Microsoft Clarity vs Snowflake Analytics comparison

Microsoft and Snowflake Computing are both solutions in the Web Analytics category. Microsoft is ranked #14 with an average rating of 7.0, while Snowflake Computing is ranked #2 with an average rating of 8.5. Microsoft holds a 1.6% mindshare in WA, compared to Snowflake Computing’s 3.2% mindshare. Additionally, 100% of Microsoft users are willing to recommend the solution, compared to 100% of Snowflake Computing users who would recommend it.

Microsoft Clarity

Read 1 Microsoft Clarity review

364 Views
364 Comparison Views

100% willing to recommend

Snowflake Analytics

Read 44 Snowflake Analytics reviews

2,633 Views
1,001 Comparison Views

100% willing to recommend

Microsoft Clarity

Snowflake Analytics

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Microsoft Clarity 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: June 2026).

Buyer's Guide

Web Analytics

June 2026

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Helped 900,644 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

Microsoft Clarity

Ranking in Web Analytics

14th

Average Rating

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Snowflake Analytics

Ranking in Web Analytics

2nd

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (12th)

Mindshare comparison

As of June 2026, in the Web Analytics category, the mindshare of Microsoft Clarity is 1.6%, up from 1.1% compared to the previous year. The mindshare of Snowflake Analytics is 3.2%, down from 5.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Web Analytics Mindshare Distribution
Product	Mindshare (%)
Snowflake Analytics	3.2%
Microsoft Clarity	1.6%
Other	95.2%

Web Analytics

Featured Reviews

Suleyman Suleyman

QA Automation Lead at Mashvisor

Heat maps have guided user behavior insights but session replays still need more accurate rendering

The heat map functionality is very valuable. For example, in our application there is a search box where users write an address, and it searches at the state or city level. If there is a bug in our input box, it has very high critical severity. These are the things I use it for. I can also see in which state our application is used the most. We have 16 or 18 projects in our Meshvisor, and I can see which applications are used most by users. If an application is not valued by people, there is no need to dedicate much time to it.

Read full review

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.

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

"I use Microsoft Clarity to watch these videos on a weekly basis to understand what users are experiencing."

"In most cases, Snowflake improves our operational efficiency if we optimize the warehouse."

"Considering everything I have accessed, the product's dashboard is good since it provides multiple good options, including customization options."

"The latest interface of Snowsight UI has added good capabilities and the interface is excellent."

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

"It's a scalable solution because you can analyze a huge amount of data in the solution."

"It can run complex workloads with varied compute."

"I am impressed with the product's data-sharing feature."

"The most valuable features of Snowflake for our data analytics are its time travel capability, allowing easy data recovery, and its automatic optimization of partitioning and clustering."

More Snowflake Analytics pros

Cons

"Sometimes when I watch the videos, I can see that because of CSS issues, Microsoft Clarity is also showing some UI elements in incorrect places."

"Machine learning in Snowflake isn't as advanced as in other products. I haven't heard of any successful industry-wide use cases of machine learning implemented in Snowflake. It might take a couple of years to reach the same level as Databricks."

"A room for improvement in Snowflake Analytics is Spark, particularly its connector for Spark. An additional feature I'd like to see in the next release of the solution is built-in analytics."

"If you have a lot of computations, Snowflake becomes costlier."

"Snowflake could improve in the areas of advanced machine learning AML and generative AI."

"I cannot comment on the product's stability because we are still struggling with its performance."

"Snowflake's Snowpark is an area of concern where improvements are required."

"We were experiencing errors while running reports and making connections."

"Implementing everything on-premise is challenging because it require proper support from advisors, DBAs, and others."

More Snowflake Analytics cons

Pricing and Cost Advice

Information not available

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

"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."

"When using Snowflake, you pay based on your usage. They calculate how much CPU has been used. If you use excess warehouse storage, you are charged one credit per hour. If you are in Asia, you are charged $3 per credit. If you have 10 users running parallel with the same excess, you will be charged $30."

"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 product's pricing is subjective."

"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."

"It is not overly expensive. I would rate the pricing a six out of ten, with ten being expensive."

"Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query."

More Snowflake Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Construction Company

15%

Financial Services Firm

Computer Software 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	23

Questions from the Community

What needs improvement with Microsoft Clarity?

Sometimes when I watch the videos, I can see that because of CSS issues, Microsoft Clarity is also showing some UI elements in incorrect places. I captured a bug when I watched the video in Clarity...

See all answers

What is your primary use case for Microsoft Clarity?

I am using Microsoft Clarity for its heat map functionality to understand general user habits and where our users and customers are using the application most across different pages. When there is ...

See all answers

What advice do you have for others considering Microsoft Clarity?

I am a QA engineer with more than six years of experience as an automation engineer using programming languages to automate testing, and more than ten years of experience in manual testing. My revi...

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

What is your primary use case for Snowflake Analytics?

Snowflake Analytics' data sharing feature has been instrumental for us because we were working with huge data sizes. Our workflow involved dumping data initially into an AWS S3 bucket, then sharing...

See all answers

Comparisons

Google Analytics vs Microsoft Clarity

Compared 36% of the time

Amplitude vs Microsoft Clarity

Compared 32% of the time

StatCounter vs Microsoft Clarity

Compared 23% of the time

More Microsoft Clarity Competitors

BigQuery vs Snowflake Analytics

Compared 9% of the time

Amplitude vs Snowflake Analytics

Compared 8% of the time

Keen IO vs Snowflake Analytics

Compared 7% of the time

Firebolt vs Snowflake Analytics

Compared 6% of the time

Adobe Analytics vs Snowflake Analytics

Compared 5% of the time

More Snowflake Analytics Competitors

Product Reports

Buyer's Guide

Web Analytics

June 2026

Download Microsoft Clarity product report

Buyer's Guide

Snowflake Analytics

May 2026

Download Snowflake Analytics product report

Overview

Microsoft Clarity offers a powerful web analytics tool designed for optimizing digital experiences. It provides insights into user behavior without impacting website performance, enabling enhanced site functionality.

Microsoft Clarity delivers comprehensive user behavior analytics, focusing on real-time data and interactive metrics. It is ideal for organizations aiming to understand site usage deeply, leveraging heatmaps, session recordings, and conversion metrics. Its intuitive interface facilitates data-driven decisions and enhances user interactions.

What features make Microsoft Clarity a valuable tool?

Heatmaps: Visualizes where users click and interact on pages, helping identify popular areas.
Session Recordings: Replays user interactions to uncover behavioral patterns.
Insights Dashboard: Offers real-time stats for informed decision-making.
JavaScript debugging: Identifies errors impacting user experience.

What benefits can users expect?

Improved Engagement: By understanding user behaviors, teams can enhance site usability.
Optimized Conversion Rates: Identifies areas to improve, directly enhancing sales funnels.
Reduced Bounce Rates: Insights enable adjustments to retain visitors.
Cost Efficiency: Free to use, ensuring accessibility for diverse businesses.

Industries such as e-commerce and SaaS greatly benefit from implementing Microsoft Clarity. E-commerce sites use heatmaps to improve product page layouts while SaaS providers optimize onboarding processes. These actionable insights enable enhanced design strategies, leading to a better customer experience.

Microsoft

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

Information Not Available

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: June 2026.

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