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Amplitude vs Cube comparison

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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

Amplitude
Ranking in AI Data Analysis
9th
Average Rating
8.6
Reviews Sentiment
5.5
Number of Reviews
12
Ranking in other categories
Customer Data Analysis (1st), Web Analytics (1st), Mobile Marketing and Advertising (2nd), User Activity Monitoring (5th), AI Customer Experience Personalization (9th)
Cube
Ranking in AI Data Analysis
18th
Average Rating
8.4
Reviews Sentiment
6.2
Number of Reviews
5
Ranking in other categories
Embedded BI (10th)
 

Mindshare comparison

As of October 2026, in the AI Data Analysis category, the mindshare of Amplitude is 0.5%, up from 0.1% compared to the previous year. The mindshare of Cube is 0.3%. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
Amplitude0.5%
Cube0.3%
Other99.2%
AI Data Analysis
 

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.
Amir Hassan - PeerSpot reviewer
Data Scientist / Data Analytics Consultant at Fiverr International Ltd
Managing complex data hierarchies has improved analytics but still needs richer hierarchy types
To evaluate Cube's efficiency in handling large data volumes, I use metrics including F1 scores, AUC (Area Under the Curve), and RMC (Root Mean Squares), along with RSE (Root Square Errors). These factors help me gauge the efficiency of the algorithms clearly. Regarding improving Cube, I believe that when we are building hierarchies, I should enhance the type of hierarchies. For instance, in a few countries lacking state systems, there could be a hierarchy without proper categorization—such as continent, country, and city. Therefore, it would be beneficial if I could improve the hierarchies to retrieve data as quickly as possible from Cube.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Amplitude impacts my organization positively as it serves as a central point that allows everyone within the organization to speak the same language of data."
"Amplitude is a perfect product that will always fulfill all the data-related needs that your company has, and I would suggest anyone to go for it."
"We can create charts and bar charts for visualization purposes and check real-time data with the solution."
"Amplitude has positively impacted my organization as it allows us to make decisions based on data and iterate faster."
"Amplitude offers flexibility in real-time data analysis, allowing users to make immediate decisions."
"Thanks to the Amplitude dashboard, we could access all the proper data, and regardless of which team or which part, all teams' decision-making became based on the data extracted by Amplitude, which contributed to a positive data-driven cultural movement."
"Other areas like cohort analysis, defining key events, and user properties were also well-suited for Amplitude. It is an easy tool to use."
"Amplitude has provided almost instant value to our dev team when they are deploying new trackable events and seeing how those events line up before they go out to production."
"Cube's caching mechanism impacts my database query loads and response times significantly."
"NPS improved to approximately eight out of ten for our feature, and internally ticket handling times decreased, allowing reallocation of resources to higher-impact projects."
"Implementation was super smooth, and within two weeks we were up and running and the metrics were exposed in our app."
"Cube completes my tasks very easily and takes less time, allowing me to deliver any project in a timely manner to our clients."
 

Cons

"Amplitude is almost perfect, but there are some charts I cannot create due to the large data structure."
"Regarding how Amplitude can be improved, I think that dashboards and charts are ephemeral; people often create dashboards but rarely revisit them, so while a handful of dashboards might survive, the real value lies in the insight derived from them."
"I give it a nine because it is close to a perfect ten for me, but it is only useful in one layer of the project, not the other, which the tool is supposed to do."
"Amplitude could be improved by being cheaper."
"I choose nine because, lately, when I was using it, the more people wanted to improve, the more complex things got—not in a good way, but confusing."
"Setting up reports in Amplitude was challenging for me as a newer user."
"We attempted to use their screen recording and session recording capabilities as a replacement for a previous vendor, and we found that the functionality they offered did not stack up to the previous vendor."
"The visualization of the properties can also be enhanced. Basically, the visualization could be better, and the real-time analytics can be enhanced."
"Cube's interface can be challenging for non-technical users, needing clearer use-case examples to ease integration into workflows."
"Cube can be improved by enhancing data refresh over multiple tabs."
"I did not see any return on investment from Cube."
"There is no way to create a real template that is not exposed directly in the UI."
"When it comes to the initial setup of Cube, I faced some challenges, including server issues when uploading data from local sources to the Unipi servers."
 

Pricing and Cost Advice

"Pricing is a little on the higher end, especially when considering scalability."
Information not available
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Top Industries

By visitors reading reviews
Construction Company
11%
Computer Software Company
10%
Comms Service Provider
10%
Outsourcing Company
8%
Construction Company
24%
Comms Service Provider
16%
Manufacturing Company
9%
Outsourcing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Large Enterprise9
No data available
 

Questions from the Community

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 advice do you have for others considering Amplitude?
I chose a rating of nine out of ten because Amplitude has virtually every functionality that we need except for the aforementioned lack of long form time series analysis, and their pricing is often...
What is your experience regarding pricing and costs for Cube?
The cost is around $1,500 per month. The exact number is not coming to my mind, but it is approximately $1,500 or $200 per month.
What needs improvement with Cube?
To evaluate Cube's efficiency in handling large data volumes, I use metrics including F1 scores, AUC (Area Under the Curve), and RMC (Root Mean Squares), along with RSE (Root Square Errors). These ...
What is your primary use case for Cube?
In my recent projects with Cube, I was tasked with finding crashes and the reasons behind them using three datasets: people, crash, and vehicles. I had to merge them and preprocess them, clean and ...
 

Comparisons

 

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Overview

 

Sample Customers

Nokia, Yik Yak, QuizUp, CrunchBase, Rhapsody, PlanGrid, Acquia, Patreon, SeatGeek, Etermax
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Find out what your peers are saying about Amplitude vs. Cube and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.