No more typing reviews! Try our Samantha, our new voice AI agent.

Gemini Enterprise Agent Platform vs n8n comparison

Why PeerSpot?
Sponsored
 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 23, 2026

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

Automation Anywhere
Sponsored
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
662
Ranking in other categories
Business Process Management (BPM) (2nd), Robotic Process Automation (RPA) (2nd), Process Mining (1st), Intelligent Document Processing (IDP) (1st), Agentic Automation (1st), Business Orchestration and Automation Technologies (2nd), AI Legal & Compliance (1st), AI Finance & Accounting (2nd), AI Procurement & Supply Chain (1st)
Gemini Enterprise Agent Pla...
Average Rating
8.2
Reviews Sentiment
6.3
Number of Reviews
15
Ranking in other categories
AI Development Platforms (1st), AI Agent Builders (5th)
n8n
Average Rating
8.2
Reviews Sentiment
5.5
Number of Reviews
18
Ranking in other categories
Workload Automation (7th), Integration Platform as a Service (iPaaS) (8th), AI Agent Builders (2nd), Business Orchestration and Automation Technologies (3rd), AI Scheduling & Coordination (1st)
 

Featured Reviews

Venkat Sivaprakash - PeerSpot reviewer
Management Consultant at Accenture
Has significantly improved document-driven workflows and reduced processing time across finance and HR functions
Automation Anywhere has evolved significantly and upgraded itself to provide agentic AI and AI-based automation solutions for document automation. The product has matured considerably over time. We can create workflows that can call an API. We can include prompts in particular workflows for ChatGPT-related functions, connecting to an LLM and RAG to perform tasks. For document automation, modern features are available to train documents, ensuring high accuracy and repeatability over time. The system is very easy to use. I recently completed a course in document automation, typically designed for people involved in coding and technical aspects. Though I understand coding comprehensively, I don't do actual coding. The course was very accessible. Currently, extensive coding isn't necessary due to the hybrid model incorporating GenAI aspects, low-code, no-code capabilities, APIs, and numerous pre-built objects in Automation Anywhere. The features include GenAI-driven prompting methods and workflow creation capabilities. In these workflows, we can create decision boxes and call APIs without coding. We simply pull objects, drop them, connect them, and add minimal coding when needed. The most crucial aspect isn't coding but rather sizing the automation and fleshing out the details. Automation Co-pilot takes notes and performs automated analysis. It can extract details from videos, summarize conversations, and provide detailed information. During calls, it identifies instructions and performs tasks such as preparing reports and reconciliation. Automation Anywhere can also connect with Microsoft Co-pilot. Through Co-pilot, real-time operations can be executed, allowing direct interaction between vendors and automation through this component.
Pethuru Chelliah - PeerSpot reviewer
Chief Architect at a energy/utilities company with 10,001+ employees
Developed and deployed AI agents through a unified platform that supports integration with enterprise systems
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 other optimizations to enhance the performance of the AI models. We are not fully leveraging the automation being provided by Google Vertex AI for building AI models. Google Vertex AI has to be enhanced to support agentic AI system development. AI agents have to be developed through Google Vertex AI. Additionally, RAG support, vector database support, knowledge graph support, integration with enterprise systems such as ERP, CRM, PLM, MES, and other enterprise systems need improvement. Automated workflow generation and automation could also be enhanced. At this point, we are completely satisfied with the features and functionalities of Google Vertex AI platform, but as we move towards autonomous systems through agentic AI paradigm, Google Vertex AI platform needs to be improved to facilitate agentic AI system design, development, deployment, monitoring, observability, governance, and security.
NR
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.

Quotes from Members

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

Pros

"One of the notable benefits we've realized from Automation Anywhere is a significant reduction in errors when processing data, which improves both revenue accuracy and operational efficiency."
"Automation has helped us improve productivity in that it first of all saves time, and because of the automation we are able to eliminate human errors, so it is really good for improving our productivity and has helped us a lot."
"The flexibility: If there is anything the tool cannot do, we have the ability to make a MetaBot to achieve that functionality. The overall flexibility of the tool makes it very useful for us in our landscape."
"It's a perfect product; it's made my life very easy and a lot of people's lives very easy, removing hectic, repetitive, boring work and giving people free time to do the work they really want to do."
"Automation Anywhere is one of the most popular RPA vendors offering powerful and user-friendly RPA capabilities to automate the business processes that are performed by humans. AA is a web-based management system that includes a control to run end-to-end automated business tasks for companies."
"The most valuable features of Automation Anywhere are Excel, periods, database, and email action."
"IQ Bot has been one of the top-notch solutions that I have seen in the OCR field, which covers a lot of the areas where we can transition unstructured data into structured data."
"In some of our use cases, people were spending more than three hours per day just generating reports, and then we created an automation for this and it reduced the time to 30 minutes."
"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."
"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."
"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."
"The integration of AutoML features streamlines our machine-learning workflows."
"Google Vertex AI is an out-of-the-box and very easy-to-use solution."
"It provides the most valuable external analytics."
"n8n has positively impacted my organization because we previously needed to write product descriptions manually for over 50,000 products on our website, so we created an automation that automatically writes all meta descriptions and titles, which significantly supports our growth and is very helpful and time-saving for us."
"n8n is pretty flexible when it comes to pricing, setup cost, and licensing when compared to other platforms such as Make and Zapier."
"The best features of n8n are reading documents like Google Sheets and Google Drive, and especially the AI agent functionality, the Agent Mode and AI agent nodes, which I find very amazing, along with webhooks and HTTP nodes."
"n8n is a really good automation platform where I can use it to automate my businesses and processes and also save money and time."
"The solution is absolutely efficient in terms of usage and is user-friendly."
"The best feature of n8n, in my opinion, is its flexibility, self-hosting capability, and the ability to build complex workflows with full control."
"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 low-code interface and the quick code writing within n8n that we can do and utilize is very helpful; it brings in efficiency, better time to market, and actually helps us."
 

Cons

"With our current version, we are experiencing issues with the access of the Control Room. Therefore, at the moment, we cannot really scale."
"Automation Anywhere has newly integrated the Generative AI feature. It should be more customizable. Currently, we can change certain parameters, but we would like to have the ability to do modifications within the LLM for better outputs."
"It would be better to make it more user-friendly so that individuals with no experience can pick it up pretty quickly."
"Excel functionalities, the macro interface can be improved in the next release of RPA platform Automation Anywhere. Functionalities such as maneuvering on the excel worksheets, increased capability to manipulate formulae, and other Excel functionalities will give Automation Anywhere and edge in the RPA platform category since most financial applications use a lot of Excel and macro sheets for their calculations and postings."
"Automation Anywhere could assist in this transition."
"Automation Anywhere is unable to connect to the database directly."
"The initial setup was complex because we had to make sure all the security aspects were approved by our leadership."
"Automation Anywhere should make it easier for developers to manage queues and exception handling. The OCR component could also be better. We have had to use other OCR tools to get information from the account documents."
"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."
"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."
"The tool's documentation is not good. It is hard."
"We used AutoML feature for developing AI models automatically, but we are not comfortable with the performance of those models."
"Some of the tools should have more advanced settings available. Some are very locked into certain features and settings, and there is no customization."
"I think the technical documentation is not readily available in the tool."
"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."
"Both major systems, Azure and Google, are not yet stabilized, especially their customer support."
"I have set up n8n on our local server, which is on a Contabo-based server, and sometimes it was losing connection."
"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."
"In my experience, n8n is not very stable, but it has the potential to be more stable."
"n8n has a bit of a learning curve to it; you have to learn a lot."
"The debug experience could be stronger; when a workflow fails partway through a complex multi-step process, it is sometimes hard to pinpoint exactly where and why, requiring manual stepping through each node."
"What I would like for them to improve is to include more nodes and different service provider integrations, just the way Zapier does."
"The localized implementation is a bit complex and we definitely need some developers involved within this process."
"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."
 

Pricing and Cost Advice

"Its price is competitive with all other products in the market."
"We have a three-year contract with Automation Anywhere."
"In most of the cases, the product value is very good. If the infrastructure, implementation, and framework are good, then generally, the client can get a good return on investment."
"The Community Edition is a good offering from the company."
"I think the solution's pricing is reasonable."
"Approximately, for a developer, it is around $750 for a license a year. For Bot Runners, it is about $550."
"The licensing cost of Automation Anywhere is better than UiPath and Blue Prism."
"It's very good in terms of cost and pricing."
"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 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."
Information not available
report
Use our free recommendation engine to learn which AI Agent Builders solutions are best for your needs.
912,517 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Outsourcing Company
14%
Financial Services Firm
13%
Manufacturing Company
10%
Comms Service Provider
9%
Outsourcing Company
10%
Financial Services Firm
9%
Manufacturing Company
8%
Computer Software Company
8%
Comms Service Provider
11%
Financial Services Firm
10%
Manufacturing Company
10%
Outsourcing Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business158
Midsize Enterprise82
Large Enterprise558
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise4
Large Enterprise7
By reviewers
Company SizeCount
Small Business17
Midsize Enterprise3
Large Enterprise2
 

Questions from the Community

How good is Automation Anywhere for RPA processes?
It depends on your use case. Is it simply to automate a couple of processes? Is it to augment a human team? AA is ver...
How good is Automation Anywhere for RPA processes?
From my experience using AA tool, it depends on the applications that you want to automate, because there some applic...
How good is Automation Anywhere for RPA processes?
It is a highly preferred RPA tool. You can check my Automation Anywhere Review to know more.
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...
What needs improvement with Google Vertex AI?
Google Vertex AI is quite complex to navigate and to start services with, as I need to do a lot of iterations to fina...
What is your primary use case for Google Vertex AI?
Google Vertex AI has been utilized for Vertex Pipelines. I have not utilized the pre-trained APIs in Google Vertex AI...
What is your experience regarding pricing and costs for n8n?
Since we self-hosted, we avoided n8n's SaaS pricing entirely. Our costs are primarily on the Hostinger VPS subscripti...
What needs improvement with n8n?
n8n could improve the onboarding and debugging experience for users who are not deeply technical. The platform is pow...
What is your primary use case for n8n?
My main use case for n8n is in the area of HubSpot marketing CRM AI agent project. I built and implemented CRM market...
 

Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
Vertex, Google Vertex AI
n8n.io n8n
 

Interactive Demo

Demo not available
Demo not available
 

Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Information Not Available
Information Not Available
Find out what your peers are saying about Gemini Enterprise Agent Platform vs. n8n and other solutions. Updated: August 2026.
912,517 professionals have used our research since 2012.