Heap vs Snowflake Analytics comparison

Heap and Snowflake Computing are both solutions in the Web Analytics category. Heap is ranked #4 with an average rating of 7.5, while Snowflake Computing is ranked #2 with an average rating of 8.3. Heap holds a 7.7% mindshare in WA, compared to Snowflake Computing’s 2.9% mindshare. Additionally, 100% of Heap users are willing to recommend the solution, compared to 100% of Snowflake Computing users who would recommend it.

Heap

Read 7 Heap reviews

544 Views
539 Comparison Views

100% willing to recommend

Snowflake Analytics

Read 43 Snowflake Analytics reviews

959 Views
432 Comparison Views

100% willing to recommend

Heap

Snowflake Analytics

Comparison Buyer's Guide

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Executive Summary

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

Find out in this report how the two Web Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Heap vs. Snowflake Analytics Report (Updated: December 2025).

Buyer's Guide

Heap vs. Snowflake Analytics

December 2025

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Helped 881,082 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

Heap

Ranking in Web Analytics

4th

Average Rating

7.8

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

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (10th)

Mindshare comparison

As of January 2026, in the Web Analytics category, the mindshare of Heap is 7.7%, up from 6.2% compared to the previous year. The mindshare of Snowflake Analytics is 2.9%, down from 7.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Web Analytics Market Share Distribution
Product	Market Share (%)
Snowflake Analytics	2.9%
Heap	7.7%
Other	89.4%

Web Analytics

Featured Reviews

Jon Fedor

Engagement Manager at TheMathCompany

Provides actionable user behavior insights and improves feature prioritization decisions

I didn't encounter many components that were annoying. One main area of frustration was finding data. When wanting to find data about clicks on a specific UI feature, element, or button, sometimes the objects were not named in a descriptive way. That was our problem on the implementation side, not Heap's. I also found that the analytics dashboards in Heap couldn't be customized as much as desired. I couldn't adjust the charts in the widgets or the settings on each widget to the level wanted in either data granularity or physical size of the widget on the dashboard page. Additional flexibility in dashboard building and widget building would be beneficial.

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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

"Heap enables one to easily track how customers use one's applications on both the web and mobile."

"The initial setup process was straightforward."

"The reporting has helped improve investor relations and let us quantify our growth and progress with ease."

"What I like best about it is the session replay feature. It saves a lot of time. I don't need to go and debug or replicate issues multiple times. We can go to the session replay for a few minutes. We can ask when the issue occurred, go to that time in the replay, and see whether the user made a mistake or if there's an app caching issue. That has been very helpful."

"An immensely useful feature is the retention graphs with the ability to generate retention data for individual features."

"With its ability to easily define user events, one can easily detect how one can better optimize one's product to drive better retention and feature use."

"You can track customer behavior with your project, such as how the customer envisions, navigates, uses CPA, and every touch point on the website. You can plan to optimize the phases and the customer behavior of the journey."

"Discerning application and UX weak points, driving better user retention."

"Scalability-wise, I rate the solution a ten out of ten."

"The most valuable feature of Snowflake Analytics is the ability to control and manage the cost."

"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."

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

"One of the valuable features is the solution’s time travel capability. The solution is highly stable. The solution is highly scalable. The initial setup is straightforward, and the deployment process is quick and efficient. I recommend the solution. Overall, I rate it a perfect ten."

"Time Travel and Snowpipe are good features."

"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."

"It helps with business intelligence by providing analytics that can be reported."

More Snowflake Analytics pros

Cons

"Based on my experience, there's some room for improvement. The application is a bit slow. Also, I must read through old documentation when I need to check for new features. It's not very user-friendly. Once you're in the application, it's easy because it has many features. But for first-time users, you have to go through all the documents, which can be challenging."

"Their analytics could be more user-friendly."

"The product could benefit from more advanced UI features."

"It's more expensive."

"If you have a lot of computations, it becomes very costly."

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

"The solution’s interface is good but it could be improved."

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

"End-to-end execution of jobs isn't possible with Snowflake, which means we have to do some customization."

"The UI could be more user-friendly."

"One notable absence in Snowflake's offerings is an on-premises solution."

"The solution needs to consider including some updates in the future."

More Snowflake Analytics cons

Pricing and Cost Advice

"Heap's pricing can be heavy according to the usage and requirements for control billing."

"The solution is expensive."

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

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

"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."

"Snowflake Analytics is a little more costly than Azure."

"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 price is high and I would rate it an eight out of ten."

"I have been using free trial version."

"The product's pricing is subjective."

More Snowflake Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Real Estate/Law Firm

15%

Computer Software Company

14%

Financial Services Firm

11%

Insurance Company

Computer Software Company

14%

Financial Services Firm

Healthcare Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	2
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	12
Large Enterprise	21

Questions from the Community

What is your experience regarding pricing and costs for Heap?

My experience with pricing, setup cost, and licensing was a smoother process, and my teammates helped me out because I don't have clear information about pricing. It was a cost-efficient way to get...

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What needs improvement with Heap?

I recommend making Heap stronger, more user-friendly, and integrating it with other apps such as Instagram, Facebook, LinkedIn, and even smaller platforms such as Reddit. If it is integrated with A...

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What advice do you have for others considering Heap?

My advice to others looking into using Heap is to use auto-capture and complete capture a lot because these two features are really amazing compared to its competitors. The reports it generates, th...

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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

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Product Reports

Buyer's Guide

Heap

January 2026

Download Heap product report

Buyer's Guide

Snowflake Analytics

January 2026

Download Snowflake Analytics product report

Overview

Heap automatically captures every customer touchpoint. No more tracking plans, tracking code, or tags. Get answers in seconds and make decisions faster.

Heap

Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.

To achieve this, we built a new data platform from the ground up for the cloud. It’s designed with a patented new architecture to be the centerpiece for data pipelines, data warehousing, data lakes, data application development, and for building data exchanges to easily and securely share governed data. The result, A platform delivered as a service that’s powerful but simple to use.

Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.

Snowflake Computing

Sample Customers

Zendesk, Marketo, Ernst & Young, Salesforce

Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper

Buyer's Guide

Heap vs. Snowflake Analytics

December 2025

Free Report: Heap vs. Snowflake Analytics

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