--- title: AWS Bedrock Reviews meta_title: 'AWS Bedrock Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 76 reviews by the users' company size, role or industry to find out how AWS Bedrock works for a business like yours. aggregate_rating: rating_value: 4.3 review_count: 76 scale: '5' date_modified: '2026-07-30' parent_category: name: Generative AI url: https://www.g2.com/categories/generative-ai --- # AWS Bedrock Reviews **Vendor:** Amazon Web Services (AWS) **Category:** [Generative AI Infrastructure Software](https://www.g2.com/categories/generative-ai-infrastructure) **Average Rating:** 4.3/5.0 **Total Reviews:** 76 ## About AWS Bedrock Amazon Bedrock is a fully managed service that enables organizations to build and scale generative AI applications using foundation models (FMs) from leading AI companies and Amazon. It provides a unified API to access a diverse selection of high-performing FMs, allowing users to experiment, customize, and deploy AI solutions without managing infrastructure. With Amazon Bedrock, businesses can create personalized experiences, automate workflows, and derive actionable insights, all while maintaining security, privacy, and compliance standards. Key Features and Functionality: - Model Choice: Access a wide range of FMs from top AI providers, enabling selection of the most suitable model for specific use cases. - Agent Development: Utilize Amazon Bedrock AgentCore to build, deploy, and operate AI agents securely at scale, facilitating complex task automation. - Customization: Tailor models with proprietary data using tools like Knowledge Bases, Data Automation, prompt engineering, and fine-tuning to enhance relevance and accuracy. - Safety and Guardrails: Implement safeguards with Bedrock Guardrails to filter harmful content and ensure responsible AI usage, supporting compliance with industry standards. - Cost Optimization: Optimize performance and expenses through features like Model Distillation and Intelligent Prompt Routing, balancing cost, latency, and accuracy. Primary Value and Solutions Provided: Amazon Bedrock empowers organizations to rapidly develop and deploy generative AI applications without the complexities of infrastructure management. By offering a diverse selection of foundation models and comprehensive customization tools, it enables businesses to create AI solutions tailored to their unique needs. The platform's robust security measures and compliance support ensure that applications are built responsibly, addressing concerns around data privacy and ethical AI usage. Ultimately, Amazon Bedrock facilitates innovation, enhances operational efficiency, and drives real business impact through scalable and secure AI integration. ## AWS Bedrock Pros & Cons **What users like:** - Users find AWS Bedrock's **ease of use** invaluable, especially with its unified API and serverless architecture. (17 reviews) - Users value the **variety of models** in AWS Bedrock, enabling tailored solutions for diverse use cases. (14 reviews) - Users appreciate the **easy integrations** of AWS Bedrock, making it simple to switch models and streamline workflows. (11 reviews) - Users value the **ease of use and security** of AWS Bedrock, enhancing inspiration and productivity in generative AI applications. (9 reviews) - Users value the **unified API** of AWS Bedrock, enabling seamless model switching and easy integrations within AWS. (8 reviews) - Users appreciate the **unified API and seamless integration** of AWS Bedrock, simplifying access to various models and services. (6 reviews) - Customization (6 reviews) - Users value the **ease of AI integration** with AWS Bedrock, benefiting from its fully managed, scalable services. (5 reviews) - Users appreciate the **deployment ease** of AWS Bedrock, simplifying the integration of generative AI into their business operations. (5 reviews) - Pricing (4 reviews) **What users dislike:** - Users find AWS Bedrock **expensive** , especially for large-scale operations and niche applications requiring extensive customization. (22 reviews) - Users find the **complexity issues** of AWS Bedrock challenging, especially for newcomers and niche use cases. (9 reviews) - Users face **model issues** with AWS Bedrock, including high costs and limited availability of popular models. (7 reviews) - Users find the **steep learning curve** of AWS Bedrock challenging, particularly for those new to AWS services. (6 reviews) - Users express frustration over the **limited access** to models in AWS Bedrock, impacting customization and availability. (5 reviews) - Users face **missing features** on AWS Bedrock, such as limited model availability, high costs, and regional restrictions. (3 reviews) - Poor Documentation (3 reviews) - Users find the **complexity of AWS Bedrock** challenging, particularly in understanding pricing and adapting to its ecosystem. (2 reviews) - Limited Customization (2 reviews) - Limited Flexibility (2 reviews) ## AWS Bedrock Reviews ### 1. Can be useful! **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** May 09, 2025 **What do you like best about AWS Bedrock?** AWS Bedrock is great for inspiration and driving production to be easier. It feels secure to use as well. **What do you dislike about AWS Bedrock?** Had a bit of trouble with customizing private models, but that's it. **What problems is AWS Bedrock solving and how is that benefiting you?** It was wonderful at handling internal infrastructures and pipelines. I like that I could be hands-off. ### 2. Easy and versatile for many use cases **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Online Media | Mid-Market (51-1000 emp.) **Reviewed Date:** May 11, 2025 **What do you like best about AWS Bedrock?** I like how Bedrock offers different model all under one single roof. **What do you dislike about AWS Bedrock?** Sometimes the cost of a few models were expensive to use and test **What problems is AWS Bedrock solving and how is that benefiting you?** Bedrock has helped us build GenAI features that enhanced customer workflows and saved time. ### 3. I’ve used it for creating a RAG model. **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** May 05, 2025 **What do you like best about AWS Bedrock?** Everything is provided on the same platform. **What do you dislike about AWS Bedrock?** It is not as smooth as I expected compared to other platforms. **What problems is AWS Bedrock solving and how is that benefiting you?** It makes it easy to use top AI models without managing infrastructure, so I can build RAG apps faster and more flexibly. ### 4. Bedrock is a great way to integrate AI services into your existing amazon infra **Rating:** 4.5/5.0 stars **Reviewed by:** Jeremy L. | CTO, Small-Business (50 or fewer emp.) **Reviewed Date:** October 24, 2024 **What do you like best about AWS Bedrock?** Bedrock is a great way to integrate AI services into your existing amazon infrastructure **What do you dislike about AWS Bedrock?** As new models and features become available in the third party LLM, they are often not available on Bedrock right away **What problems is AWS Bedrock solving and how is that benefiting you?** Bedrock allows us to have a common interface while enabling the use of multiple LLM providers and also makes integration into existing AWS services much easier ### 5. Easiest way to build Generative AI apps **Rating:** 5.0/5.0 stars **Reviewed by:** Ronak M. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 11, 2024 **What do you like best about AWS Bedrock?** Amazon Bedrock offers single API with access to high perorming foundation models like Stability AI, Mistral AI and many other providers. Instead of playing around each API seperately, you can integrate and fine tune your models easily with AWS Bedrock **What do you dislike about AWS Bedrock?** AWS Bedrock can be little expensive, compared to using the foundation models directly, but saves a lot of effort on managing models indivdually. **What problems is AWS Bedrock solving and how is that benefiting you?** AWS Bedrock offers managed services of multiple foundation models, we can build generative AI Apps on the top these models, with little finetuning. ### 6. Usage review of AWS Bedrock **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Electrical/Electronic Manufacturing | Enterprise (> 1000 emp.) **Reviewed Date:** October 20, 2024 **What do you like best about AWS Bedrock?** The best part of using services of AWS Bedrock is availablity of different models. Since its fully managed, and we using Llama, its a total saviour to use a service which manages everything. **What do you dislike about AWS Bedrock?** The finetune is not aavaialable. For that againt we have to use sagemaker. The back and forth of using different service gives a little friction and everything cant be done in one place. **What problems is AWS Bedrock solving and how is that benefiting you?** Since Meta models are open source and they directly dont have any API, so to use these models we have to either self host or find a service which does it. But since Bedrock already have these available, we can only focus on the core development side and not on the expensive and complicated hosting part. ### 7. Used bedrock for retrieval system **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** May 07, 2025 **What do you like best about AWS Bedrock?** Easy retrieval with bedrock based on embedding. **What do you dislike about AWS Bedrock?** Reranking might be needed after the retrieval. **What problems is AWS Bedrock solving and how is that benefiting you?** retrieve the most relevant documents. ### 8. bedrock a boon for ai developers **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** October 15, 2024 **What do you like best about AWS Bedrock?** wide variety of models by various leading AI companies are available. User can specifically choose a model and use it simply. **What do you dislike about AWS Bedrock?** Still few popular models like Open AI's GPT are not available. Cost of using these models is too high. Models have limitations for tokens. **What problems is AWS Bedrock solving and how is that benefiting you?** Without bedrock switching from one model to another model by different company is a pain but by using aws bedrock we can find most of the popular models in one place. ### 9. Application that allows developers to build and scale generative AI applications **Rating:** 5.0/5.0 stars **Reviewed by:** Prashant T. | Cloud Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** October 22, 2024 **What do you like best about AWS Bedrock?** Without needing to manage infrastructure, Aws bedrock provides different AI models for day to day activities. **What do you dislike about AWS Bedrock?** It is expensive for large scale operations. **What problems is AWS Bedrock solving and how is that benefiting you?** It simplifying the development operations easily ### 10. Feature of AWS **Rating:** 4.5/5.0 stars **Reviewed by:** Sushil K. | Data Scientist, Enterprise (> 1000 emp.) **Reviewed Date:** October 20, 2024 **What do you like best about AWS Bedrock?** AWS Bedrock is quite impressive for its ability to simplify the process of building and deploying machine learning applications. **What do you dislike about AWS Bedrock?** One of the potential downsides of AWS Bedrock is that it can be complex for newcomers, especially those who are not familiar with the broader AWS ecosystem. **What problems is AWS Bedrock solving and how is that benefiting you?** AWS Bedrock addresses several key challenges in the AI and machine learning space. ### 11. Only tool that helps release headache of AI developers in case of resource and Money **Rating:** 5.0/5.0 stars **Reviewed by:** DEO S. | Junior Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 04, 2024 **What do you like best about AWS Bedrock?** Wide range of foundation models, Ease of Setup , how easy is this to implement **What do you dislike about AWS Bedrock?** Cost is not that good, Young developers will find this more costly **What problems is AWS Bedrock solving and how is that benefiting you?** We are utilizing AWS managed services for model tuning and training. ### 12. Aws bedrock, best in class for GenAI **Rating:** 4.5/5.0 stars **Reviewed by:** Ayush B. | Senior Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** October 22, 2024 **What do you like best about AWS Bedrock?** AWS bedrock is the latest tool for generative AI application. It uses foundation models. It provides latest genAI tools with assurity of Amazon **What do you dislike about AWS Bedrock?** Pricing of Aws bedrock is more. But if you want to use genAI with the assurance of amazon then use this **What problems is AWS Bedrock solving and how is that benefiting you?** Fast, reliable and support is good ### 13. AI Development with AWS Bedrock **Rating:** 4.0/5.0 stars **Reviewed by:** Ashwin S. | senior Project Manager, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** October 28, 2024 **What do you like best about AWS Bedrock?** its seamless integration with the AWS ecosystem, allowing for a smooth workflow when building and deploying machine learning applications **What do you dislike about AWS Bedrock?** complexity of its pricing structure. It requires careful planning to estimate costs accurately, which may lead to unexpected expenses **What problems is AWS Bedrock solving and how is that benefiting you?** Complexity of Model Training, Scalability Issues, Integration Challenges ### 14. AWS Bedrock: Gen AI models at your fingertips **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Education Management | Enterprise (> 1000 emp.) **Reviewed Date:** October 10, 2024 **What do you like best about AWS Bedrock?** Most powerful foundation models are available and it is easy to use them **What do you dislike about AWS Bedrock?** IAM verifications and security settings meed to be done before you can start building your solution. **What problems is AWS Bedrock solving and how is that benefiting you?** We are creating agents in Bedrock to automate our workflows. We are creating innovative use ases of generative AI with Bedrock models and services. ### 15. Bedrock gets you up and running very fast **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Mid-Market (51-1000 emp.) **Reviewed Date:** October 10, 2024 **What do you like best about AWS Bedrock?** You can upload the docs, create a knowledge base and point a model at it to start working on it. Its very easy to get started. The interface and steps are clear and you can have it working for almost all the cases you want to work with your workflow, other tools. **What do you dislike about AWS Bedrock?** There will be a case where you will need a better answer, you might need to finetune few things, and it becomes harder for those. **What problems is AWS Bedrock solving and how is that benefiting you?** Working on knowledge gathering on the documents. ### 16. I have enjoyed experience quite a lot with AWS Bedrock but it still faces some issues at times. **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Mid-Market (51-1000 emp.) **Reviewed Date:** September 14, 2024 **What do you like best about AWS Bedrock?** What I like best is that it seamlessly integrates with other AWS services. It therefore works efficiently with the broader AWS ecosystem, making such tasks as more easily set-up and deploy machine learning models. Automation of infrastructure management helps quicken the speed of development with reduced manual effort. **What do you dislike about AWS Bedrock?** Sometimes, scalability and its integration with performance creates problems in production and at complex models. Still, the service is generally reliable, but some improvements in documentation and community support could ease these infrequent issues of diagnosis quickly enough. **What problems is AWS Bedrock solving and how is that benefiting you?** The information is confidaincal . ### 17. Review of 8months user **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Enterprise (> 1000 emp.) **Reviewed Date:** October 10, 2024 **What do you like best about AWS Bedrock?** Since the other pipelines are there in AWS, it is easy for me to connect it to bed rock. It allows me to experiment with the foundation models available. **What do you dislike about AWS Bedrock?** The pricing model looks a little complex **What problems is AWS Bedrock solving and how is that benefiting you?** It helps me to create llm driven applications with ease. ### 18. A Game-Changer for Generative AI on AWS? **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** September 19, 2024 **What do you like best about AWS Bedrock?** Simplified Access to Generative AI Models Fully Managed Service Customizability without Deep Learning Expertise Seamless Integration with AWS Ecosystem Pay-as-You-Go Pricing Model **What do you dislike about AWS Bedrock?** Currently Limited Model Selection Cost for Large-Scale Use **What problems is AWS Bedrock solving and how is that benefiting you?** Complex AI Infrastructure Management Access to Cutting-Edge AI Models Customizing AI Models for Specific Use Cases Accelerating AI-Driven Innovation Scalability and Reliability ### 19. Developers dream of an AI world **Rating:** 4.5/5.0 stars **Reviewed by:** nityam shah S. | Senior Talent Acquisition Specialist, Mid-Market (51-1000 emp.) **Reviewed Date:** October 10, 2024 **What do you like best about AWS Bedrock?** Their foundation models and customization have a very simplified approach. **What do you dislike about AWS Bedrock?** Support is sometimes needed due to heavy crowds and reliability issues. **What problems is AWS Bedrock solving and how is that benefiting you?** for me it becomes very easy to create AI generative applications, then making content also became very easy ### 20. Secure and Reliable **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** October 23, 2024 **What do you like best about AWS Bedrock?** Enhance security Helps to boost storage without any extra pay Useful in Enterprise Applications **What do you dislike about AWS Bedrock?** It is good nothing is bad although sometimes due to bad network connectivity it's become slow. **What problems is AWS Bedrock solving and how is that benefiting you?** It is flexible we don't have to switch between many platforms Useful in many web applications Enhances the security Allows deployment on various cloud providers at less cost. ### 21. AWS Bedrock review **Rating:** 5.0/5.0 stars **Reviewed by:** Aditya K. | Software Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 01, 2024 **What do you like best about AWS Bedrock?** Perfect platform to play with LLMs and embeddings and to create own AI based application easily. **What do you dislike about AWS Bedrock?** AWS Bedrock should add more language models also a proper implementation of guardraills. **What problems is AWS Bedrock solving and how is that benefiting you?** Providing a great platform for playing with heavy LLM models. ### 22. Best way to get started with gen-ai usecases **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Retail | Small-Business (50 or fewer emp.) **Reviewed Date:** May 07, 2024 **What do you like best about AWS Bedrock?** - Amazon Bedrock ensures seamless scalability, enabling businesses to effortlessly expand their infrastructure in line with evolving demands. - Its flexibility empowers developers with a diverse array of services and tools to tailor their applications to specific needs, optimizing performance. - latest open source models like cluade are available on a timely fashion **What do you dislike about AWS Bedrock?** - Development workflow need to be better working with aws bedrock **What problems is AWS Bedrock solving and how is that benefiting you?** - Quickly create gen ai poc and deploy production grade uses cases - We have used it for poc like product description generation, user review summarisation etc ### 23. AWS Bedrock - A service with Generative power **Rating:** 4.0/5.0 stars **Reviewed by:** Aditya S. | Manager- Data Science & AI, Enterprise (> 1000 emp.) **Reviewed Date:** January 03, 2024 **What do you like best about AWS Bedrock?** Its wide range of Foundation Model to cater varieties of Gen AI applications. The documentation is also easy which help us to develop the Gen AI applications easiliy.AWS also provide security and compliance which creates possitive reputation among the users. **What do you dislike about AWS Bedrock?** I do not see much issue with the Bedrock except when you want to fine tune the model with custom data, it would be little expensive. **What problems is AWS Bedrock solving and how is that benefiting you?** AWS bedrock aims to solve problems such as Generating and summarizing contents, create new images. I am currently working on a POC to build document summarization using AWS Bedrock Titan Text Generation foundation model. ### 24. Best Serverless tool to fine tune your data **Rating:** 5.0/5.0 stars **Reviewed by:** Rohit S. | Principal Techincal Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** June 07, 2024 **What do you like best about AWS Bedrock?** 1. You no need to manage infrastructure 2. Best tool to analysis data for more fine tunning 3. Can integrate your AI generative apps **What do you dislike about AWS Bedrock?** For first time user it can be more confusion **What problems is AWS Bedrock solving and how is that benefiting you?** Main reason to use AWS Bedrock is we as organization do not want to spend on infrastructure so bedrock as serverless service very much benefiting us ### 25. Makes building Gen Ai solutions easier **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** June 11, 2024 **What do you like best about AWS Bedrock?** It reduces the amount of code we have to write for creating embeddings while working on RAG or other GEN AI solutions . It also has range of models to choose from **What do you dislike about AWS Bedrock?** Cost of using models which might hinder experimenting with new solutions **What problems is AWS Bedrock solving and how is that benefiting you?** If we have to run all these models in our local servers we will need costly GPUs . With bedrock we can leverage their cloud infrastructure . Also it has so many features like transcribing agent and chat with documents which accelerates the process of building GEN AI solutions ### 26. Aws BedRock Services is very affective **Rating:** 4.0/5.0 stars **Reviewed by:** Waleed Ashraf U. | Assistant Product Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** May 20, 2024 **What do you like best about AWS Bedrock?** AWS Bedrock is a compelling service for a variety of reasons, especially for businesses and developers looking to leverage the power of generative AI. **What do you dislike about AWS Bedrock?** Cost Management Complex Limited Model Selection **What problems is AWS Bedrock solving and how is that benefiting you?** AWS Bedrock addresses several key challenges in the adoption and deployment of generative AI, providing significant benefits to users - [View AWS Bedrock pricing details and edition comparison](https://www.g2.com/products/aws-bedrock/reviews?page=2§ion=pricing&secure%5Bexpires_at%5D=2026-08-02+12%3A21%3A19+-0500&secure%5Bsession_id%5D=c5752e05-a06c-486d-acfb-68c90bde7bd7&secure%5Btoken%5D=4d1a59f05ec32c9f9c51511f4a2a84a30f6c77cb18f37500a247fec105e5e022&format=llm_user) ## AWS Bedrock Integrations - [Amazon API Gateway](https://www.g2.com/products/amazon-api-gateway/reviews) - [Amazon Elastic Container Service (Amazon ECS)](https://www.g2.com/products/amazon-elastic-container-service-amazon-ecs/reviews) - [Amazon OpenSearch Service](https://www.g2.com/products/amazon-opensearch-service/reviews) - [Amazon S3 Glacier](https://www.g2.com/products/amazon-s3-glacier/reviews) - [AWS Lambda](https://www.g2.com/products/aws-lambda/reviews) - [BigSpring AI](https://www.g2.com/products/bigspring-ai/reviews) - [Claude Code](https://www.g2.com/products/anthropic-claude-code/reviews) - [Elastic Stack](https://www.g2.com/products/elastic-stack/reviews) - [Microsoft Teams](https://www.g2.com/products/microsoft-teams/reviews) - [Pinecone](https://www.g2.com/products/pinecone/reviews) - [RagMetrics](https://www.g2.com/products/ragmetrics/reviews) - [ServiceNow IT Service Management](https://www.g2.com/products/servicenow-it-service-management/reviews) ## AWS Bedrock Features **Scalability and Performance - Generative AI Infrastructure** - AI High Availability - AI Model Training Scalability - AI Inference Speed **Prompt Engineering - Large Language Model Operationalization (LLMOps) ** - Prompt Optimization Tools - Template Library **Inference Optimization - Large Language Model Operationalization (LLMOps)** - Batch Processing Support **Customization - AI Agent Builders** - Natural Language Configuration - Tone Customization - Security Guardrails **Cost and Efficiency - Generative AI Infrastructure** - AI Cost per API Call - AI Resource Allocation Flexibility - AI Energy Efficiency **Model Garden - Large Language Model Operationalization (LLMOps)** - Model Comparison Dashboard **Functionality - AI Agent Builders** - Omni-channel Support - Agent Branding - Proactive Response Capabilities - Seamless Human Escalation **Integration and Extensibility - Generative AI Infrastructure** - AI Multi-cloud Support - AI Data Pipeline Integration - AI API Support and Flexibility **Custom Training - Large Language Model Operationalization (LLMOps)** - Fine-Tuning Interface **Data and Analytics - AI Agent Builders** - Analytics & Reporting - Contextual Awareness - Data Privacy Compliance **Security and Compliance - Generative AI Infrastructure** - AI GDPR and Regulatory Compliance - AI Role-based Access Control - AI Data Encryption **Application Development - Large Language Model Operationalization (LLMOps) ** - SDK & API Integrations **Integration - AI Agent Builders** - Workflow Automation - API Usage - Platform Interoperability - CRM Data Integration **Usability and Support - Generative AI Infrastructure** - AI Documentation Quality - AI Community Activity **Model Deployment - Large Language Model Operationalization (LLMOps) ** - One-Click Deployment - Scalability Management **Guardrails - Large Language Model Operationalization (LLMOps)** - Content Moderation Rules - Policy Compliance Checker **Model Monitoring - Large Language Model Operationalization (LLMOps)** - Drift Detection Alerts - Real-Time Performance Metrics **Security - Large Language Model Operationalization (LLMOps)** - Data Encryption Tools - Access Control Management **Gateways & Routers - Large Language Model Operationalization (LLMOps)** - Request Routing Optimization ## Top AWS Bedrock Alternatives - [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) - 4.3/5.0 (654 reviews) - [IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews) - 4.4/5.0 (137 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,328 reviews)