Pendo vs Snowflake Analytics comparison

Pendo and Snowflake Computing are both solutions in the Web Analytics category. Pendo is ranked #10 with an average rating of 8.0, while Snowflake Computing is ranked #2 with an average rating of 8.5. Pendo holds a 2.8% mindshare in WA, compared to Snowflake Computing’s 3.2% mindshare. Additionally, 100% of Pendo users are willing to recommend the solution, compared to 100% of Snowflake Computing users who would recommend it.

Pendo

Read 1 Pendo review

729 Views
656 Comparison Views

100% willing to recommend

Snowflake Analytics

Read 44 Snowflake Analytics reviews

2,633 Views
1,001 Comparison Views

100% willing to recommend

Pendo

Snowflake Analytics

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Pendo 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: May 2026).

Buyer's Guide

Web Analytics

May 2026

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Helped 899,283 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

Pendo

Ranking in Web Analytics

10th

Average Rating

8.0

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 Pendo is 2.8%, down from 4.2% 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%
Pendo	2.8%
Other	94.0%

Web Analytics

Featured Reviews

reviewer1291614

Customer Success Marketing Manager at a tech vendor with 501-1,000 employees

Targeted in-app messaging has increased event registrations and deepened insight into customer behavior

The best feature Pendo offers is the ability to relatively quickly get a message out to a highly segmented audience, though it does require some work. You can target anybody who hasn't logged in in the past 30 days or anybody who has logged in in the past 30 days, enabling very targeted communications.We saw direct impact on revenue through event registrations. When we did a webinar and invited customers, we could see that approximately 50% of our registrations came from Pendo as opposed to email.It impacted the organization positively because we have much more data as to how people interact with our product when they're in the product itself and what they click on. On a level of one to ten, I would say the impact was a nine.

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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.

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

"The best feature Pendo offers is the ability to relatively quickly get a message out to a highly segmented audience, enabling very targeted communications and driving direct impact on revenue through event registrations."

"Deployment is straightforward as it's a SaaS product. No maintenance required."

"The most valuable feature of Snowflake Analytics is its performance."

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

"Snowflake Analytics has played a major role in improving our data model transformations, increasing our productivity by allowing us to do things very quickly and receive results rapidly, and reducing the time and effort required for coding compared to traditional methods and Python."

"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."

"Its structure aids in storing, managing, and analyzing large datasets in the cloud, using various relationships like one-to-one and many-to-one, ensuring consistency in the data structure."

"One advantage is that installation is unnecessary since it's cloud-based. You subscribe to a Snowflake instance, configure it, and start using it. It's very user-friendly and allows you to scale up or down based on usage."

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

More Snowflake Analytics pros

Cons

"Customer support was very good at the beginning, but they changed their structure and customer support declined after that."

"Machine learning should be improved."

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

"The distribution methodology isn't as strong as Bethesda or SAP HANA. It's not as strong as other competitors."

"One improvement Snowflake Analytics could benefit from is in cost, particularly during peak hours."

"Improvements are needed in importing and exporting large datasets to and from reporting tools."

"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."

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

"AIML-based SQL prompt and query generation could be an area for enhancement."

More Snowflake Analytics cons

Pricing and Cost Advice

Information not available

"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."

"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."

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

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

"Snowflake Analytics is not an expensive solution, and its pricing is average."

"The tool is quite expensive."

"I have been using free trial version."

More Snowflake Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Performing Arts

13%

Computer Software Company

13%

Healthcare Company

10%

Construction Company

14%

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 is your experience regarding pricing and costs for Pendo?

We did not purchase through AWS Marketplace. The implementation experience was expensive, but we completed it. I do not recall there being a setup cost and the licensing was relatively easy.

See all answers

What needs improvement with Pendo?

Pendo could be improved by making it easier to launch a campaign, as it took a fair amount of time and energy to do so.

See all answers

What is your primary use case for Pendo?

Pendo was primarily used for in-app messaging to communicate with customers while they were in the application itself, and we relied heavily on segmentation.A great example was when we had customer...

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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

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Compared 10% of the time

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Compared 9% of the time

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Compared 8% of the time

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Compared 7% of the time

Firebolt vs Snowflake Analytics

Compared 6% of the time

SAP Business Data Cloud vs Snowflake Analytics

Compared 5% of the time

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Product Reports

Buyer's Guide

Web Analytics

May 2026

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Buyer's Guide

Snowflake Analytics

May 2026

Download Snowflake Analytics product report

Overview

Pendo is a platform designed to enhance user engagement and product experience by providing valuable insights and user feedback. It aims to improve user onboarding and feature adoption, ensuring a seamless experience for both product teams and users.

Pendo offers a comprehensive suite of tools that allow product managers to track user behavior and gather feedback. These tools help in analyzing how users interact with features, providing insights that can drive product improvements. Pendo's analytics facility helps identify opportunities for enhancing feature usage, offering data-driven insights into user behavior and product usage patterns.

What are Pendo's key features?

In-app Guides: Create interactive tutorials to enhance user onboarding experiences.
Product Analytics: Track user interactions and assess feature adoption rates.
Feedback System: Collect user feedback to inform product development and enhancements.
Integration Capability: Seamlessly integrates with common platforms for coherent data analysis.

What benefits and ROI should users consider?

Improved User Engagement: Drive user retention with personalized onboarding guides.
Enhanced Decision-making: Leverage insights from analytics to prioritize features and improvements.
Increased Adoption Rates: Facilitate better understanding and utilization of product features.
Efficient Resource Allocation: Focus efforts on high-impact areas informed by real user data.

In industries like SaaS and technology, Pendo offers tailored solutions that drive engagement by integrating with existing infrastructures. Healthcare and finance sectors can benefit from Pendo's analytics and in-app guides to better manage compliance and train users efficiently within regulated environments.

Pendo

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

Coupa, FICO, Optimizely, AOL, Mattermark, Infor, Neustar, Act-on

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: May 2026.

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