Google Vertex AI vs UiPath Platform comparison

Google and UiPath are both solutions in the AI-Agent Builders category. Google is ranked #6 with an average rating of 8.1, while UiPath is ranked #1 with an average rating of 8.5. Google holds a 4.6% mindshare in AIAB, compared to UiPath’s 6.2% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 98% of UiPath users who would recommend it.

Google Vertex AI

Read 14 Google Vertex AI reviews

6,731 Views
67 Comparison Views

100% willing to recommend

UiPath Platform

Read 911 UiPath Platform reviews

24,084 Views
241 Comparison Views

98% willing to recommend

Google Vertex AI

UiPath Platform

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 25, 2026

The products UiPath and Google Vertex AI compete in the automation and AI integration space. UiPath appears to have the advantage due to its user-friendly design, integration capabilities, and extensive community support.

Features: UiPath offers a low-code platform with a drag-and-drop interface, integrating seamlessly with various applications such as Excel and Outlook. It provides Studio and Orchestrator for effective automation management, along with a robust community edition. Google Vertex AI features an extensive Feature Store, robust integration with Google services, and powerful AI models within its Model Garden.

Room for Improvement: UiPath could enhance AI and machine learning integration to improve complex automation and provide more advanced data analytics capabilities. Google Vertex AI might lower costs and enhance support for non-Google ecosystems, while also improving customer support and user interface for non-technical users.

Ease of Deployment and Customer Service: UiPath provides seamless deployment with a supportive community and training via UiPath Academy, aiding users in overcoming challenges swiftly. Google Vertex AI benefits from integration within the Google Cloud ecosystem, facilitating deployment but may require more accessible customer support.

Pricing and ROI: UiPath offers flexible pricing, including a community edition, which minimizes initial costs and accelerates ROI through significant time and cost savings in automation processes. Google Vertex AI offers competitive pricing but can incur higher costs as usage scales, though it provides substantial long-term benefits due to its advanced AI functionalities.

To learn more, read our detailed Google Vertex AI vs. UiPath Platform Report (Updated: December 2025).

Buyer's Guide

Google Vertex AI vs. UiPath Platform

December 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Google Vertex AI

Ranking in AI-Agent Builders

6th

Average Rating

8.2

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

AI Development Platforms (3rd)

UiPath Platform

Ranking in AI-Agent Builders

1st

Average Rating

8.8

Reviews Sentiment

7.0

Number of Reviews

911

Ranking in other categories

Robotic Process Automation (RPA) (1st), Agentic Automation (2nd), Business Orchestration and Automation Technologies (1st), AI Finance & Accounting (2nd)

Mindshare comparison

As of January 2026, in the AI-Agent Builders category, the mindshare of Google Vertex AI is 4.6%, down from 12.5% compared to the previous year. The mindshare of UiPath Platform is 6.2%, down from 25.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI-Agent Builders Market Share Distribution
Product	Market Share (%)
UiPath Platform	6.2%
Google Vertex AI	4.6%
Other	89.2%

AI-Agent Builders

Featured Reviews

Hamada Farag

Technology Consultant at Beta Information Technology

Customization and integration empower diverse AI applications

We are familiar with most Google Cloud services, particularly infrastructure services, storage, compute, AI tools, containerization, GCP containerization, and cloud SQL. We are familiar with approximately eighty percent of Google's services, primarily related to infrastructure, AI, containers, backup, storage, and compute. We are familiar with Gemini AI and Google Vertex AI, and we have completed some exercises and cases with our customers for Google AI. We use automation in machine learning. I work with a team where everyone has specific responsibilities. We have design and development processes in place. Based on my experience, I would rate Google Vertex AI a 9 out of 10.

Read full review

reviewer2761431

Manager Rpa at a retailer with 10,001+ employees

Significantly reduces manual effort and improves team workflows through automated ticketing

We've used Agent Builder, IXP, and Maestro for orchestration. We have created context-grounded searches or chatbots using context grounding, and we also use context grounding within an Agentic flow where a bot or agent reads ServiceNow tickets to determine whether it has been assigned to the right work group. If it has not been assigned correctly due to human error, it automatically reassigns it to the right group. I would assess Agentic AI's ability to extract data points as effective. We created an agent for the purpose of extracting data, though not in a document. We created what we call an email conversation agent that engages with a customer, vendor, or someone in an email conversation with a set goal of extracting specific data points for an action to be performed subsequently. The one automation we have deployed in production involves the agent interacting with team members to collect data points and create a ServiceNow ticket. We appreciate almost all features of UiPath Platform, with one of the most successful ones being the use of Coms Mining. Most of the new features related to AI have all been good, and we use Agentic. We have already created a few agents and have started to use Maestro for a few flows, though we are not yet there to orchestrate an end-to-end workflow. We have good ROI from the automations we have developed with UiPath Platform, which far exceeds the investment in the platform. It has saved us tens of thousands of hours in manual effort, making the team members happy to pursue other things of value.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Google Vertex AI is better for deployment, configuration, delivery, licensing, and integration compared to other AI platforms."

"The support is perfect and fantastic."

"We extensively utilize Google Cloud's Vertex AI platform for our machine learning workflows. Specifically, we leverage the IO branch for EDA data in Suresh Live Virtual, employing Forte IT for training machine learning models. The AI model registry in Vertex AI is crucial for cataloging and managing various versions of the models we develop. When it comes to deploying models, we rely on Google Cloud's AI Prediction service, seamlessly integrating it into our workflow for real-time predictions or streaming. For monitoring and tracking the outcomes of model development, we employ Vertex AI Monitoring, ensuring a comprehensive understanding of the model's performance and results. This integrated approach within Vertex AI provides a unified platform for managing, deploying, and monitoring machine learning models efficiently."

"The most valuable feature we've found is the model garden, which allows us to deploy and use various models through the provided endpoints easily."

"The integration of AutoML features streamlines our machine-learning workflows."

"Vertex comes with inbuilt integration with GCP for data storage."

"Google Vertex AI is an out-of-the-box and very easy-to-use solution."

"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."

More Google Vertex AI pros

"The user interface is simple and allows people to learn from it faster than other applications."

"A lot of the prebuilt models that are on an AI Center are valuable. Being able to go in there and train your data, give sample data, label the fields, and different OCR methods are also valuable."

"The document extraction or document understanding feature of UiPath is valuable. It basically extracts data from the PDF."

"UiPath has improved the ease of building automations. We were using SeleniumBase testing which is a legacy application and required a lot of manual work to maintain it."

"UiPath has enabled us as an organization to perform an array of tasks with more proficiency and efficiency. Automation is very important to our organization now and UiPath has played an immense role."

"It's highly effective in pinpointing areas within the organization where assistance is required."

"I find the solution easy to use... I've been able to take people with absolutely zero technical background and quickly scale them up in a matter of weeks so they're building bots. I haven't been able to accomplish that same feat with the other platforms."

"The UiPath Apps feature has helped to reduce the workload for our IT department by enabling end-users to create apps. Even some of the business people have been trained to do that. They have been able to build small, attended bots."

More UiPath Platform pros

Cons

"We used AutoML feature for developing AI models automatically, but we are not comfortable with the performance of those models."

"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."

"I've noticed that using chat activity often presents a broader range of options and insights for a well-constructed question. Improving the knowledge base could be a key aspect for enhancement—expanding the information sources to enhance the generation process."

"I'm not sure if I have suggestions for improvement."

"It is not completely mature and needs some features and functions. The interface needs to be more user-friendly."

"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."

"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."

"I think the technical documentation is not readily available in the tool."

More Google Vertex AI cons

"Since we've been with them, they've changed their licensing structure. It would be nice to have one set structure where they're not changing the structure on us because we were set with what we had, but now we are changing. I understand there's a lot of changes and reasons for it."

"UiPath's OCR features could be improved. It's to do complex OCR captures with UiPath. I would also like improvements in the dashboard for executing processes."

"There should be extra ways for humans to interact with automation."

"With Excel applications, it is not able to handle a lot of pop ups. It should be able to do this automatically. We just change the format of the file from XLSX to XLS, but it should be able to handle this automatically. Instead, when something pops up, it gets stuck there. This type of thing are small, but still the process gets stuck. I would like to see better integration of applications to avoid these issues."

"More videos are required. There are basic videos that can help you learn about the product, however, there need to be more in-depth videos to help you through certain tasks."

"The Orchestrator is in drastic need of improvement. Three or four years ago, the Orchestrator UI was very simple and comfortable to use but now, they have added so many features that it is difficult for new users to quickly understand it."

"To improve, I notice a concern regarding support. For instance, if a vendor encounters an issue with UiPath Platform and is unable to resolve it via UiPath Platform developers or architects, they may raise a support ticket, but there can be delays in response."

"The new features or functionalities that come with UiPath upgrades don't work perfectly in the initial days. Their new releases are not stable. We always find some set of issues. I have to work with the UiPath team for a week or so to resolve the issues, and then I'm able to use it. The stabilization should be there. We expect UiPath to reduce the number of errors before rolling out new features to end-users or customers."

More UiPath Platform cons

Pricing and Cost Advice

"I think almost every tool offers a decent discount. In terms of credits or other stuff, every cloud provider provides a good number of incentives to onboard new clients."

"The solution's pricing is moderate."

"The price structure is very clear"

"The Versa AI offers attractive pricing. With this pricing structure, I can leverage various opportunities to bring value to my business. It's a positive aspect worth considering."

"The solution has gotten pricier."

"Even though our clients may have an Automation Anywhere ecosystem, they choose UiPath due to budget and cost. Apart from cost, both platforms offer almost all the features."

"I'd advise others to consider sharing the costs after ensuring they understand their expectations for utilizing the capacity of the robots."

"We just signed a very large perpetual agreement. So, we had 125 Studios and 1200 unattended licenses. We paid $3.7 million. Then, we paid maintenance costs for the next three years, which was 15 percent of that."

"The cost of UiPath is higher in Africa than in Europe and Asia due to differences in salary levels."

"I do not know the specifics within my role, but from what I do know, everything has been very fair. Especially with the licensing that we have for our team, we have been able to accommodate everybody on our team with the roles and access that they require. So far, so good."

"The licensing fees for this solution are approximately $100,000 USD annually."

"There is no additional cost apart from the standard licensing. There is a one-time cost for the infrastructure setup."

More UiPath Platform pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

13%

Financial Services Firm

Manufacturing Company

Educational Organization

Financial Services Firm

11%

Computer Software Company

10%

Manufacturing Company

10%

Performing Arts

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	3
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	249
Midsize Enterprise	143
Large Enterprise	667

Questions from the Community

What is your experience regarding pricing and costs for Google Vertex AI?

I purchased Google Vertex AI directly from Google, as we are a partner of Google. I would rate the pricing for Google Vertex AI as low; the price is affordable.

See all answers

What needs improvement with Google Vertex AI?

We used AutoML feature for developing AI models automatically, but we are not comfortable with the performance of those models. We have to do some fine-tuning, hyperparameter optimization, and othe...

See all answers

What is your primary use case for Google Vertex AI?

We are developing AI models and agents using Google Vertex AI platform, and we are deploying them using Google Vertex AI platform on Google Cloud Platform, GCP. With just one single platform, Googl...

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Best RPA tools for IBM iSeries

I can only speak to UiPath since that is the only RPA solution that I have used. I know that there are specific packages that you can integrate into your project that is specifically made to work w...

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RPA that Bots can run without centralized control?

Yes, Attended Bots which can run without centralized control Module. RPA Tools like Automation Anywhere, uiPath ,Power Automation they do support this.

See all answers

How do I choose between UiPath and Microsoft Power Automate?

Microsoft‌ ‌Power‌ ‌Automate‌ ‌is‌ ‌intuitive‌ ‌and‌ ‌easy‌ ‌to‌ ‌integrate‌ ‌and‌ ‌use.‌ ‌I‌ ‌like‌ ‌that‌ ‌there‌ ‌is‌ ‌no‌ ‌coding‌ ‌experience‌ ‌necessary,‌ ‌and‌ ‌appreciate‌ ‌the‌ ‌automated‌...

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Comparisons

Azure OpenAI vs Google Vertex AI

Compared 21% of the time

Microsoft Azure Machine Learning Studio vs Google Vertex AI

Compared 14% of the time

Hugging Face vs Google Vertex AI

Compared 9% of the time

Amazon SageMaker vs Google Vertex AI

Compared 7% of the time

Amazon Bedrock vs Google Vertex AI

Compared 6% of the time

More Google Vertex AI Competitors

Microsoft Power Automate vs UiPath Platform

Compared 15% of the time

Automation Anywhere vs UiPath Platform

Compared 11% of the time

Blue Prism vs UiPath Platform

Compared 9% of the time

ServiceNow Automation Engine vs UiPath Platform

Compared 5% of the time

Pega Robotic Process Automation vs UiPath Platform

Compared 5% of the time

More UiPath Platform Competitors

Product Reports

Buyer's Guide

Google Vertex AI

January 2026

Download Google Vertex AI product report

Buyer's Guide

UiPath Platform

January 2026

Download UiPath Platform product report

Also Known As

No data available

UiPath Maestro, UiPath Apps, UiPath Agent Builder

Overview

Build, deploy, and scale ML models faster, with pre-trained and custom tooling within a unified artificial intelligence platform.

Google

UiPath Platform is appreciated for its user-friendly interface and extensive automation capabilities, offering seamless integration with diverse applications. Its intuitive drag-and-drop functionality enables users to design efficient workflows with minimal technical expertise.

UiPath Platform delivers a robust set of features that enhance automation and productivity. With components like Orchestrator, task management is optimized, facilitating better scalability. Users benefit from advanced AI and document understanding tools, boosting data handling accuracy and reducing errors. Despite its strengths, UiPath faces challenges with upgrading processes, AI enhancements, and user documentation. Integration and selector sensitivity issues, along with support and licensing complexities, highlight areas for potential improvement. Users request smoother deployment, error handling, and migration processes. Enhanced support for RHEL/Ubuntu, LINQ, and Lambda and improved real-time insights, automation recording, and scheduling are desired. Streamlining the experience for non-technical users with simplified workflows remains a priority.

What are the key features of UiPath Platform?

Drag-and-Drop Functionality: Allows users to design workflows easily without extensive technical skills.
Orchestrator: Enhances task management and enables scalable automation.
AI and Document Understanding: Improves data accuracy and minimizes errors.
System Integration: Offers seamless integration with SAP, CRM, Oracle, and more.
Active Community and Training: UiPath Academy provides resources for skill development.

What benefits should users look for in reviews?

Increased Efficiency: Reduction in manual workloads through automation of repetitive tasks.
Improved Accuracy: Enhanced data handling capabilities reduce errors.
Productivity Boost: Supports both attended and unattended automations to streamline operations.
Scalability: Ability to handle growing automation demands efficiently.
Integration Benefits: Easy integration with enterprise systems for streamlined operations.

UiPath Platform is widely implemented across sectors such as finance, healthcare, insurance, HR, IT, and supply chain to automate repetitive business tasks. Common uses include automating data entry, invoice processing, document management, report generation, and customer service operations. Organizations value the platform's ability to integrate seamlessly with systems like SAP, CRM, and Oracle, allowing for enhanced efficiency and accuracy in processing both structured and unstructured data.

UiPath

Sample Customers

Information Not Available

1. Accenture 2. Deloitte 3. PwC 4. IBM 5. Capgemini 6. KPMG 7. Ernst & Young 8. Infosys 9. Cognizant 10. Wipro 11. Tata Consultancy Services 12. HCL Technologies 13. Genpact 14. Tech Mahindra 15. DXC Technology 16. Atos 17. NTT Data 18. CGI 19. L&T Infotech 20. Hexaware Technologies 21. Mindtree 22. Mphasis 23. Virtusa 24. Syntel 25. Zensar Technologies 26. WNS Global Services 27. Hexaware Technologies 28. Larsen & Toubro Infotech 29. Persistent Systems 30. QuEST Global 31. Sonata Software 32. Zensar Technologies

Buyer's Guide

Google Vertex AI vs. UiPath Platform

December 2025

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