI

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Better evaluation and contracting

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4. Azure AI Foundry

5

It is very easy to create an AI agent and connect it to our organization's data to perform RAG that enhances the knowledge of the chosen LLM.Read all insights and reviews for Azure AI Foundry

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Better at service and support
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5. LangChain

5

Excellent framework for building LLM applications with great chain composition and model integration capabilities Read all insights and reviews for LangChain

Where Amazon Bedrock Scored Higher

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6. LangSmith

5

Great LLM tracing tool that works really well with our LangChain setup.Read all insights and reviews for LangSmith

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7. LangGraph

4

My experience with langgraph framework to develop multi-agent system is generally good. The positive aspects are 1)good debugging/test evaluation tools 2)suitable for enterprise genAI app with ready for production agents development 3) possible for the complex abd adaptive workflows with graph based architecture. but with main challenges like 1) potential infinity loops with the sub agents 2)lacking the security interventions Read all insights and reviews for LangGraph

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