Gemini Enterprise Agent Platform vs Glean Platform comparison

Why PeerSpot?

Google and Glean are both solutions in the AI Agent Builders category. Google is ranked #5 with an average rating of 8.2, while Glean is ranked #4 with an average rating of 8.5. Additionally, 100% of Google users are willing to recommend the solution, compared to 100% of Glean users who would recommend it.

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Executive SummaryUpdated on Apr 23, 2026

Gemini Enterprise Agent Platform and Glean Platform are products in the enterprise information management sector. Glean Platform holds an edge due to its innovative features and ease of use.

Features: Gemini offers robust data analytics, extensive integration capabilities, and scalable solutions ideal for large enterprises. Glean, on the other hand, excels in AI-driven search and discovery, seamless knowledge management, and an intuitive user interface that enhances user engagement.

Room for Improvement: Gemini could improve by enhancing its user interface, expanding cloud-based capabilities, and upgrading its search functionalities. Glean might benefit from better cost management tools, enhanced offline access, and increased customization options for enterprise-specific needs.

Ease of Deployment and Customer Service: Gemini is valued for its straightforward deployment and extensive support, ensuring smooth integration. Glean offers streamlined cloud-based deployment that minimizes operational disruptions, with a focus on an easy installation and maintenance process.

Pricing and ROI: Gemini presents a cost-effective solution attractive for budget-conscious businesses seeking high ROI. Glean, despite a higher initial cost, provides value with increased productivity and efficient information retrieval, making it a beneficial long-term investment.

To learn more, read our detailed Gemini Enterprise Agent Platform vs. Glean Platform Report (Updated: September 2026).

Buyer's Guide

Gemini Enterprise Agent Platform vs. Glean Platform

September 2026

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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

Automation Anywhere

Featured Reviews

Venkat Sivaprakash

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.

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Pethuru Chelliah

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.

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reviewer2810748

Analyst at a financial services firm with 1,001-5,000 employees

Creating low-code agents has transformed policy queries and now saves employees hours daily

What I would like to see is an ease by which I can have different connectors set up. Right now I have to do a lot of back and forth in order to have these connectors enabled. Having them by default on the platform would be very helpful for me. Also, when developing custom actions, having a developer portal where users can track the log of how the requests are being sent to custom endpoints created would be helpful because right now I do not have anything of that nature. It is just a final response that I get and it becomes very difficult to keep track of what is happening in the backend. Also, the latency that the platform offers is a little high right now. What I have noticed is that on a particular query, the user has to wait a long time in order to get responses. If there is a way to reduce this time and improve performance by decreasing the time for responses, that would be very good. I believe that the latency offered is a little high right now. If I can get prompt responses quickly, then that would be a real user experience enhancement. Also, what I have noticed is the problem that developers face when creating custom actions in Glean Platform, where we are not able to keep track of what is happening in the backend. A logger of sorts would be very good so that I can maintain an idea of what is happening in the backend. If that issue is resolved, along with also the issue of having custom connectors available from the start rather than going to Glean Platform and having conversations about the thing, then it would be very good. If these issues are resolved, then it would be a strong 10 out of 10 from me. But as of now, it will be an 8 out of 10. Glean Platform is a very capable platform. It is good for indexing documents and reducing manual workflows by incorporating an element of AI in it. Business usage can be increased as well. The one caveat is if there are developers who are creating actions on Glean Platform, then I must keep an eye on the logging that I have for the platform because interacting with the backend systems becomes very difficult using Glean Platform. Also, what I have noticed is that it is a real challenge in terms of latency as some of the responses may take a little while to load. However, what I have noticed is that the responses are usually very accurate, and so it is a trade-off between speed and accuracy. This is what I would advise to someone who is looking at Glean Platform.

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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

"No other competitor has this email trigger, so it saves a lot of time if you automate the process. We don't need to fix a time for a task to run. It gives the feature of on demand execution for any task. Whenever a user wants, it can send a mail and get the task done as soon as possible."

"The majority of Indian companies are showing a lot of interest in recruiting students who are trained in this Automation Anywhere RPA tool."

"We have installed Automation Anywhere on AWS, Azure, and GCP, which works well."

"The scalability of this solution is good compared to others."

"We realized a return on investment with Automation Anywhere, especially during the COVID surge in volume within the payment process."

"In terms of monetary savings, we automated a bot in three days that has saved us $30,000 in costs."

"The general features, that we can automate a task that takes hours into minutes, are valuable."

"Automation Anywhere has helped my company with APIs. We are currently in a project to create APIs for our core banking service and other transactional systems, migrating from another integration technology to API."

More Automation Anywhere pros

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

"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."

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

"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."

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

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

"It provides the most valuable external analytics."

"The support is perfect and fantastic."

More Gemini Enterprise Agent Platform pros

"The best features Glean Platform offers are mostly the view, which I think is very good, and what I find most helpful about the view is that the user interface is very good, making it very easy to chat with the chatbot and get all the material that I want in the way that I need it."

"The best features Glean Platform offers include the ability to create my own agents, for example, I created a self-service agent for my stakeholders, so rather than email me, I sent them a link to an agent where the agent asks them questions and drills down to exactly what they need, and then I get a qualified response from them."

"Glean Platform offers excellent user interface design and integration capabilities with other platforms."

"Life became so easy when we started using Glean Platform."

"Productivity has really skyrocketed."

"Glean Platform has positively impacted our organization, especially in terms of productivity for both us and our customers."

"Since I have joined, I have built around ninety agents with Glean Platform, and it has saved our organization around twenty-seven hours a week for each user, and it has also positively impacted our ARR."

"When I searched for internal information spread across different systems, Glean Platform did centralize and retrieve that data for me effectively, giving me eighty percent accuracy."

More Glean Platform pros

Cons

"We would like to see more capability for integration and more customization available with some features."

"We looked at the Bot Store initially and didn't find much."

"I would like to see a built-in read-only role for the control room so that the bot creators can log in and monitor the production environment without any auditing concerns."

"Automation Anywhere changed OCR features in A2019. My suggestion is to improve the OCR command scope and usability. We use OCR for PDF data extraction as we use in V. 11.x product."

"I would like more with OCR and data capture."

"MetaBots and Control Room may have some room for improvement."

"We have in-house, a few variables, which we use from technical perspectives. We don't have them in Automation Anywhere, but they introduced them yesterday."

"Version 11 is a bit heavy. At times, it takes a toll on the computing resources. It consumes a lot for computing power. We have seen multiple instances where computers or the client has crashed because of this particular problem. Automation Anywhere can improve this a lot."

More Automation Anywhere cons

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

"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."

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

"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."

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

"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."

"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."

"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."

More Gemini Enterprise Agent Platform cons

"My experience with pricing, setup cost, and licensing is that the licenses were expensive, and it was hard to convince the company to adopt based on that."

"In workflow agents, I would prefer that we do not use AI in every step and instead we have a toggle button or something which can configure whether AI should be used in this specific search field or not, or in this specific node or not, because currently it's using AI in all nodes which sometimes messes up the output."

"My experience with pricing, setup cost, and licensing for Glean Platform reveals limited options, and I wish there was more customization available."

"There are multiple ways in which Glean Platform can be improved."

"Glean Platform can implement more models. The NLP creation could be a little faster, and while debugging is amazing, the routing also needs to provide higher quality outputs sometimes rather than extensive searching."

"Currently, Glean Platform does not integrate with Teams, Microsoft-owned platforms."

"I tried pulling in an architecture diagram of a workflow, and it pulled in some other image instead."

"I chose seven out of ten because if I could upload PDFs and have them analyzed, or have it integrate with my Gmail and help me go through my emails, that would be very useful, but I do not think it does that."

More Glean Platform cons

Pricing and Cost Advice

"I would like them to have better license management."

"The price for Automation Anywhere is reasonable."

"With the rebate processing automation that we did, it has provided us a savings of around an hour or two a person on a daily basis, which is quite a lot of savings."

"If we count the integrations that we have done with Appian, which is where a lot of our savings is from, we are well over a million dollars in savings. This is from only doing development for about a year and a half."

"It's an ideal pricing model to customize the components based on everyone's needs."

"My understanding is that the license cost of Automation Anywhere is more reasonable than UiPath and Blue Prism."

"The price of Automation Anywhere is a little higher than some of the competition, such as UiPath. However, depending on the use case and other factors we are able to receive some discounts."

"We would like them to change the license model of charging per bot."

More Automation Anywhere pricing and cost advice

"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 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."

Information not available

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Top Industries

By visitors reading reviews

Outsourcing Company

14%

Comms Service Provider

12%

Financial Services Firm

11%

Manufacturing Company

11%

Outsourcing Company

11%

Financial Services Firm

Manufacturing Company

Comms Service Provider

Financial Services Firm

15%

Outsourcing Company

14%

Manufacturing Company

11%

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	162
Midsize Enterprise	86
Large Enterprise	564

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	4
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	1
Large Enterprise	9

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...

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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...

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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.

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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...

See all answers

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...

See all answers

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...

See all answers

What is your experience regarding pricing and costs for Glean Platform?

My experience with pricing, setup cost, and licensing for Glean Platform reveals limited options, and I wish there wa...

See all answers

What needs improvement with Glean Platform?

In workflow agents, I would prefer that we do not use AI in every step and instead we have a toggle button or somethi...

See all answers

What is your primary use case for Glean Platform?

I use Glean Platform as an enterprise search tool and I am a power user of agents, so I mostly use this on a day-to-d...

See all answers

Comparisons

UiPath Platform vs Automation Anywhere

Compared 10% of the time

Blue Prism vs Automation Anywhere

Compared 5% of the time

Microsoft Power Automate vs Automation Anywhere

Compared 4% of the time

AutomationEdge vs Automation Anywhere

Compared 3% of the time

Appian vs Automation Anywhere

Compared 2% of the time

More Automation Anywhere Competitors

Azure OpenAI vs Gemini Enterprise Agent Platform

Compared 28% of the time

Microsoft Foundry vs Gemini Enterprise Agent Platform

Compared 8% of the time

Microsoft Azure Machine Learning Studio vs Gemini Enterprise Agent Platform

Compared 5% of the time

Amazon Bedrock vs Gemini Enterprise Agent Platform

Compared 3% of the time

Amazon SageMaker vs Gemini Enterprise Agent Platform

Compared 3% of the time

More Gemini Enterprise Agent Platform Competitors

Elastic Search vs Glean Platform

Compared 9% of the time

Claude for Enterprise vs Glean Platform

Compared 8% of the time

Breaking IT OpenClaw vs Glean Platform

Compared 6% of the time

Microsoft Copilot Studio vs Glean Platform

Compared 6% of the time

Coveo vs Glean Platform

Compared 4% of the time

More Glean Platform Competitors

Product Reports

Buyer's Guide

Automation Anywhere

October 2026

Download Automation Anywhere product report

Buyer's Guide

Gemini Enterprise Agent Platform

October 2026

Download Gemini Enterprise Agent Platform product report

Buyer's Guide

Glean Platform

October 2026

Download Glean Platform product report

Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)

Vertex, Google Vertex AI

Glean Work AI Platform

Interactive Demo

Automation Anywhere

Demo not available

Google

Demo not available

Glean

Overview

Automation Anywhere offers ease of use, robust system connectivity, and GenAI-driven document automation through a cloud-native platform, significantly enhancing productivity across multiple industries with advanced AI features.

Delivering a comprehensive suite of tools designed for easy integration and rapid deployment, Automation Anywhere drives efficiency by reducing costs and automating repetitive tasks. Its cloud-native platform supports broad industry adoption, including advanced AI features like process automation and Co-Pilot, streamlining complex workflows with minimal technical skills required. Users benefit from robust integration capabilities, which facilitate seamless interaction with multiple systems. However, there is room for improvement in areas such as user-friendliness for beginners, stability, flexible licensing, and enhanced OCR functionality. Organizations in sectors such as banking, finance, manufacturing, and healthcare gain from the improved operational efficiency and ROI Automation Anywhere offers.

What are the important features of Automation Anywhere?

Ease of Use: Simplifies automation tasks with a user-centric interface.
Robust Connectivity: Provides seamless integration with multiple systems.
GenAI-Driven Document Automation: Leverages AI to automate document management.
Process Automation & Co-Pilot: Enhances workflow automation with advanced AI.
Cloud-Native Platform: Enables rapid deployment and integration.

What benefits should be evaluated in reviews?

Time Savings: Automation drastically reduces manual processing time.
Cost Efficiency: Decreases overall operational costs by automating tasks.
Productivity Enhancement: Streamlines workflows with AI-driven tools.
Improved Integration: Enhances ability to work with multiple systems.
Scalability: Supports growth with a flexible cloud-native architecture.

In the insurance industry, Automation Anywhere is utilized for automating processes such as enrollment management and compliance checks. Its applications extend to supply chain management, financial transactions, and business performance monitoring across sectors like banking, finance, manufacturing, and healthcare, helping organizations to automate routine tasks, improve efficiency, and reduce costs.

Automation Anywhere

Gemini Enterprise Agent Platform offers advanced AI capabilities with large language and vision models, a seamless Google ecosystem integration, and low-code/no-code options, enhancing AI agent development, deployment, and monitoring.

Gemini Enterprise Agent Platform empowers businesses with its comprehensive AI development environment, focusing on generative and agentic AI applications. It streamlines tasks like chatbots, document summarization, and data workflows integration. Despite its complexity and high cost, it offers advantages in feature centralization, end-to-end integration, external analytics, and multi-model capabilities. Challenges include navigation issues, setup complexity, and documentation accessibility. Users wish for improved model efficiency, system integration, customer support, and a more user-friendly experience for non-technical users. The platform's potential in optimizing machine learning modules and managing fintech tasks makes it valuable for organizations seeking robust AI model management.

What are Gemini Enterprise Agent Platform's Key Features?

Large Language and Vision Models: Enhance AI capabilities across diverse applications.
Google Ecosystem Integration: Seamlessly integrates within Google's platforms.
Feature Store: Centralizes features for better team communication and model management.
Low-Code/No-Code Options: Facilitates AI development with minimal coding.
End-to-End Integration: Offers comprehensive tools for agent deployment and monitoring.

What Benefits and ROI Should Users Look For?

Feature Centralization: Streamlines communication and coordination across teams.
Integration Ease: Simple integration with existing systems enhances operational efficiency.
AI Optimization: Improves machine learning modules, reducing costs and boosting efficiency.
Advanced Language Analytics: Enables better data insights via keyword detection and document processing.

Gemini Enterprise Agent Platform finds application in industries focusing on generative AI and agentic tasks. Businesses use it for chatbots, document summarization, and fintech-related tasks, benefiting from its capabilities in handling large documents, keyword detection, and language analytics. Its ease of integration with current systems is a significant advantage for many organizations.

Google

Glean Platform harnesses cutting-edge technology to empower organizations, bridging data access gaps and enhancing productivity through its advanced search and knowledge capabilities.

Glean Platform transforms how organizations operate by integrating powerful search functions with intelligent knowledge management tools. It empowers users to locate and utilize information efficiently, fostering a more connected work environment. Its dynamic capabilities provide seamless integration, enabling users to access critical data swiftly, thus driving informed decision-making processes within teams. Designed for scalability, Glean Platform adapts to varying enterprise needs, ensuring customized solutions that align with business objectives.

What features does Glean Platform offer?

Intelligent Search: Delivers precise search results tailored to user queries.
Knowledge Graph: Visualizes connections between data for better insights.
Seamless Integration: Works with a wide range of existing tools and applications.
Security Controls: Protects data with robust security features.

What are user benefits and ROI?

Increased Productivity: Reduces time spent searching for information.
Enhanced Collaboration: Facilitates knowledge sharing across teams.
Scalability: Grows with the organization’s evolving needs.
Improved Decision-Making: Provides access to real-time information.

In industries like finance and healthcare, Glean Platform aids in streamlining operations by offering tailored data solutions that adhere to specific compliance standards. By facilitating efficient information retrieval, it supports critical tasks such as data analysis and regulatory reporting.

Glean

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics

Information Not Available

Buyer's Guide

Gemini Enterprise Agent Platform vs. Glean Platform

September 2026

Free Report: Gemini Enterprise Agent Platform vs. Glean Platform

Find out what your peers are saying about Gemini Enterprise Agent Platform vs. Glean Platform and other solutions. Updated: September 2026.

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