We compared Google Vertex AI and Azure OpenAI based on our user's reviews in several parameters.
Google Vertex AI is praised for its advanced machine learning capabilities, efficient model training, and seamless integration. Users appreciate the scalability, reliability, and positive ROI it offers. On the other hand, Azure OpenAI stands out for its seamless integration with Azure services, flexibility, affordability, and robust machine learning capabilities. Users value the extensive documentation and superior customer service provided by Microsoft. Overall, Google Vertex AI prioritizes user-friendly interfaces and streamlined processes, while Azure OpenAI emphasizes integration, scalability, and robust support.
Features: Google Vertex AI offers advanced machine learning capabilities, seamless integration with existing infrastructure, efficient and automated model training, a user-friendly interface, handling large datasets, accurate predictions, and real-time insights. In contrast, Azure OpenAI prioritizes seamless integration with other Azure services, flexible resource scaling, robust machine learning capabilities, and extensive documentation and support.
Pricing and ROI: The setup cost of Google Vertex AI is considered reasonable and competitive, with a straightforward and hassle-free process that requires minimal effort. The licensing is flexible and accommodating to different business needs. On the other hand, Azure OpenAI is praised for its affordable pricing, minimal setup cost, and flexible licensing options. The setup process is smooth and hassle-free, requiring minimal efforts, and the licensing options are adaptable to meet varying user requirements., Users have reported positive ROI from Google Vertex AI, praising its efficiency, effectiveness, cost-effectiveness, and innovative features. Azure OpenAI users have also experienced positive ROI, with increased efficiency, cost reduction, and valuable insights. Both platforms offer valuable investment opportunities.
Room for Improvement: Google Vertex AI users have mentioned the need for better customization options, comprehensive documentation, and improved customer support. Azure OpenAI users have expressed concerns about certain functions and have suggested improvements.
Deployment and customer support: The reviews for Google Vertex AI indicate that deployment and setup may have different time periods, ranging from a week to three months. In contrast, the reviews for Azure OpenAI suggest that deployment and setup may refer to the same period, typically taking a week or two., The customer service of Google Vertex AI is commendable and satisfying, offering reliable and professional assistance. On the other hand, Azure OpenAI's customer service is highly appreciated, regarded positively, and goes above and beyond to ensure a smooth user experience.
The summary above is based on 17 interviews we conducted recently with Google Vertex AI and Azure OpenAI users. To access the review's full transcripts, download our report.
The Azure OpenAI service provides REST API access to OpenAI's powerful language models including the GPT-3, Codex and Embeddings model series. These models can be easily adapted to your specific task including but not limited to content generation, summarization, semantic search, and natural language to code translation. Users can access the service through REST APIs, Python SDK, or our web-based interface in the Azure OpenAI Studio.
Build, deploy, and scale ML models faster, with pre-trained and custom tooling within a unified artificial intelligence platform.
We monitor all AI Development Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
