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Glassbox vs Snowflake Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

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

Glassbox
Ranking in Web Analytics
5th
Average Rating
7.8
Number of Reviews
10
Ranking in other categories
Customer Data Analysis (2nd)
Snowflake Analytics
Ranking in Web Analytics
2nd
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
44
Ranking in other categories
Cloud Data Warehouse (12th)
 

Mindshare comparison

As of August 2026, in the Web Analytics category, the mindshare of Glassbox is 3.6%, up from 3.1% compared to the previous year. The mindshare of Snowflake Analytics is 3.3%, down from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Web Analytics Mindshare Distribution
ProductMindshare (%)
Snowflake Analytics3.3%
Glassbox3.6%
Other93.1%
Web Analytics
 

Featured Reviews

James Dascole - PeerSpot reviewer
Manager at Charter Communications
Customer journeys have become clearer and real-time insights now highlight needed reporting improvements
One improvement I want to mention is that the way I had Glassbox set up was through the data layer; I am a technical person, so I used a Google Dev screen to search within Glassbox for segments rather than using the Adobe API connection, which I think would have been preferable since others have reported better success with that. I give Glassbox a seven because I would have preferred it connected through Adobe rather than through the data layer, which complicates training for non-technical staff to build custom reports; having the Adobe API set up would have made finding Adobe segments easier.
Garima Goel - PeerSpot reviewer
Associate Principal Engineer at Nagarro
Have created secure cloud-based data lakes and improved real-time data processing using integrated AI features
There are many capabilities which Snowflake Analytics offers that I find valuable, such as the storage and compute engine that allows working with any cloud system such as AWS or Azure, alongside its efficiencies in storage computation and cost-effectiveness, which saves money compared to on-premise systems. We also have features such as pre-cached results, Time Travel, and fail-safe, which are very useful for restoring data if deleted accidentally, and the streams and data pipes that facilitate real-time ingestion are great features as well. Snowflake Analytics offers multiple new connectors, allowing me to connect it with Kafka, and with Snowpark, I can work with any programming language such as Python, Java, or Scala for data processing and analysis. The data sharing feature offered by Snowflake Analytics is good because it allows sharing specific sets of data to end customers or users from different Snowflake Analytics accounts without exposing the entire dataset for data security reasons. Snowflake Analytics' support for machine learning models and real-time insights has enhanced significantly. Originally, it wasn't strong in AI/ML, but now it has multiple models and forecasting capabilities, providing good competition to tools such as Databricks and Spark. In BI, I have worked majorly with Microsoft Power BI, and the integration with Snowflake Analytics is very easy. The way we integrate Snowflake Analytics with other on-premise systems just requires the warehouse details, username, passwords, and the account name, along with multiple options such as client ID and credentials for logging in and creating a session. The end-to-end encryption provided by Snowflake Analytics is very important because, in my previous firm, working in finance and investment management, data encryption is necessary due to the sensitive nature of customer data and the involvement of people's money. It's crucial to have encryption in transit and at rest, along with data masking features which Snowflake Analytics offers.

Quotes from Members

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

Pros

"I have noted a return on investment since employees previously took two days to manually identify data, but now they complete the same work within four hours thanks to Glassbox, which reduces working hours and translates into cost savings for us."
"I have seen a return on investment, having saved a lot of money and time."
"One of the biggest benefits of using Glassbox is faster issue identification and better visibility into customer experience problems."
"Glassbox has helped us save considerable money and time."
"Glassbox has helped us reduce the time required to investigate customer issues, improve digital experience, and make data-driven decisions."
"Glassbox is a tool I use all the time; it is one of our most popular tools."
"Glassbox has reduced the turnaround time of customer incidents, and it is saving a lot of time and money for us."
"Glassbox positively impacted our organization because we got a one-stop solution to track all different journeys, different dashboards, and different applications."
"It is quite a convenient tool."
"It ensures the optimization of the application development while maintaining the user-friendly nature of its UI."
"The Snowflake features I find most beneficial for data analysis are primarily related to analytics, particularly their features like materialized views and queues, which are especially useful for dashboarding purposes."
"The advanced features like time travel, zero copy cloning and scalability have been most useful. Snowflake requires zero maintenance for Data Warehousing on the cloud system."
"Snowflake Analytics is flexible in nature, allowing for the addition of more data tables without affecting the main structure."
"Snowflake Analytics' most valuable feature is its inbuilt infrastructure for executing queries, which I don't have to manage based on my data volume as it's taken care of by Snowflake."
"The most important feature is the warehouse functionality."
"It can run complex workloads with varied compute."
 

Cons

"Glassbox can be improved in various ways. I think performance and lag are areas needing improvements."
"Glassbox can be improved because it is somewhat complex and there is a steep learning curve that requires training."
"Glassbox is not the best when it comes to back-end data and capturing things such as server time and response time."
"I give Glassbox a seven because I would have preferred it connected through Adobe rather than through the data layer, which complicates training for non-technical staff to build custom reports; having the Adobe API set up would have made finding Adobe segments easier."
"Glassbox is powerful, but I think the user interface could be more intuitive for new users."
"Glassbox is not stable in my experience. Glassbox often has downtime and technical issues; reports are not loading and there are login errors."
"I choose a seven because, despite helping in user behavior and error counting, session replays have been a significant pain point for me, and UI navigation can become complex."
"There are sometimes issues with Glassbox itself where some alerts do not get captured or the GIA integration does not show correct results, but it is being learned and improving."
"Snowflake Analytics can improve the integration with machine learning tools and AI and it will make the solution more usable."
"AIML-based SQL prompt and query generation could be an area for enhancement."
"Snowflake Analytics should probably have more built-in tools for master data management."
"For modeling of data as well as for AI and predictive analytics, they need to improve their integration into different Python and Jupyter notebooks."
"Snowflake could improve in the areas of advanced machine learning AML and generative AI."
"Moving data from legacy systems to Snowflake is not that easy. There are some cases where processors are not actually compatible with Snowflake."
"When we insert data into a large table, it takes a lot of time."
"One improvement Snowflake Analytics could benefit from is in cost, particularly during peak hours."
 

Pricing and Cost Advice

Information not available
"I have been using free trial version."
"The cost of Snowflake Analytics is low, any small organization can use it."
"I rate the product's licensing cost a five or six on a scale of one to ten, where one is low price, and ten is high price."
"I rate the product price a seven on a scale of one to ten, where one is low price, and ten is high price."
"The solution's pricing is affordable."
"Snowflake Analytics is not an expensive solution, and its pricing is average."
"It is not overly expensive. I would rate the pricing a six out of ten, with ten being expensive."
"The product's pricing is subjective."
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Top Industries

By visitors reading reviews
Computer Software Company
20%
Financial Services Firm
16%
Outsourcing Company
11%
Manufacturing Company
6%
Construction Company
17%
Outsourcing Company
9%
Financial Services Firm
8%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Large Enterprise9
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise13
Large Enterprise23
 

Questions from the Community

What is your experience regarding pricing and costs for Glassbox?
My experience with pricing, setup cost, and licensing is great, and it is cost-effective. The pricing is good, and licensing is also easy.
What needs improvement with Glassbox?
One frustration I have experienced with Glassbox is that with large amounts of session data, it could sometimes take time to filter and narrow down the exact user journey I want to analyze. Additio...
What is your primary use case for Glassbox?
I have been familiar with Glassbox for around one to two years through enterprise digital experience and analytics-related discussions in the project, and my exposure has mainly been from a product...
What is your experience regarding pricing and costs for Snowflake Analytics?
The pricing for Snowflake Analytics is reasonable, but as I am not part of the management team, I am not certain about our organization's exact costs. Overall, the return on investment for this too...
What needs improvement with Snowflake Analytics?
One improvement Snowflake Analytics could benefit from is in cost, particularly during peak hours. Sometimes, due to its automatic scalability, we think it has scaled up, but it does not always hap...
What is your primary use case for Snowflake Analytics?
I am using Snowflake Analytics because we are already using Snowflake for data engineering and data warehousing tasks, and we are using it for analytics as well as business intelligence reporting. ...
 

Overview

 

Sample Customers

Bank Leumi
Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper
Find out what your peers are saying about Glassbox vs. Snowflake Analytics and other solutions. Updated: June 2026.
908,800 professionals have used our research since 2012.