Gemini Enterprise Agent Platform vs Glean Platform comparison

Google and Glean are both solutions in the AI-Agent Builders category. Google is ranked #5 with an average rating of 8.1, while Glean is ranked #4 with an average rating of 8.5. Google holds a 8.5% mindshare in AIAB, compared to Glean’s 4.2% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 100% of Glean users who would recommend it.

Gemini Enterprise Agent Pla...

Read 15 Gemini Enterprise Agent Platform reviews

7,236 Views
434 Comparison Views

100% willing to recommend

Glean Platform

Read 11 Glean Platform reviews

1,226 Views
221 Comparison Views

100% willing to recommend

Gemini Enterprise Agent Pla...

Glean Platform

Comparison Buyer's Guide

Download the report

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: March 2026).

Buyer's Guide

Gemini Enterprise Agent Platform vs. Glean Platform

March 2026

Download the complete report

Helped 889,955 peers since 2012

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

Gemini Enterprise Agent Pla...

Ranking in AI-Agent Builders

5th

Average Rating

8.2

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

AI Development Platforms (1st)

Glean Platform

Ranking in AI-Agent Builders

4th

Average Rating

8.4

Number of Reviews

Ranking in other categories

Indexing and Search (3rd), Search as a Service (4th), AI Software Development (177th), AI Customer Support (71st)

Mindshare comparison

As of April 2026, in the AI-Agent Builders category, the mindshare of Gemini Enterprise Agent Platform is 8.5%, up from 2.5% compared to the previous year. The mindshare of Glean Platform is 4.2%. It is calculated based on PeerSpot user engagement data.

AI-Agent Builders Mindshare Distribution
Product	Mindshare (%)
Glean Platform	4.2%
Google Vertex AI	8.5%
Other	87.3%

AI-Agent Builders

Featured Reviews

Hamada Farag

Technology Consultant at Beta Information Technology

Customization and integration empower diverse AI applications

We are familiar with most Google Cloud services, particularly infrastructure services, storage, compute, AI tools, containerization, GCP containerization, and cloud SQL. We are familiar with approximately eighty percent of Google's services, primarily related to infrastructure, AI, containers, backup, storage, and compute. We are familiar with Gemini AI and Google Vertex AI, and we have completed some exercises and cases with our customers for Google AI. We use automation in machine learning. I work with a team where everyone has specific responsibilities. We have design and development processes in place. Based on my experience, I would rate Google Vertex AI a 9 out of 10.

Read full review

Ananya Bl

Data Analyst at Capgemini

Daily orchestration of complex ai workflows has boosted my research and automation capabilities

Orchestration primarily decides which agent handles which part of a task and manages errors, retries, and complete state while maintaining the workflow effectively. On the orchestration side, branching, looping, and human approvals support non-linear workflows in production environments with real-time access. Through refined and improved prompts, this helps in closing the loop with actual users. One unique feature that stood out is that every step in the workflow can pause or recover from failures. Instead of finishing the entire agent in one go, this approach is interesting because if there is a minor change in a previously completed step regarding the state, I can re-edit and restart from the beginning. This is truly impressive.

Read full review

Quotes from Members

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

Pros

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

"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."

"The support is perfect and fantastic."

"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."

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

"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."

"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."

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."

"Productivity has really skyrocketed."

"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."

"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."

"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 increased productivity by at least one hundred hours per week for my organization."

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

More Glean Platform pros

Cons

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

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

"It takes a considerable amount of time to process, and I understand the technology behind why it takes this long, but this is something that could be reduced."

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

"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."

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

"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."

"We used AutoML feature for developing AI models automatically, but we are not comfortable with the performance of those models."

More Gemini Enterprise Agent Platform cons

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

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

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

"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."

"Sometimes Glean Platform gets slowed down."

"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."

"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."

More Glean Platform cons

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 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."

"The solution's pricing is moderate."

Information not available

See which vendors are best for you

Use our free recommendation engine to learn which AI-Agent Builders solutions are best for your needs.

See recommendations

889,955 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

10%

Computer Software Company

10%

Manufacturing Company

10%

Comms Service Provider

Financial Services Firm

23%

Manufacturing Company

Outsourcing Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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	8

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?

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. To ...

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, as our deployment is primarily on AWS, and we use API calls.

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 was more customization available.

See all answers

What needs improvement with Glean Platform?

I would appreciate a change to the color scheme of Glean Platform as a needed improvement, even if it is something small or minor.

See all answers

What is your primary use case for Glean Platform?

My main use case for Glean Platform is general use at an introductory level.

See all answers

Comparisons

Azure OpenAI vs Gemini Enterprise Agent Platform

Compared 22% of the time

Microsoft Azure Machine Learning Studio vs Gemini Enterprise Agent Platform

Compared 10% of the time

Azure AI Foundry vs Gemini Enterprise Agent Platform

Compared 8% of the time

Hugging Face vs Gemini Enterprise Agent Platform

Compared 6% of the time

Amazon Bedrock vs Gemini Enterprise Agent Platform

Compared 6% of the time

More Gemini Enterprise Agent Platform Competitors

Elastic Search vs Glean Platform

Compared 23% of the time

n8n vs Glean Platform

Compared 8% of the time

Dust vs Glean Platform

Compared 7% of the time

Exa vs Glean Platform

Compared 7% of the time

Agentforce vs Glean Platform

Compared 3% of the time

More Glean Platform Competitors

Product Reports

Buyer's Guide

Gemini Enterprise Agent Platform

April 2026

Download Gemini Enterprise Agent Platform product report

Buyer's Guide

Glean Platform

April 2026

Download Glean Platform product report

Also Known As

Vertex, Google Vertex AI

Glean Work AI Platform

Overview

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

Buyer's Guide

Gemini Enterprise Agent Platform vs. Glean Platform

March 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: March 2026.

DOWNLOAD NOW

889,955 professionals have used our research since 2012.

See our Gemini Enterprise Agent Platform vs. Glean Platform report.

See our list of best AI-Agent Builders vendors.

We monitor all AI-Agent Builders reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.