Glassbox vs Snowflake Analytics comparison

Glassbox and Snowflake Computing are both solutions in the Web Analytics category. Glassbox is ranked #7 with an average rating of 8.5, while Snowflake Computing is ranked #2 with an average rating of 8.5. Glassbox holds a 3.3% mindshare in WA, compared to Snowflake Computing’s 3.0% mindshare. Additionally, 100% of Glassbox users are willing to recommend the solution, compared to 100% of Snowflake Computing users who would recommend it.

Glassbox

Read 2 Glassbox reviews

671 Views
570 Comparison Views

100% willing to recommend

Snowflake Analytics

Read 43 Snowflake Analytics reviews

2,261 Views
814 Comparison Views

100% willing to recommend

Glassbox

Snowflake Analytics

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Glassbox and Snowflake Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Amplitude, Snowflake Computing, Google and others in Web Analytics.

To learn more, read our detailed Web Analytics Report (Updated: April 2026).

Buyer's Guide

Web Analytics

April 2026

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Helped 893,221 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

Glassbox

Ranking in Web Analytics

7th

Average Rating

8.6

Number of Reviews

Ranking in other categories

Customer Data Analysis (2nd)

Snowflake Analytics

Ranking in Web Analytics

2nd

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (12th)

Mindshare comparison

As of May 2026, in the Web Analytics category, the mindshare of Glassbox is 3.3%, down from 3.6% compared to the previous year. The mindshare of Snowflake Analytics is 3.0%, down from 5.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Web Analytics Mindshare Distribution
Product	Mindshare (%)
Snowflake Analytics	3.0%
Glassbox	3.3%
Other	93.7%

Web Analytics

Featured Reviews

Mohammad Saad

Technical consultant at Ernst and young

Digital experience insights have improved funnel decisions and now optimize checkout journeys

There are multiple features of Glassbox. One major feature of Glassbox is the Struggle Score that will be applied to every session by identifying the behavior of rage clicks, excessive scrolling, or dead clicks. It correlates the struggle with the revenue impact. Instead of seeing a list of a thousand errors, I will see five errors actually costing us the most money, helping me prioritize what to fix first. In addition to that, in the tagless capture, there are some benefits such as no manual coding will be required and immediate answers to any questions. That is the best feature of Glassbox as well. Glassbox positively impacts my organization by increasing our productivity using its features.

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Garima Goel

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.

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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

"I have seen a return on investment, having saved a lot of money and time."

"Glassbox positively impacted our organization because we got a one-stop solution to track all different journeys, different dashboards, and different applications."

"While we've done many complex implementations, Snowflake always has a way of simplifying things."

"The solution is completely managed and that's fantastic."

"What we found most valuable in Snowflake Analytics are its attributes that are very convenient for business use such as data sharing, cloning, time travel, and fail-safe. It's a good product all in all."

"Snowflake Analytics has a bright future and is capturing the market across various domains such as life sciences, BFSI, and supply chain."

"Snowflake Analytics' predictive analytics elements, which incorporate AI, are good and easy to integrate."

"Snowflake Analytics is pretty easy to use with the connectors for integration with the tools and systems in my company."

"It is quite a convenient tool."

"Its performance speed is very good."

More Snowflake Analytics pros

Cons

"Glassbox can be improved because it is somewhat complex and there is a steep learning curve that requires training."

"Glassbox can be improved in various ways. I think performance and lag are areas needing improvements."

"Snowflake Analytics can improve the integration with machine learning tools and AI and it will make the solution more usable."

"Integration into different Python and Jupyter notebooks needs to be improved."

"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."

"The tool should support EIM use cases. I guess the product is already working on it. I look forward to seeing inbuilt AI generative tools in the solution's future releases. The tool's price can be a little lower. The solution's on-premises support is also very limited. We have to rely on other support services to deploy it on-premises."

"The pricing visibility is complex. If you understand pricing, you can estimate costs, but if not, it can be challenging."

"The platform's data governance space needs more capability."

"The platform could work easier for AI implementation compared to one of its competitors."

More Snowflake Analytics cons

Pricing and Cost Advice

Information not available

"The tool is quite expensive."

"I have been using free trial version."

"On a scale of one to ten, where one is a low price, and ten is a high price, I rate the pricing a seven. The solution's pricing is high."

"The product's pricing is subjective."

"The solution's price is high and I would rate it an eight out of ten."

"The cost of Snowflake Analytics is low, any small organization can use it."

"It is an expensive solution, but the kind of usability and flexibility it proactively provides for the organizations justify the price."

"The solution's pricing is affordable."

More Snowflake Analytics pricing and cost advice

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893,221 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Computer Software Company

10%

Financial Services Firm

Construction Company

Marketing Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	13
Large Enterprise	21

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.

See all answers

What needs improvement with Glassbox?

Glassbox can be improved in various ways. I think performance and lag are areas needing improvements. Basically, it is a platform speed issue. Users have reported performance lag, especially when r...

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What is your primary use case for Glassbox?

My main use case for Glassbox is to utilize it for the product layouts and the checkout funnels. In our main use case, we have to use two homepages, such as get your money and we have some apply no...

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What do you like most about Snowflake Analytics?

Its performance speed is very good.

See all answers

What is your experience regarding pricing and costs for Snowflake Analytics?

Snowflake Analytics is quite economical. It does not appear to incur significant extra expenses beyond the solution's initial cost. However, a complete pricing analysis is still in progress.

See all answers

What needs improvement with Snowflake Analytics?

In my opinion, Snowflake Analytics can be improved by introducing more features, such as additional integration options. I remember using Snowflake Pro, which allows exporting direct data into the ...

See all answers

Comparisons

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Compared 17% of the time

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Compared 16% of the time

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Compared 16% of the time

Mixpanel vs Glassbox

Compared 6% of the time

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Compared 9% of the time

Amplitude vs Snowflake Analytics

Compared 7% of the time

Keen IO vs Snowflake Analytics

Compared 6% of the time

SAP Business Data Cloud vs Snowflake Analytics

Compared 6% of the time

AWS Lake Formation vs Snowflake Analytics

Compared 3% of the time

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Product Reports

Buyer's Guide

Customer Data Analysis

April 2026

Download Glassbox product report

Buyer's Guide

Snowflake Analytics

April 2026

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Overview

Glassbox is a digital experience analytics platform that helps organizations optimize customer service by providing insights into digital interactions. It empowers teams to enhance user journeys and increase customer satisfaction.

Glassbox offers comprehensive monitoring of web and mobile applications to improve digital journeys. It captures, records, and analyzes vast amounts of data in real-time. This provides deep insights into user behavior, allowing businesses to identify friction points quickly. By providing granular data, Glassbox enables targeted improvements that drive customer retention and engagement. Its analytic capabilities streamline the process of making informed decisions to optimize digital experiences.

What are Glassbox's key features?

Real-Time Analytics: Offers immediate insights into digital interactions to address issues swiftly.
Session Replay: Provides detailed playback of user sessions for granular behavior analysis.
Customer Journey Mapping: Visualizes user paths to identify pain points.
Error Monitoring: Detects and addresses issues proactively to reduce abandonment rates.
Compliance Tracking: Ensures adherence to privacy and regulatory standards.

What benefits should users consider in reviews?

Enhanced User Experience: Drives improvement in customer satisfaction through detailed insights.
Increased Conversion Rates: Identifies and resolves roadblocks that impede conversions.
Data-Driven Decisions: Empowers teams with actionable data for strategic decisions.
Operational Efficiency: Facilitates quicker problem resolution and ongoing optimization.

Glassbox is implemented across industries such as finance and retail to enhance user interactions. In finance, it identifies transaction issues to streamline operations. Retail businesses leverage it to personalize shopping experiences, leading to higher engagement. Its versatility makes it indispensable for organizations aiming to refine digital customer service.

Glassbox

Snowflake Analytics offers advanced capabilities in data warehousing and cloud data migration, with support for machine learning and business intelligence tasks. Its scalable architecture supports large data volumes while enhancing cost efficiency through decoupled computation and storage.

As a flexible, managed environment, Snowflake Analytics enhances data sharing and integration across multiple cloud platforms. It allows seamless data pipeline creation, supports advanced analytics, and facilitates reporting and visualization. Despite facing integration challenges with legacy systems and complex queries, Snowflake's continuous improvements aim to address these issues, making it a reliable choice for organizations transitioning to the cloud.

What features define Snowflake Analytics?

Time Travel: Enables users to access historical data effortlessly.
Zero-Copy Cloning: Allows cloning of data without storage costs.
Scalability: Easily handles large data volumes.
Data Sharing: Facilitates seamless data sharing across platforms.
Decoupled Architecture: Enhances cost efficiency by separating computation and storage.

What benefits should businesses look for in Snowflake reviews?

Cost Efficiency: Optimized costs through advanced storage management.
Performance: High-speed computations and real-time analytics.
Security: End-to-end encryption ensuring data security.
Flexibility: Supports multiple cloud environments for diverse needs.

Enterprises across industries utilize Snowflake Analytics for its robust data handling and cloud integration capabilities. It serves sectors in need of efficient data warehousing, real-time analytics, and machine learning support, making it suitable for cloud migration and enhancing business intelligence operations.

Snowflake Computing

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 Amplitude, Snowflake Computing, Google and others in Web Analytics. Updated: April 2026.

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