Adobe Analytics vs Snowflake Analytics comparison

Why PeerSpot?

Adobe and Snowflake Computing are both solutions in the Web Analytics category. Adobe is ranked #8 with an average rating of 8.0, while Snowflake Computing is ranked #2 with an average rating of 8.5. Adobe holds a 3.9% mindshare in WA, compared to Snowflake Computing’s 3.4% mindshare. Additionally, 100% of Adobe users are willing to recommend the solution, compared to 100% of Snowflake Computing users who would recommend it.

Adobe Analytics

Read 2 Adobe Analytics reviews

1,272 Views
1,272 Comparison Views

100% willing to recommend

Snowflake Analytics

Read 44 Snowflake Analytics reviews

3,529 Views
1,482 Comparison Views

100% willing to recommend

Adobe Analytics

Snowflake Analytics

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Executive Summary

We performed a comparison between Adobe Analytics 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 Adobe Analytics vs. Snowflake Analytics Report (Updated: September 2026).

Buyer's Guide

Adobe Analytics vs. Snowflake Analytics

September 2026

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Helped 913,683 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

Adobe Analytics

Ranking in Web Analytics

8th

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 (11th)

Mindshare comparison

As of September 2026, in the Web Analytics category, the mindshare of Adobe Analytics is 3.9%, down from 5.0% compared to the previous year. The mindshare of Snowflake Analytics is 3.4%, down from 4.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Web Analytics Mindshare Distribution
Product	Mindshare (%)
Snowflake Analytics	3.4%
Adobe Analytics	3.9%
Other	92.7%

Web Analytics

Featured Reviews

Shashikant Waghmode

Senior Analyst at Tetrapack

Data-driven insights have improved campaign tracking and form journey optimization

The tutorials provided on the Experience League platform could be made easier or explained in more accessible terms. Sometimes it is difficult for a beginner to understand the terminologies, so this could be improved. From a cost perspective, a major improvement is needed. Adobe Analytics is a very costly tool. For example, if a startup or a small company wants to use Adobe Analytics, it is very difficult to procure that license because of the high cost. I would expect Adobe to reduce the cost so that many enterprise companies would be interested in using that tool. Earlier, Adobe Analytics had ad hoc analysis, which was an omnichannel tool that had both offline data injection and online data injection capabilities. This was a very useful tool, but Adobe decommissioned it a few years ago. I found that tool very helpful for the business as it provided the capability of preparing dashboards and reports for all datasets, offering a wider range of insights. Unfortunately, Adobe has decommissioned that tool.

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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

"There is definitely a return on investment in terms of how Adobe Analytics is bringing in new revenue, new customers, and tracking your campaign."

"I would recommend Adobe Analytics to businesses over any other tool because it provides all the solutions under one window, including tag management, reporting, and customer data platform, so all of this is available under one roof."

"Snowflake Analytics is flexible in nature, allowing for the addition of more data tables without affecting the main structure."

"One of the key advancements in Snowflake Analytics is data sharing."

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

"It's not necessary to use a physical server."

"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."

"Scaling is very high – there's no problem for scaling purposes. The learning curve is very small. And there are a lot of advanced features like handling duplicates, security, data governance, data sharing, and data cloning."

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

"The computational power of Snowflake is very good."

More Snowflake Analytics pros

Cons

"Something could be enhanced with Adobe Analytics regarding how granular the data is. The dashboards do not give a very complete overview of things."

"Adobe Analytics is mostly stable, but we have observed a few downtimes or issues with the product."

"We haven't witnessed any ROI, however, it's not really a goal of the solution."

"Many customers face issues with the expenses on Snowflake. The pricing visibility is complex."

"When we insert data into a large table, it takes a lot of time."

"The UI must be improved."

"For modeling of data as well as for AI and predictive analytics, they need to improve their integration into different Python and Jupyter notebooks."

"Moving data from legacy systems to Snowflake is not that easy. There are some cases where processors are not actually compatible with Snowflake."

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

"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."

More Snowflake Analytics cons

Pricing and Cost Advice

Information not available

"I have been using free trial version."

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

"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 pricing is on the higher side."

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

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

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

More Snowflake Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Construction Company

17%

Outsourcing Company

14%

Financial Services Firm

Comms Service Provider

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 Adobe Analytics?

Unfortunately, I do not know about pricing. It is purchased at a company level, but I assume it is pretty reasonably priced.

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What needs improvement with Adobe Analytics?

See all answers

What is your primary use case for Adobe Analytics?

Adobe Analytics serves as our primary tool for website tracking and journey creation, allowing us to understand how user behavioral activities occur on our website. We track user behavior using EVa...

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

The pricing for Snowflake Analytics is reasonable, but as I am not part of the management team, I am not certain about our organization's exact costs. Overall, the return on investment for this too...

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What needs improvement with Snowflake Analytics?

One improvement Snowflake Analytics could benefit from is in cost, particularly during peak hours. Sometimes, due to its automatic scalability, we think it has scaled up, but it does not always hap...

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What is your primary use case for Snowflake Analytics?

I am using Snowflake Analytics because we are already using Snowflake for data engineering and data warehousing tasks, and we are using it for analytics as well as business intelligence reporting. ...

See all answers

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Product Reports

Buyer's Guide

Web Analytics

August 2026

Download Adobe Analytics product report

Buyer's Guide

Snowflake Analytics

August 2026

Download Snowflake Analytics product report

Overview

Adobe Analytics provides real-time insights and predictive capabilities for businesses, enabling them to understand and optimize their digital marketing strategies through advanced data analytics and reporting tools.

Offering comprehensive marketing analytics, Adobe Analytics empowers enterprises to track user behavior, measure engagement, and refine marketing strategies. Its scalability supports businesses as they grow and adapt to changes in consumer behavior, delivering crucial insights through a powerful analytics suite. Users can leverage its robust functionality to drive successful digital marketing campaigns, tailored to specific audience segments.

What are the key features of Adobe Analytics?

Real-Time Data Collection: Instantly captures and analyzes data for immediate insights.
Predictive Analytics: Forecasts trends and user behavior to aid future planning.
Customizable Dashboards: Offers tailored views for specific data needs.
Cross-Channel Attribution: Tracks and analyzes customer interactions across multiple channels.

What benefits should users expect?

Increased ROI: Data-driven insights lead to more effective marketing strategies.
Improved Targeting: Fine-tunes marketing campaigns for specific audience segments, enhancing engagement.
Data-Driven Decision Making: Empowers teams with actionable insights to support strategic decisions.
Enhanced Flexibility: Adapts to evolving business needs with scalable solutions.

Adobe Analytics is implemented across diverse industries for its robust analytics capabilities. In e-commerce, it enhances user experience by optimizing the customer journey. In finance, it provides insights into customer preferences, aiding in personalizing services. In media, it tracks audience engagement, helping in content strategy development.

Adobe

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

Philips, WestJet

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

Buyer's Guide

Adobe Analytics vs. Snowflake Analytics

September 2026

Free Report: Adobe Analytics vs. Snowflake Analytics

Find out what your peers are saying about Adobe Analytics vs. Snowflake Analytics and other solutions. Updated: September 2026.

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