Amazon Bedrock Alternatives

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. Portkey

4.6

Portkey has been a crucial part of our success with LLM observability, guardrails, and cost management. The Portkey team has also been there every step of the way to make sure our implementation was successful and met our needs. Not only was the implementation smooth, but if we did find ourselves with questions, the Portkey team was very responsive and eager to help support us. Now that we are in production with Portkey we are seeing the true value of the product for not only our original needs (LLM observability, guardrails, and cost management), but also for other aspects such as model agnostic development and analytic insights to how the application is being used by users.Read all insights and reviews for Portkey

Where Amazon Bedrock Scored Higher

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2. Databricks Data Intelligence Platform

4.7

Mosaic AI covers the whole spectrum of GenAI/AI engineering space, from development to deployment, with monitoring, observability, guardrails and scoring system.Read all insights and reviews for Databricks Data Intelligence Platform

Where Amazon Bedrock Scored Higher

Better at service and support
Easier to integrate and deploy
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3. TrueFoundry AI Platform

4.7

Our main use of TrueFoundry is as a managed Kubernetes, finding a perfect balance between pre-defined behavior (pre-installed applications, good default settings, ...) and customization. This will suit the needs of most ML teams: technical people who are not interested in learning the intricate details of Kubernetes. We also use the AI gateway. It allowed us to simplify our LLM calls and observability (we make calls to Gemini, OpenAI models, and open source models through the same interface).Read all insights and reviews for TrueFoundry AI Platform

Where Amazon Bedrock Scored Higher

Easier to integrate and deploy

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4. Vespa

5

The Vespa team is extremely responsive and very pleasant to work with. We got immediate access to high-level people in the company and we had a regular weekly meeting with the rep who was extremely well-versed in Vespa and its deployment and typical customer concerns and was often able to debug things by just asking a few questions and most of the time his guesses were spot-on. He als checked-in on critical deployments at times over the weekend. We really felt well cared-for in the whole experience.Read all insights and reviews for Vespa

Where Amazon Bedrock Scored Higher

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5. Elastic Search

4.6

The product has a best in class text search and a very strong vector database. Enterprise support and account managers have been top notch.Read all insights and reviews for Elastic Search

Where Amazon Bedrock Scored Higher

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6. SAS Viya

By SAS

4.5

SAS Viya offers a robust and secure platform for generative AI engineering, especially in structured data environments. It excels in scalability, governance and integration with enterprise systems.Read all insights and reviews for SAS Viya

Where Amazon Bedrock Scored Higher

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7. Microsoft Copilot Studio

4.4

- Ease of building custom copilots with a drag and drop interface and low code / no code approach. - Seamless integration with Microsoft products makes it easy. - While simple bots are easy, complex workflows can get tricky. - Sometimes AI responses might feel slow.Read all insights and reviews for Microsoft Copilot Studio

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Better at service and support
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8. NVIDIA DGX Cloud

4.4

NVIDIA DGX Cloud provides high-performance cloud computing resources for machine learning, deep learning, data science and AI tasks. The DGX is scalable and provides a cloud environment to train large models efficiently. Read all insights and reviews for NVIDIA DGX Cloud

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