# Gemini Enterprise Agent Platform Reviews **Vendor:** Google **Category:** [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) **Average Rating:** 4.3/5.0 **Total Reviews:** 658 ## About Gemini Enterprise Agent Platform Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection. ## Gemini Enterprise Agent Platform Pros & Cons **What users like:** - Users appreciate the **ease of use** of Gemini Enterprise Agent Platform, finding it intuitive and beginner-friendly. (162 reviews) - Users value the **multimodal capabilities** of Gemini, enhancing productivity in software development and automation tasks. (114 reviews) - Users appreciate the **multimodal capabilities** of Gemini, enhancing productivity in software development and automation projects. (109 reviews) - Users appreciate the **multimodal capabilities** of Gemini, enhancing productivity by seamlessly integrating various data forms. (104 reviews) - Users value the **easy integrations** in Gemini Enterprise Agent Platform, enhancing their workflow and data handling efficiency. (84 reviews) - Integrated Platform (84 reviews) - Users appreciate the **seamless AI integration** of Vertex AI, streamlining the entire machine learning workflow efficiently. (83 reviews) - Users appreciate the **easy integration** of Vertex AI, making it simple to implement and enhance their projects. (83 reviews) - Model Management (79 reviews) - AI Capabilities (74 reviews) **What users dislike:** - Users feel that the **pricing is too expensive** compared to alternatives, impacting overall satisfaction with the platform. (75 reviews) - Users find the **learning curve steep** with Gemini Enterprise Agent, overwhelmed by its many components and complexities. (63 reviews) - Users find the **pricing structure overly complex** , making it challenging to understand costs compared to competitors. (62 reviews) - Users often find the **pricing complexity** overwhelming, making it difficult to understand costs compared to competitors. (58 reviews) - Users find the **difficult learning** curve challenging due to the complexity of components in the Gemini Enterprise Agent Platform. (47 reviews) - Poor Documentation (34 reviews) - Cost (31 reviews) - Difficult Setup (31 reviews) - Users find the **steep learning curve** of Vertex AI challenging, especially if lacking machine learning experience. (31 reviews) - Lack of Guidance (28 reviews) ## Gemini Enterprise Agent Platform Reviews ### 1. I used Vertex AI for around 5-6 month and I feels It does the task but it need many improvements. **Rating:** 2.0/5.0 stars **Reviewed by:** Kamran S. | Staffing and Recruiting, Mid-Market (51-1000 emp.) **Reviewed Date:** January 17, 2024 **What do you like best about Gemini Enterprise Agent Platform?** It has many framework and we can choose as per our need that's the only best thing of Vertex AI. **What do you dislike about Gemini Enterprise Agent Platform?** We discountied the Vertex AI due to it's complex Pay Structure. It's pay structure is not good for large corporation. **What problems is Gemini Enterprise Agent Platform solving and how is that benefiting you?** Making Chatbot via Vertex AI is as easy as making coffee via premixes it helps reducing cost because we don't need technical expertes to hire for making AI chatbot. Even a non tech guy can make Chatbot by Vertex. ### 2. Very Costly and Not Flexible at All **Rating:** 2.0/5.0 stars **Reviewed by:** Amit G. | Small-Business (50 or fewer emp.) **Reviewed Date:** May 15, 2023 **What do you like best about Gemini Enterprise Agent Platform?** Comprehensive AI Platform: Provides an end-to-end platform for AI development, deployment, and management. Automated Machine Learning (AutoML): Simplifies model creation and deployment with automated machine learning capabilities. Scalability and Performance: Leverages Google Cloud's scalable infrastructure for efficient handling of large-scale AI workloads. Model Deployment and Serving: Facilitates easy deployment of AI models as web services for real-time predictions. MLOps and Model Management: Offers tools for model versioning, monitoring, and governance throughout the model's lifecycle. Integration with Google Cloud Services: Seamlessly integrates with other Google Cloud services for data access and pipeline orchestration. Prebuilt Models and APIs: Provides a variety of prebuilt models and APIs for tasks like image classification and natural language processing. **What do you dislike about Gemini Enterprise Agent Platform?** Learning Curve: The platform's extensive capabilities may have a learning curve for new users. Pricing Complexity: Users need to monitor resource usage and costs to avoid unexpected expenses. Dependency on Google Cloud: Vertex AI is tightly integrated with Google Cloud, limiting flexibility for multi-cloud or hybrid cloud approaches. Limited Customization: Some highly specialized use cases may require more customization options. Deployment Options: Vertex AI primarily focuses on web service deployment, which may not suit all scenarios. **What problems is Gemini Enterprise Agent Platform solving and how is that benefiting you?** We're building ML models for prediction of multiple business use cases and using Vertex AI for the same. ### 3. I think ML engine is not user friendly. **Rating:** 2.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** July 27, 2018 **What do you like best about Gemini Enterprise Agent Platform?** I like that the hypertune features to save my time to search the hyperparameters for the best model. Distributed training is also great. **What do you dislike about Gemini Enterprise Agent Platform?** It is not very user friendly, and does not have a GUI to submit my training job. **What problems is Gemini Enterprise Agent Platform solving and how is that benefiting you?** train and serve TensorFlow model without maintaining VMs. ## Gemini Enterprise Agent Platform Discussions - [What is Google Cloud AI Platform used for?](https://www.g2.com/discussions/what-is-google-cloud-ai-platform-used-for) - 3 comments, 4 upvotes - [What software libraries does cloud ML engine support?](https://www.g2.com/discussions/what-software-libraries-does-cloud-ml-engine-support) - 3 comments, 4 upvotes - [What is Google AI platform?](https://www.g2.com/discussions/what-is-google-ai-platform) - 2 comments, 2 upvotes - [View Gemini Enterprise Agent Platform pricing details and edition comparison](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews?filters%5Bnps_score%5D%5B%5D=2§ion=pricing&secure%5Bexpires_at%5D=2026-06-14+04%3A44%3A52+-0500&secure%5Bsession_id%5D=81a17f01-e393-46c9-bd12-2bdc91652d48&secure%5Btoken%5D=1366f2ae4df281c066032119d4bc5970e6d7d1f69e027468fad39fbdbfe86374&format=llm_user) ## Gemini Enterprise Agent Platform Integrations - [Data Studio](https://www.g2.com/products/data-studio/reviews) - [Firebase](https://www.g2.com/products/firebase/reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - [Google Cloud Interconnect](https://www.g2.com/products/google-cloud-interconnect/reviews) - [Google Cloud Storage](https://www.g2.com/products/google-cloud-storage/reviews) - [LangChain](https://www.g2.com/products/langchain-langchain/reviews) - [LaTeX](https://www.g2.com/products/latex/reviews) - [Looker](https://www.g2.com/products/looker/reviews) - [Next.js](https://www.g2.com/products/next-js/reviews) - [Python](https://www.g2.com/products/python/reviews) - [S3 Drive](https://www.g2.com/products/s3-drive/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - [Supabase](https://www.g2.com/products/supabase-supabase/reviews) - [Te Mata Software](https://www.g2.com/products/te-mata-software/reviews) - [The Jupyter Notebook](https://www.g2.com/products/the-jupyter-notebook/reviews) - [Visual Studio Code](https://www.g2.com/products/visual-studio-code/reviews) - [WordPress.org](https://www.g2.com/products/wordpress-org/reviews) ## Gemini Enterprise Agent Platform Features **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **System** - Data Ingestion & Wrangling **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Scalability and Performance - Generative AI Infrastructure** - AI High Availability - AI Model Training Scalability - AI Inference Speed **Integration - Machine Learning** - Integration **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 **Data Ingestion & Preparation - Low-Code Machine Learning Platforms** - Automatic Data Profiling & Quality Assessment - Multi‑Source Connector Support - Schema Drift / Change Detection **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training **Management** - Cataloging - Monitoring - Governing - Model Registry **Model Development** - Feature Engineering **Operations** - Metrics - Infrastructure management - Collaboration **Cost and Efficiency - Generative AI Infrastructure** - AI Cost per API Call - AI Resource Allocation Flexibility - AI Energy Efficiency **Learning - Machine Learning** - Training Data - Actionable Insights - Algorithm **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 **Model Construction & Automation - Low-Code Machine Learning Platforms** - Guided Algorithm & Hyperparameter Recommendation - Code Extensibility - Automated Feature Engineering **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Management** - Cataloging - Monitoring - Governing **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 **Deployment** - Managed Service - Application - Scalability **Generative AI** - AI Text Generation - AI Text Summarization **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 **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image **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 **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **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 Gemini Enterprise Agent Platform Alternatives - [Dataiku](https://www.g2.com/products/dataiku/reviews) - 4.4/5.0 (191 reviews) - [Azure Machine Learning](https://www.g2.com/products/microsoft-azure-machine-learning/reviews) - 4.3/5.0 (87 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (782 reviews)