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Gemini Enterprise Agent Platform pros and cons

Vendor: Google
4.1 out of 5
Badge Ranked 1

Pros & Cons summary

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Prominent pros & cons

PROS

Google Vertex AI offers Gemini's large language models and vision tool, esteemed for their high quality and performance.
The platform is notably flexible, supporting low-code and no-code services, offering flexibility for various use cases.
Vertex AI integrates seamlessly with Google's ecosystem, streamlining machine learning workflows with features such as AutoML and ensuring ease of use.
It provides a comprehensive monitoring feature, highly rated by data scientists for tracking and understanding model performance.
The AI model registry in Vertex AI is essential for managing model versions, enhancing deployment and prediction services integration.

CONS

Google Vertex AI is complex to navigate and requires multiple iterations to activate services, making it challenging for less technically oriented users.
The platform lacks certain features such as image generators and text-to-speech solutions, which could enhance its functionality.
Performance issues include long processing times and slow training, potentially due to large data sizes, indicating a need for optimization.
The tool's documentation is inadequate and not readily available, complicating the user experience for those with limited technical expertise.
AutoML model performance is unsatisfactory, and enhancing the knowledge base by expanding information sources could improve its utility.
 

Gemini Enterprise Agent Platform Pros review quotes

Hamada Farag - PeerSpot reviewer
Technology Consultant at Beta Information Technology
Jun 23, 2025
Google Vertex AI is better for deployment, configuration, delivery, licensing, and integration compared to other AI platforms.
Pethuru Chelliah - PeerSpot reviewer
Chief Architect at a energy/utilities company with 10,001+ employees
Oct 10, 2025
With just one single platform, Google Vertex AI platform, we can achieve everything; we need not switch over to multiple tools, multiple platforms, as everything can be accomplished through this one single platform for integration with existing workflows, systems, tools, and databases.
Uddeshya Kumar - PeerSpot reviewer
Product Owner at a tech vendor with 11-50 employees
Oct 22, 2025
The most useful function of Google Vertex AI for me is the ease of integration, as we can easily create a prompt and integrate it into our current system.
Learn what your peers think about Gemini Enterprise Agent Platform. Get advice and tips from experienced pros sharing their opinions. Updated: May 2026.
899,052 professionals have used our research since 2012.
Uzair Faruqi - PeerSpot reviewer
Head Of Data Science at Mjunction Services
Feb 19, 2026
The features I have found most valuable in Google Vertex AI are Gemini's large language models, which are currently among the best, and the vision tool of Gemini, which I consider quite good.
Kashif Yaseen - PeerSpot reviewer
Trainee Decision Scientist at a tech services company with 1,001-5,000 employees
Nov 11, 2024
Vertex comes with inbuilt integration with GCP for data storage.
reviewer2145921 - PeerSpot reviewer
Principal Data Architect at a computer software company with 201-500 employees
Jul 9, 2025
The best feature of Google Vertex AI is the ease of use, along with the integration with the rest of the Google ecosystem and the way models can be made available outside Google through endpoints.
Rajeev-Dave - PeerSpot reviewer
IT Senior Manager at a tech services company with 10,001+ employees
Sep 13, 2024
The integration of AutoML features streamlines our machine-learning workflows.
Ivy W. - PeerSpot reviewer
Senior Data Scientist at Breuninger
Aug 31, 2023
The monitoring feature is a true life-saver for data scientists. I give it a ten out of ten.
Serge Dahdouh - PeerSpot reviewer
CEO at Les Roches International School of Hotel Management
Aug 16, 2023
Vertex AI possesses multiple libraries, so it eliminates the need for extensive coding.
Suresh Ayyavoo - PeerSpot reviewer
Chief Information Officer (CIO) at a tech services company with 51-200 employees
Nov 24, 2023
Google Vertex AI is an out-of-the-box and very easy-to-use solution.
 

Gemini Enterprise Agent Platform Cons review quotes

Hamada Farag - PeerSpot reviewer
Technology Consultant at Beta Information Technology
Jun 23, 2025
It is not completely mature and needs some features and functions. The interface needs to be more user-friendly.
Pethuru Chelliah - PeerSpot reviewer
Chief Architect at a energy/utilities company with 10,001+ employees
Oct 10, 2025
We used AutoML feature for developing AI models automatically, but we are not comfortable with the performance of those models.
Uddeshya Kumar - PeerSpot reviewer
Product Owner at a tech vendor with 11-50 employees
Oct 22, 2025
Google can improve Google Vertex AI in terms of analysis and accuracy. When passing a very large context, instead of receiving vague responses, it would be better if the system could prompt users not to pass overly large prompts and provide clearer guidance on how to fine-tune Gemini for specific use cases.
Learn what your peers think about Gemini Enterprise Agent Platform. Get advice and tips from experienced pros sharing their opinions. Updated: May 2026.
899,052 professionals have used our research since 2012.
Uzair Faruqi - PeerSpot reviewer
Head Of Data Science at Mjunction Services
Feb 19, 2026
Google Vertex AI is quite complex to navigate and to start services with, as I need to do a lot of iterations to finally activate the services, which is one major flaw, although it is powerful.
Kashif Yaseen - PeerSpot reviewer
Trainee Decision Scientist at a tech services company with 1,001-5,000 employees
Nov 11, 2024
I'm not sure if I have suggestions for improvement.
reviewer2145921 - PeerSpot reviewer
Principal Data Architect at a computer software company with 201-500 employees
Jul 9, 2025
It takes a considerable amount of time to process, and I understand the technology behind why it takes this long, but this is something that could be reduced.
Rajeev-Dave - PeerSpot reviewer
IT Senior Manager at a tech services company with 10,001+ employees
Sep 13, 2024
Both major systems, Azure and Google, are not yet stabilized, especially their customer support.
Ivy W. - PeerSpot reviewer
Senior Data Scientist at Breuninger
Aug 31, 2023
The solution is stable, but it is quite slow. Maybe my data is too large, but I think that Google could improve Vertex AI's training time.
Serge Dahdouh - PeerSpot reviewer
CEO at Les Roches International School of Hotel Management
Aug 16, 2023
It would be beneficial to have certain features included in the future, such as image generators and text-to-speech solutions.
Suresh Ayyavoo - PeerSpot reviewer
Chief Information Officer (CIO) at a tech services company with 51-200 employees
Nov 24, 2023
Google Vertex AI is good in machine learning and AI, but it lacks optimization.