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Pendo 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

Pendo
Ranking in Web Analytics
10th
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Snowflake Analytics
Ranking in Web Analytics
2nd
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
43
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
ProductMindshare (%)
Snowflake Analytics3.2%
Pendo2.8%
Other94.0%
Web Analytics
 

Featured Reviews

reviewer1291614 - PeerSpot reviewer
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.
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

"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."
"Snowflake Analytics has a bright future and is capturing the market across various domains such as life sciences, BFSI, and supply chain."
"Deployment is straightforward as it's a SaaS product. No maintenance required."
"We have experienced a 40 to 50% improvement in ROI compared to legacy systems."
"The most valuable feature of Snowflake Analytics is the ability to control and manage the cost."
"Snowflake has a streaming capability to work with real-time streaming data and delta tables."
"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."
"I am impressed with the product's data-sharing feature."
"It can run complex workloads with varied compute."
 

Cons

"Customer support was very good at the beginning, but they changed their structure and customer support declined after that."
"One area that could benefit from enhancement is the user interface for more visual ESM features."
"Moving data from legacy systems to Snowflake is not that easy. There are some cases where processors are not actually compatible with Snowflake."
"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 Analytics should probably have more built-in tools for master data management."
"I cannot comment on the product's stability because we are still struggling with its performance."
"If you have a lot of computations, Snowflake becomes costlier."
"The UI must be improved."
"Integration into different Python and Jupyter notebooks needs to be improved."
 

Pricing and Cost Advice

Information not available
"The solution's price is high and I would rate it an eight out of ten."
"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."
"It's not costly if you configure it properly to ensure optimal performance. People don't configure it properly, which is why costs go up."
"The tool is quite expensive."
"I have been using free trial version."
"The product's pricing is subjective."
"It is an expensive solution, but the kind of usability and flexibility it proactively provides for the organizations justify the price."
"The cost of Snowflake Analytics is low, any small organization can use it."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Performing Arts
14%
Computer Software Company
14%
Healthcare Company
10%
Construction Company
11%
Computer Software Company
9%
Financial Services Firm
8%
Marketing Services Firm
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise13
Large Enterprise22
 

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.
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.
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...
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.
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 ...
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...
 

Comparisons

 

Overview

 

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896,942 professionals have used our research since 2012.