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.

Comparison Buyer's Guide

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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

"The impact on efficiency from Document Automation is significant, as it has given us approximately 70 to 80 percent of savings, with almost close to 90 percent efficiency and cost savings of approximately 70 to 80 percent of an FTE per person."

"The most valuable feature is that it is intuitive. It is designed so business users can use it with a drag and drop functionality to develop automation of business processes. Since they are the experts on business processes, there are probably the best ones to create the automation."

"IQ Bots are extremely powerful. We are using them increasingly more where we're about to look through a lot unstructured sources, like PDF documents, scanned images, contracts, etc. We are able to take the data out, then use that toward processing structured data and creating insights for our clients."

"AA has helped to automate a complex Audit process, saving auditors from doing the mundane manual task of logging into multiple applications independently while the bot securely manages credentials, collects screenshots, builds PDFs, and reports results."

"The best features of Automation Anywhere are having a user-friendly interface and the ability to integrate AI, and APIs and services like OpenAI's ChatGPT can be integrated, enhancing its functionality."

"It is an easy product. It is easier and less complex than any other RPA tool in the market. It is a popular product."

"We have a lot of clients who use AA bots in their own process. Automated that are automated require less human input. AA bots save lots of time, increase efficiency, deliver accurate output, and provide consistency which improves the overall function of processes in different domains."

"Automation Anywhere has helped me save both time and costs, with savings of approximately eight million in the last two to three years, and in terms of percentage, I saved around thirty to forty percent of time compared to before using Automation Anywhere."

More Automation Anywhere pros

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

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

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

"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."

"It provides the most valuable external analytics."

"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."

"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."

"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 Gemini Enterprise Agent Platform pros

"Productivity has really skyrocketed."

"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."

"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."

"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."

"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."

"Glean Platform has positively impacted my organization by speeding up a lot of repetitive tasks and making it easier for people outside of support to understand what kind of issues impact the support groups."

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

More Glean Platform pros

Cons

"It should be easier to use."

"More interactions with PDFs would be great for Automation Anywhere. The ability to use more legacy technology for object cloning, flash plugins, etc. A lot of their Excel commands could use some improvement."

"We have had a lot of issues using Automation Anywhere and find ourselves stuck."

"I would rate Automation Anywhere's support a four out of ten because the support is horrible for all customers."

"Technical support is not very good and they sometimes promise what they cannot deliver. They promised us that they would implement multitrigger and according to sources delivery of that functionality is not in their plans."

"I have seen that the South American support is not as good as it should be."

"Automation Anywhere could improve by incorporating better integration with DevOps."

"We've struggled with some of the new features Automation Anywhere added in the latest version. For example, they added a new OpenAI package, but it took a while for me to find it in the actions menu."

More Automation Anywhere cons

"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."

"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."

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

More Gemini Enterprise Agent Platform cons

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

"Sometimes Glean Platform gets slowed down."

"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."

"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."

"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."

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

"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."

More Glean Platform cons

Pricing and Cost Advice

"Our annual licensing costs are about $500,000."

"This is a value for the money product."

"The setup cost depends on multiple factors, so you need to get details before choosing."

"AA comes at a more affordable price than the other tools."

"We have established a CoE and we take our bot opportunities based on their ROIs. The best ROI opportunity goes to development first. Our ROI opportunities are compliance, profitable growth, productivity enhancements, productivity gains, number of hours the productivity saved, and resources not available that the work can be done by the bot. However, the single most important criteria that we use to measure ROI is how much time does the bot cut down from an analyst's work, as this has the best ROI. E.g., if an analyst is spending a 100 hours of work that a bot can do in one hour, we calculate the 99 hours saved as ROI."

"We are a partner of Automation Anywhere and find the pricing to be reasonable."

"The pricing is a bit higher."

"It is not too expensive, but there are many tools available in the market that can provide the same functionality at a cheaper price."

More Automation Anywhere 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 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"

"The solution's pricing is moderate."

Information not available

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Top Industries

By visitors reading reviews

Outsourcing Company

15%

Comms Service Provider

12%

Financial Services Firm

12%

Manufacturing Company

11%

Outsourcing Company

11%

Manufacturing Company

Financial Services Firm

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	563

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...

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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...

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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...

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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 6% 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

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Azure OpenAI vs Gemini Enterprise Agent Platform

Compared 28% of the time

Microsoft Foundry vs Gemini Enterprise Agent Platform

Compared 9% 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 4% of the time

Hugging Face vs Gemini Enterprise Agent Platform

Compared 3% of the time

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Elastic Search vs Glean Platform

Compared 10% 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

Kore.ai 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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