Google Vertex AI vs UiPath Platform comparison

Google and UiPath are both solutions in the AI-Agent Builders category. Google is ranked #3 with an average rating of 8.3, while UiPath is ranked #2 with an average rating of 8.6. Google holds a 1.0% mindshare in AIAB, compared to UiPath’s 17.3% 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 12 Google Vertex AI reviews

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100% willing to recommend

UiPath Platform

Read 896 UiPath Platform reviews

24,365 Views
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98% willing to recommend

Google Vertex AI

UiPath Platform

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

3rd

Average Rating

8.4

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

AI Development Platforms (2nd)

UiPath Platform

Ranking in AI-Agent Builders

2nd

Average Rating

8.8

Reviews Sentiment

7.0

Number of Reviews

896

Ranking in other categories

Robotic Process Automation (RPA) (1st), Agentic Automation (2nd)

Mindshare comparison

As of October 2025, in the AI-Agent Builders category, the mindshare of Google Vertex AI is 1.0%. The mindshare of UiPath Platform is 17.3%. It is calculated based on PeerSpot user engagement data.

AI-Agent Builders Market Share Distribution
Product	Market Share (%)
UiPath Platform	17.3%
Google Vertex AI	1.0%
Other	81.7%

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

Kyle Grimm

Automation Developer at Worthington Industries

Desktop development has become faster and improves automation results

My thoughts on UiPath Platform's user community suggest that a lot of content seems outdated and old now that gets referenced. The community experience for the AI is limited because putting the error codes into the community search field doesn't return many results. However, a lot of information from pre-AI, before 2022, is still accurate and helpful, but the cutting-edge content just isn't in the community yet. There should be better training on UiPath Platform. I wish I could search UiPath IXP training and have a course pull up as the first result without having to dig through a bunch of links, dead-end links, and random things. Easier access for training would be ideal.

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 an out-of-the-box and very easy-to-use solution."

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

"The most valuable features of the solution are that it is quite flexible, and some of the services are almost low-code, with no-code services, so it gives agents flexibility to build the use cases according to the operational needs."

"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 monitoring feature is a true life-saver for data scientists. I give it a ten out of ten."

"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."

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

"Vertex AI possesses multiple libraries, so it eliminates the need for extensive coding."

More Google Vertex AI pros

"The Academy is free, and there is a lot of content."

"The Orchestrator management tools are growing a lot and are constantly improving."

"The feature I appreciate the most on UiPath Platform is the web interface."

"RPA is always good, and UiPath's Document Understanding is interesting. We used the old model, but the new modern Document Understanding is much easier."

"UiPath has definitely assisted us in speeding up our digital transformation journey. We have been able to create a whole bunch of different components that we reuse throughout our solutions. This means that when we have great, new ideas that we want to implement into our solutions, we have now found ways to do it in such a way that we spend less time trying to implement the fixes or cool new enhancements and more time actually realizing the value. In doing so, we have also seen a reduction in cost and an increase in FTE savings."

"The interface is intuitive and very user-friendly."

"We use a lot of unattended robots. We're almost entirely unattended right now. We find that those are the best early bang for our buck."

"UiPath's interface element identification is arguably more reliable than Automation Anywhere's."

More UiPath Platform pros

Cons

"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'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."

"Google Vertex AI is good in machine learning and AI, but it lacks optimization."

"The tool's documentation is not good. It is hard."

"Both major systems, Azure and Google, are not yet stabilized, especially their customer support."

"It would be beneficial to have certain features included in the future, such as image generators and text-to-speech solutions."

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

"I believe that Vertex AI is a robust platform, but its effectiveness depends significantly on the domain knowledge of the developer using it. While Vertex AI does offer support through the console UI in the Google Cloud environment, it is better suited for technical members who have a deeper understanding of machine learning concepts. The platform may be challenging for business process developers (BPDUs) who lack extensive technical knowledge, as it involves intricate customization and handling numerous parameters. Effectively utilizing Vertex AI requires not only familiarity with machine learning frameworks like TensorFlow or PyTorch but also a proficiency in Python programming. The complexity of these requirements might pose challenges for less technically oriented users, making it crucial to have a solid foundation in both machine learning principles and Python coding to extract the full value from Vertex AI. It would be beneficial to have a streamlined process where we can leverage the capabilities of Vertex AI directly through the BigQuery UI. This could involve functionalities such as creating machine learning models within the BigQuery UI, providing a more user-friendly and integrated experience. This would allow users to access and analyze data from BigQuery while simultaneously utilizing Vertex AI to build machine learning models, fostering a more cohesive and efficient workflow."

More Google Vertex AI cons

"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."

"I would like to see a UiPath user group to discuss issues. I am unaware of all the activities and features, and this would help. Right now, there is just the user's guide and UiPath GO! It would be great if this feedback went back to the UiPath development team. We should also be notified of new features through an alerting system on UiPath GO!"

"The licensing process is complicated and needs to be improved."

"We are doing automation to take care of all our processes, but we still need support people 24/7 to monitor these jobs. So, human intervention is still there. We have two people monitoring these automations 24/7 because there are still some challenges with the automation."

"I have been working on UiPath Apps for the last six months, and there are a few things to improve. The tables are not working properly. There are issues with the table display and the filter function in the tables. There is also an alignment issue. You can't edit the alignment of buttons."

"Integration is an area for improvement. I still encounter issues with it, like getting errors when I try to use a connection."

"Governance has room for improvement but that's more of a cultural thing. It depends on your company. We have the reference architecture that we have in place, but it's easy for someone to say, "Okay, I need to make an adjustment here outside of that reference architecture." Because it's so easy for them to do that, they leave the company now that a non-compliant bot is out there running a production process, we need to be able to rank that in. There needs to be footwork that we have to do as an organization for my team as opposed to a true problem with the platform."

"The pricing for Orchestrator and unattended robots could use improvement. If we plan to roll out and implement more robots, then perhaps lower costs on Orchestrator and unattended robots would make adoption even easier."

More UiPath Platform cons

Pricing and Cost Advice

"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's pricing is moderate."

"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 price structure is very clear"

"The product is not the cheapest."

"UiPath is a bit more expensive than other similar solutions, and its price is increasing daily."

"UiPath is expensive."

"I can't speak to the exact price, however, recently I heard in a meeting that one license for Studio Path costs 2,825 Euros per year. This price is approximate and may fluctuate."

"The pricing is good. They offer a Community edition that we currently use, which is free. Their paid pricing is pretty affordable for businesses as well."

"The licensing model could be improved. UiPath charges more if you increase the number of components. It should be included within the premium licensing. We have 100 percent end-to-end automation for some of our processes. However, we're limited by the licensing from fully automating all of them. We can't use all the features."

"They give it away in the community edition for free, so I use it at home."

"Do your research, the infrastructure piece is important to understand before purchasing."

More UiPath Platform pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

14%

Financial Services Firm

10%

Manufacturing Company

Educational Organization

Computer Software Company

15%

Financial Services Firm

12%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	3
Large Enterprise	6

By reviewers
Company Size	Count
Small Business	239
Midsize Enterprise	145
Large Enterprise	661

Questions from the Community

What do you like most about Google Vertex AI?

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 trai...

See all answers

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

They have different pricing models like pay-as-you-go or subscription model, and total cost of ownership. It is comparatively cheaper than Azure.

See all answers

What needs improvement with Google Vertex AI?

Google Vertex AI is one of the best in the market, followed by Azure AI. It can be rated at eight or nine out of ten. It is not completely mature and needs some features and functions. The interfac...

See all answers

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 29% of the time

Microsoft Azure Machine Learning Studio vs Google Vertex AI

Compared 13% of the time

Hugging Face vs Google Vertex AI

Compared 12% 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 18% of the time

Blue Prism vs UiPath Platform

Compared 11% of the time

Automation Anywhere vs UiPath Platform

Compared 10% of the time

Pega Robotic Process Automation vs UiPath Platform

Compared 5% of the time

Tungsten RPA vs UiPath Platform

Compared 5% of the time

More UiPath Platform Competitors

Product Reports

Buyer's Guide

Google Vertex AI

September 2025

Download Google Vertex AI product report

Buyer's Guide

UiPath Platform

September 2025

Download UiPath Platform product report

Overview

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

Google

UiPath Platform offers an intuitive automation solution with its user-friendly interface and low-code/no-code capabilities, empowering users to efficiently automate processes without technical expertise. It integrates seamlessly with applications and enhances productivity through attended and unattended automation.

UiPath Platform stands out for its scalability and operational control, especially through Orchestrator, which effectively manages bots and processes. AI-driven features like Document Understanding and OCR streamline data handling, reduce human error, and increase productivity. With support from a robust community and UiPath Academy, users benefit from ongoing skill development and learning. The platform's integration with tools such as Salesforce and ServiceNow ensures flexibility, and its Automation Cloud simplifies deployment and maintenance. Despite these strengths, UiPath users have highlighted areas for improvement such as licensing complexities, documentation clarity, and support responsiveness. They also seek enhanced integration with AI, machine learning, and external systems, combined with improved stability and more intuitive design.

What are the key features of UiPath Platform?

Intuitive Interface: Drag-and-drop design eases automation for non-experts.
Orchestrator Management: Effective bot and process management for operational control.
AI-Driven Features: Document Understanding and OCR optimize data processes.
Extensive Integrations: Connects with Salesforce, SAP, Excel, Oracle, and CRM.
Automation Cloud: Simplifies deployment and streamlines maintenance operations.

What benefits should users consider in reviews?

Time Savings: Automation reduces time spent on repetitive tasks.
Cost Efficiency: Decreases operational costs by minimizing manual labor.
Productivity Boost: Attended/unattended automation increases productivity.
Comprehensive Training: UiPath Academy and community resources support user growth.

Organizations adopt UiPath in finance, HR, IT, healthcare, and manufacturing sectors to automate repetitive and data-intensive tasks. Automation in invoice processing, data entry, and document management is common. Its integration with systems like SAP, Excel, Oracle, and CRM enhances efficiency, enabling businesses to reduce errors and manual effort, while focusing on strategic activities with both cloud and on-premises deployment options.

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

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