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Amplitude 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:
 

ROI

Sentiment score
4.3
Amplitude enhances targeting and personalization, saving time and effort, but higher pricing requires careful consideration for ROI.
Sentiment score
5.7
Snowflake Analytics offers varying ROI, with significant time savings and cost reductions depending on use case and implementation.
I have seen a return on investment with Amplitude, saving about 120 man hours per month for a specific report that needs to be created.
Technical Co-Founder at Crankshaft.ai
It has saved us a lot of time since I can see the analysis as quickly as possible in the dashboard, resulting in significant time and money saved.
Senior data engineer at a financial services firm with 10,001+ employees
 

Customer Service

Sentiment score
5.7
Amplitude's customer service is timely with multiple channels, though technical expertise varies, complemented by an active Slack group.
Sentiment score
7.2
Snowflake Analytics support is highly rated for responsiveness and professionalism, despite some delays for smaller partners.
You can pursue answers whichever way you would prefer through the normal support routes or you can source it from the community that they offer on Slack.
Data Analyst & Data Protection Officer at WeSalute
There could be live chat support for different types of charges or solutions that would be more helpful.
Data Science Engineer at BebopBee, Inc.
Amplitude customer support is responsive.
Technical Co-Founder at Crankshaft.ai
The Snowflake Analytics documentation is excellent.
Lead Analytics Consultant at a outsourcing company with 51-200 employees
Recently we had a two-day session where the Snowflake Analytics team provided a demo on Cortex AI and its features.
Associate Principal Engineer at Nagarro
The technical support for Snowflake Analytics is excellent based on what I have heard from others.
Solutions Architect at a financial services firm with 5,001-10,000 employees
 

Scalability Issues

Sentiment score
7.2
Amplitude is highly praised for its scalability, handling large data and real-time processing efficiently for millions of users.
Sentiment score
7.8
Snowflake Analytics excels in scalable, cost-effective cloud resources, enabling independent compute and storage scaling to handle large data volumes.
Amplitude's scalability is fine; I have millions of active users, tens of millions, with high throughput, and it performs great.
Technical Co-Founder at Crankshaft.ai
Amplitude is very scalable, considering that we do not have to do any manual work ourselves.
Data Analyst & Data Protection Officer at WeSalute
Amplitude is quite scalable.
Senior data engineer at a financial services firm with 10,001+ employees
Storage is unlimited because they use S3 if it is AWS, so storage has no limit.
Senior Software Architect at USEReady
It supports both horizontal and vertical scaling effectively.
Solutions Architect at a financial services firm with 5,001-10,000 employees
Maintaining security and data governance becomes easier with an entire data lake in place, and the scalability improves performance.
Associate Principal Engineer at Nagarro
 

Stability Issues

Sentiment score
8.4
Amplitude is praised for stability and speed with large datasets, though improvements in latency and error messages are suggested.
Sentiment score
8.4
Snowflake Analytics is highly rated for reliability, stability, and performance, with rare outages and minimal maintenance issues.
I did not notice any delays or issues with Amplitude's performance and speed when handling large datasets.
Senior Business Analyst at Arcteryx
Snowflake Analytics has been stable and reliable in my experience.
Associate Principal Engineer at Nagarro
Snowflake Analytics is stable, scoring around eight point five to nine out of ten.
Solutions Architect at a financial services firm with 5,001-10,000 employees
The Power BI team raised tickets for both Power BI and Snowflake Analytics, and their responses were very good.
Lead Analytics Consultant at a outsourcing company with 51-200 employees
 

Room For Improvement

Users desire improved report setup, visualization, query building, tagging, data retention, support, and feature discovery for enhanced analytics.
Snowflake Analytics requires AI integration improvements, better UI, enhanced scalability, and integration with Python, Java, and cloud systems.
Support could be improved. Sometimes I need to create a ticket and communicate with one of their advisors via email.
Data Science Engineer at BebopBee, Inc.
Longer form time series analysis seems nearly impossible to do on this platform.
Data Analyst & Data Protection Officer at WeSalute
Reconciling clickstream data with Databricks or other AWS systems could help analysts spend less time verifying the accuracy of both sources, which would be really helpful.
Senior Business Analyst at Arcteryx
AIML-based SQL prompt and query generation could be an area for enhancement.
Senior Software Architect at USEReady
If it offered flexibility similar to Oracle and supported more heterogeneous data sources and database connectivity, it would be even better.
Solutions Architect at a financial services firm with 5,001-10,000 employees
I would prefer Snowflake Analytics to improve their support response times, as sometimes the responses we receive are not very prompt and ticket assignments may not be timely.
Associate Principal Engineer at Nagarro
 

Setup Cost

Amplitude's high pricing and complex billing for larger data volumes cause challenges and lengthy negotiations for users.
Enterprise buyers find Snowflake Analytics expensive but flexible, appreciating its data-sharing capabilities and varied pricing options.
Pricing is often egregiously high, and the company has changed billing models on us once already.
Data Analyst & Data Protection Officer at WeSalute
We are using a free version and would upgrade to a paid version if it were cheaper.
CEO at a tech vendor with 10,001+ employees
Amplitude's pricing is good and not overpriced; it is fair for the amount of data we are extracting and the analysis we perform.
Senior data engineer at a financial services firm with 10,001+ employees
Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query.
BI Developer at DivVerse LLC
Snowflake is better and cheaper than Redshift and other cloud warehousing systems.
Senior Software Architect at USEReady
Snowflake Analytics is quite economical.
Solutions Architect at a financial services firm with 5,001-10,000 employees
 

Valuable Features

Amplitude excels in segmentation, cohort analysis, and integration, enhancing data-driven decision-making and user experience optimization.
Snowflake Analytics offers efficient, secure, cost-effective data management with advanced features, scalability, and seamless cloud integration.
Based on Amplitude charts and outcomes, our product team takes decisions, so it has improved decision-making.
Data Science Engineer at BebopBee, Inc.
Amplitude has positively impacted my organization as it allows us to make decisions based on data and iterate faster.
CEO at a tech vendor with 10,001+ employees
Collaboration was a significant part. What improves collaboration is the self-serve functionality, which was a big deal for PMs to have access to just that data and also the base layer of how that data is structured, which connects to clicks that every report refers to.
Senior Business Analyst at Arcteryx
Running a considerable query on Microsoft SQL Server may take up to thirty minutes or an hour, while Snowflake executes the same query in less than three minutes.
BI Developer at DivVerse LLC
Snowflake Analytics supports data security with a single sign-on feature and complies with framework regulations, which is highly beneficial.
Solutions Architect at a financial services firm with 5,001-10,000 employees
It is a data offering where I can see data lineage, data governance, and data security.
Senior Software Architect at USEReady
 

Categories and Ranking

Amplitude
Ranking in Web Analytics
1st
Average Rating
8.6
Reviews Sentiment
5.3
Number of Reviews
11
Ranking in other categories
Customer Data Analysis (1st), Mobile Marketing and Advertising (1st), User Activity Monitoring (4th), AI Data Analysis (6th), AI Customer Experience Personalization (3rd)
Snowflake Analytics
Ranking in Web Analytics
2nd
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
42
Ranking in other categories
Cloud Data Warehouse (10th)
 

Mindshare comparison

As of January 2026, in the Web Analytics category, the mindshare of Amplitude is 15.6%, up from 14.4% 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
ProductMarket Share (%)
Amplitude15.6%
Snowflake Analytics2.9%
Other81.5%
Web Analytics
 

Featured Reviews

Saurav Bhattacharjee - PeerSpot reviewer
Senior Business Analyst at Arcteryx
Empowers teams to build visualization-rich reports and make faster decisions using historical user behavior data
I think areas for Amplitude's improvement include data retention. The maximum data I have worked with, the clickstream data on Amplitude, is two years, whereas we rely on Tableau for historical data of at least two years. I am not sure whether it was my organization paying for lower retention or not, but having historical data would take away the reliance on Tableau. Secondly, reconciling clickstream data with Databricks or other AWS systems could help analysts spend less time verifying the accuracy of both sources, which would be really helpful. Lastly, a more focused approach on error logs is necessary. I have found that, at least with Intuit, we used Splunk more for error logs than Amplitude. Although Amplitude had the capability, developers seemed to prefer Splunk, so if that could be improved, it would be good.
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.
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Top Industries

By visitors reading reviews
Computer Software Company
10%
Insurance Company
6%
Comms Service Provider
6%
Financial Services Firm
6%
Computer Software Company
16%
Financial Services Firm
8%
Retailer
7%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Large Enterprise9
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise12
Large Enterprise21
 

Questions from the Community

What do you like most about Amplitude?
I loved using Amplitude because it allowed me to dive deep into product usage and analyze different customer segments.
What needs improvement with Amplitude?
Amplitude can be improved by allowing more than a two-year look back window for most analyses. Usually, all they offer is that two-year look back window, and longer form time series analysis seems ...
What is your primary use case for Amplitude?
Amplitude is our main product insights system, and it allows us to view the activity on our website and quantify certain KPIs about how users interact with the site. We measure things such as month...
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?
I do not see any areas that could be improved with Snowflake Analytics.
 

Comparisons

 

Also Known As

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Overview

 

Sample Customers

Nokia, Yik Yak, QuizUp, CrunchBase, Rhapsody, PlanGrid, Acquia, Patreon, SeatGeek, Etermax
Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper
Find out what your peers are saying about Amplitude vs. Snowflake Analytics and other solutions. Updated: December 2025.
879,371 professionals have used our research since 2012.