Google Vertex AI vs n8n comparison

Google and n8n.io are both solutions in the AI-Agent Builders category. Google is ranked #6 with an average rating of 8.1, while n8n.io is ranked #2 with an average rating of 8.4. Additionally, 100% of Google users are willing to recommend the solution, compared to 100% of n8n.io users who would recommend it.

Google Vertex AI

Read 14 Google Vertex AI reviews

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67 Comparison Views

100% willing to recommend

n8n

Read 14 n8n reviews

3,326 Views
299 Comparison Views

100% willing to recommend

Google Vertex AI

n8n

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 1, 2026

Google Vertex AI and n8n cater to different technology segments, with Vertex AI in the AI development category and n8n in workflow automation. Based on feature set comparisons, Google Vertex AI stands out for AI development while n8n offers greater automation versatility.

Features: Google Vertex AI offers an end-to-end machine learning platform with features like managed services, pre-trained models, and extensive AI toolsets. It provides powerful machine learning capabilities with low-code options, enabling easy integration into various workflows. In contrast, n8n is distinguished by its customizable workflow automation, supporting over 200 pre-built integrations and a user-friendly visual editor for designing workflows. It also offers real-time execution logs for optimizing processes.

Room for Improvement: Google Vertex AI could improve in cost-efficiency, as its comprehensive AI functionalities come with higher expenses. Enhancements in user interface customization may also benefit end-users. On the other hand, n8n could enhance its community support, offering more structured customer support options, and improve documentation to assist users in complex workflows. Additional integrations and improved security features could further boost its utility.

Ease of Deployment and Customer Service: Google Vertex AI benefits from Google Cloud's infrastructure, offering smooth deployment with accessible support resources. Its structured customer service is a significant advantage. n8n, being open-source, offers flexible deployment but may require more technical skill to implement effectively. Its community-driven support, while engaged, might not match the comprehensiveness of Google's offerings.

Pricing and ROI: Google Vertex AI's scalable usage-based pricing can lead to higher costs for large-scale AI projects, but its extensive capabilities justify the investment for many. In contrast, n8n's open-source model provides a more economical solution for workflow automation, delivering better immediate ROI due to lower setup costs and extensive customization and integration possibilities.

To learn more, read our detailed Google Vertex AI vs. n8n Report (Updated: December 2025).

Buyer's Guide

Google Vertex AI vs. n8n

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)

n8n

Ranking in AI-Agent Builders

2nd

Average Rating

8.4

Reviews Sentiment

5.6

Number of Reviews

Ranking in other categories

Workload Automation (11th), Integration Platform as a Service (iPaaS) (15th), Business Orchestration and Automation Technologies (15th), AI Scheduling & Coordination (3rd)

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.

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Noach Ramallo

ERP recommendation specialist at a non-tech company with 1-10 employees

Automation has transformed complex workflows and has empowered non‑technical teams to build flows

Regarding improvements for n8n, I would highlight two areas. First, while there is a growing community, the ecosystem of pre-built nodes for niche or proprietary systems still lags behind some commercial competitors. I often have to build custom HTTP request nodes or create my own node packages, which is doable but adds to project timelines. Second, features for team collaboration and lifecycle management are still evolving. Moving workflows from development to staging to production can be a manual export-import process, and native Git integration and more robust user roles for larger client teams would be a game-changer. Regarding needed improvements, I believe much of the existing documentation is not peer-reviewed. There is definitely a big community, but if the documentation or tutorials were approved or at least had a badge from n8n, customers would feel that this meets the standards of n8n editors themselves, which would give more confidence in the flows.

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Quotes from Members

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

Pros

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

"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."

"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."

"It provides the most valuable external analytics."

"The support is perfect and fantastic."

"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."

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

More Google Vertex AI pros

"With n8n, the limit is just the sky."

"One positive impact that n8n has had on my customers' organizations is significantly less hassle over SEO or reaching out to clients and scheduling meetings."

"My recommendation is to start with n8n if you have any need for automation or integration, especially if you value control, cost predictability, and technical transparency."

"The best features of n8n are its low-code capabilities with everything at your disposal."

"Our business is growing faster because we have created workflows that help us improve our business."

"I appreciated how n8n can be integrated with other services such as WhatsApp, LinkedIn, and Twitter, and the automation tasks it performs."

"n8n is pretty flexible when it comes to pricing, setup cost, and licensing when compared to other platforms such as Make and Zapier."

"The capability of n8n to connect different applications and automate tasks while supporting over 200 pre-built integrations is pretty effective."

More n8n pros

Cons

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

"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."

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

"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."

"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."

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

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

"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."

More Google Vertex AI cons

"When connecting nodes and referring to earlier nodes, the structure that has to be followed is sometimes confusing."

"I don't think it is highly scalable, but it is scalable at a moderate level for companies which have 200 to 500 clients daily; the daily throughput is of 200 to 500 clients."

"What I would like for them to improve is to include more nodes and different service provider integrations, just the way Zapier does."

"In my experience, n8n is not very stable, but it has the potential to be more stable."

"Currently, most products nowadays include walkthrough or guide videos, short videos of 20 to 30 seconds that inform about any particular button or action, which n8n product does not have."

"However, I feel that for very complex production environments, it still requires considerable fine-tuning and knowledge, and sometimes it might not be fully ready to support large-scale implementations in production."

"From my experience, n8n is stable, though the part that can be less stable is that you must stay connected to many APIs."

"I have set up n8n on our local server, which is on a Contabo-based server, and sometimes it was losing connection."

More n8n 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 price structure is very clear"

"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."

Information not available

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Top Industries

By visitors reading reviews

Computer Software Company

13%

Financial Services Firm

Manufacturing Company

Educational Organization

Comms Service Provider

12%

Manufacturing Company

10%

Financial Services Firm

Computer Software Company

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	12
Midsize Enterprise	3
Large Enterprise	2

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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What is your experience regarding pricing and costs for n8n?

My experience with pricing and setup costs has been good. I feel that the price is right as I'm using the standard version, which allows for about one thousand five hundred executions per month, wh...

See all answers

What needs improvement with n8n?

I wrote a message to n8n regarding a problem I faced, but I cannot recall what it was. Currently, most products nowadays include walkthrough or guide videos, short videos of 20 to 30 seconds that i...

See all answers

What is your primary use case for n8n?

I worked on n8n, and Morgan messaged me on LinkedIn to review and provide feedback about the n8n product. I have used n8n for almost six months and built a personal project with it. My main goal wa...

See all answers

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Compared 6% of the time

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Compared 5% of the time

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Compared 4% of the time

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Product Reports

Buyer's Guide

Google Vertex AI

January 2026

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Buyer's Guide

n8n

January 2026

Download n8n product report

Also Known As

No data available

n8n.io n8n

Overview

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

Google

n8n offers a flexible, low-code automation platform connecting over 200 applications to streamline workflows and increase efficiency through visual configurations and real-time monitoring.

n8n provides a robust environment for automating tasks with extensive integrations, benefitting users through its adaptability and developer-friendly design. It supports AI model integrations like ChatGPT to enhance automation. While users value its configurability and real-time logs, they suggest enhancements in scalability, stability, and documentation. It serves a multitude of purposes, from billing and customer support to marketing and data management, by linking platforms like Airtable and Google Sheets.

What are key features of n8n?

Flexibility: Offers adaptable workflows and extensive customization options.
Low-Code Interface: Simplifies workflow creation through a drag-and-drop interface.
Real-Time Logs: Provides immediate feedback during task execution.
Integration Capacity: Connects with over 200 applications and AI models.
Data Privacy: Ensures strong data management to build user trust.

What benefits should users consider?

Time Savings: Reduces time on repetitive tasks, increasing productivity.
Cost Efficiency: Frees resources by automating various processes.
Enhanced Integration: Seamless connections across platforms boost workflow efficiency.
Customization: Tailored solutions through user-specific expressions.
Developer Support: Encourages advanced usage through a developer-friendly environment.

n8n finds use in industries like healthcare, supply chain, and education, automating workflows to improve efficiency. Companies leverage it for tasks from e-commerce to AI-enhanced customer interactions, enhancing operations with minimal technical input required.

n8n.io

Buyer's Guide

Google Vertex AI vs. n8n

December 2025

Free Report: Google Vertex AI vs. n8n

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