I think Gemini Enterprise Agent Platform is one of the fastest platforms. It's also really unique and I feel like it has a trustworthy reputation, especially because it comes from Google. The platform was so easy to use right away, and setting up was just a breeze. I could simply click and assign it with my email, which made the whole process look so easy. Review collected by and hosted on G2.com.

I DON'T DISLIKE ANYTHING ABOUT PLATFORM Review collected by and hosted on G2.com.

I also appreciate the multimodal capabilities of Gemini, where the platform can understand text, images, code, and documents together. For software development and automation projects, this is very useful because it reduces manual work and improves productivity. Review collected by and hosted on G2.com.

The UI and navigation can also be made more intuitive for new users. Certain enterprise features, configurations, and integrations require multiple steps, which may feel complex initially. Simplifying the workflow setup and improving documentation with more real-world examples would help developers adopt the platform faster. Review collected by and hosted on G2.com.

Gemini Enterprise Agent gives you unlimited potential to fully bring your creativity to life. If I have an Algorithm with me, even a skeleton of the full idea, Gemini Enterprise would help me fill in the gaps and even suggest all the improvements, or loopholes that would case me trouble in the future. Overall, using it was an amazing experience for me to improve my efficiency in work, and create scalable projects that benefit the entire process. Review collected by and hosted on G2.com.

There's nothing much, but like any Agentic AI, it needs proper prompt engineering to bring out its full potential. Review collected by and hosted on G2.com.

I love how easy it is to build and deploy AI agents without needing a deep machine learning background. Review collected by and hosted on G2.com.

At times, the setup process feels a bit confusing, and I really wish the documentation included more real-world, practical examples to make things clearer. Review collected by and hosted on G2.com.

Vertex AI makes it easy to try out the latest GenAI models, integrate them into applications, build our own models and expose them as endpoints. I've been using Vertex AI for more than 5 years now for variety of applications such as mobile apps that have image recognition, chat capabilities to web apps that summarize and extract meaningful content.

Vertex AI acts as a command center for all AI applications and is always updated with latest progress in the field of AI, especially Gen AI Review collected by and hosted on G2.com.

Learning vertex AI was a bit tough when I got started. Billing costs with features and the usage was tricky to estimate beforehand. Luckily over the years they have made it easier to try out the features and with help of Google Cloud Skill boost, we are able to implement and learn the new features without worrying to much about the costs. Review collected by and hosted on G2.com.

What I like most about Vertex AI is its unified ecosystem. It brings data preparation, model training, and deployment together in a single, cohesive workflow, which makes the overall process feel smooth and well connected. The Model Garden is a real highlight for me, offering easy access to over 150 foundation models such as Gemini and Claude, and it noticeably speeds up building and delivering production-grade AI solutions. Review collected by and hosted on G2.com.

I’m not a fan of the complex pricing structure, especially since there’s no “scale-to-zero” option for endpoints. That can leave you paying higher costs even when services are idle. On top of that, the learning curve feels steep, and the documentation is fragmented, which makes it harder for smaller teams—or anyone new to the Google Cloud ecosystem—to get up to speed and use it confidently. Review collected by and hosted on G2.com.

What I like most about Vertex AI is that everything is available in one place. From training models to deploying and monitoring them, the end-to-end workflow feels smooth once you get used to the interface and how the pieces fit together. The hands-on labs, along with prebuilt models and tools like AutoML and Gemini, made it easier for me to understand practical, real-world use cases. Another big plus is not having to worry much about infrastructure or scaling, which saves a lot of time and lets me focus more on the actual model work. Review collected by and hosted on G2.com.

At first, Vertex AI can feel overwhelming especially when you’re dealing with IAM roles, project setup, and trying to understand how the different services connect to each other. I’ve also found that small configuration issues can take longer to debug than expected. Cost tracking during labs is a bit unclear in the beginning as well, so beginners need to be cautious when experimenting with resources. Review collected by and hosted on G2.com.

I like Vertex AI's easy infrastructure, which makes deploying production-grade software very straightforward and allows you to start quickly. The community support is great; if you run into trouble, you can search on Google and find help easily. It’s also very easy to use, considering the complexity of tasks it can handle. Review collected by and hosted on G2.com.

There's a slight issue when giving prompts; it's hard to understand whether I'm giving the system prompt for the product or for my own use case, leading to confusion. I think there's a misunderstanding there. Also, there are multiple APIs to configure, and it's unclear whether they are being charged or not, so I think API management could be better. Review collected by and hosted on G2.com.

I like ease of building AIagents, seamless, integration with google cloud services, powerful enterprise search and the ability to deploy scalable, production- ready application quickly. Review collected by and hosted on G2.com.

The main drawbacks are the steep learning curve, higher costs at scale,, limited flexibility for some advance customizations,and debugging tools that could be easier to use. Review collected by and hosted on G2.com.

unified platform and workflow ,native access to top model(ModelGarden),Deep BigQuery and google cloud,Accessbility accross skil level.Robust enterprise security and privacy. Review collected by and hosted on G2.com.

Complex pricing and learning curves towards GCP Review collected by and hosted on G2.com.