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Cube vs Matillion Data Productivity Cloud 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

Cube
Ranking in AI Data Analysis
91st
Average Rating
8.6
Reviews Sentiment
6.5
Number of Reviews
4
Ranking in other categories
Embedded BI (10th)
Matillion Data Productivity...
Ranking in AI Data Analysis
17th
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
28
Ranking in other categories
Cloud Data Integration (12th)
 

Mindshare comparison

As of May 2026, in the AI Data Analysis category, the mindshare of Cube is 0.3%. The mindshare of Matillion Data Productivity Cloud is 0.8%, down from 2.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
Matillion Data Productivity Cloud0.8%
Cube0.3%
Other98.9%
AI Data Analysis
 

Featured Reviews

Peter Jefferson - PeerSpot reviewer
Customer Success Manager at Unilever Inc.
Automated reporting has freed time for deeper analysis and improved budget and variance reviews
A specific example of how my team uses Cube in our day-to-day work is that above all, Cube has vastly enhanced our ability to get financial reporting done quickly and free up our time to really dig deep into various accounts. This has greatly improved the accuracy of our financial results beyond what you would even believe. The clean portal and organization help my team by making it easy to navigate and the data collected is very clean and managed in an understandable manner, hence making it very easy to make data-driven decisions. Regarding the features, customer service is great, customization of financial reports, ease of integration with other tools seamlessly, continuous system testing and upgrades, and easy creation of monthly and P&L variance analysis. Data import and export is smooth and efficient. Monthly reporting and analysis is easy to pull and update. The positive impact Cube has had on my organization includes additional time for analysis, less than budgeted spend, and more accurate financial results resulting in better decisions. The error rate has reduced from 40 to 50%. The reduction in errors has affected my team and the business overall by improving speed and efficiency for month-end close processes. Better consolidation of data for long-term trend analysis is evident, and easy P&L creation and variance analysis has been great.
Jitendra Jena - PeerSpot reviewer
Director Axtria - Ingenious Insights! at Axtria - Ingenious Insights
Easy integration and workflow proposals streamline processes
The predefined connectors eliminate the need to write code for connectivity. If you have a predefined connector, it is easy to use with plug and play functionality. The processing time and ease of use are significant benefits. As everyone is moving into AI integration, it will definitely help. When creating workflows, they can propose solutions directly.

Quotes from Members

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

Pros

"Cube completes my tasks very easily and takes less time, allowing me to deliver any project in a timely manner to our clients."
"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."
"The most valuable feature of Matillion ETL is the ETL. The solution is open-source which provides advantages, such as good performance and high efficiency. Additionally, it supports three data types which eliminates predefining the data, and we can write script models in Python."
"We allow non-technical people to use Matillion to load data into our data warehouse for reporting. Thus, it is easy enough to use that we don't always have to get a technical person involved in setting up a data movement (ETL)."
"Compared to the likes of traditional ETLs, like Informatica, SnapLogic, and Talend, or even raw Python scripts, this product needs no improvement, as it is so much better."
"I would recommend Matillion ETL for any cloud-based operations."
"It takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies."
"Give it a shot. See how easy it is to get started with the product, because the scripting which is required is minimal."
"Matillion's technical support is excellent."
"The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation."
 

Cons

"Cube's interface can be challenging for non-technical users, needing clearer use-case examples to ease integration into workflows."
"I did not see any return on investment from Cube."
"Cube can be improved by enhancing data refresh over multiple tabs."
"There is no way to create a real template that is not exposed directly in the UI."
"It needs integration with more data sources."
"It is not an end-to-end platform for ETL. To complete the pipeline, they might want to include some connectors which would put the data into different platforms."
"Ideally, I would like it to integrate with Secrets Manager as well as the AWS."
"It could have better integrations with other databases and other services."
"There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements."
"While the UI is good, it could be improved in its efficiency and made easier to use."
"I found some of the more complex aspects of ETL challenging, but I grasped the concepts fairly quickly."
"It needs integration with more data sources."
 

Pricing and Cost Advice

Information not available
"It is not necessarily a cheap solution. However, it's reasonable priced, especially with the smaller machines that we run it on."
"It was very easy to purchase through the AWS Marketplace, but it was also expensive."
"It was procured through the AWS Marketplace because it keeps things simple. They offer retail-like checkout and bill through your existing Amazon Web Services account."
"The pricing depends on what edition the customer opts for. For example, the standard edition is priced at $2.00 per credit. And you are only charged when you use it. You're not charged when it's idle."
"Its price depends on what you expect. You pay on a monthly basis, but there is a possibility to have special contracts depending on the installation."
"Matillion ETL has a pay-as-you-go pricing model of a few dollars per hour of runtime."
"Matillion ETL is expensive."
"Purchasing it through the AWS Marketplace is pretty convenient. There is a little bit of back and forth in terms of the licensing based on the machine size, but it seems to have worked out well. it is convenient to have it all as part of our AWS billing."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
12%
Computer Software Company
10%
Manufacturing Company
8%
Construction Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise10
Large Enterprise11
 

Questions from the Community

What is your experience regarding pricing and costs for Cube?
My experience with pricing, setup cost, and licensing is that the price is very cost-effective and licensing is very affordable, making it a great financial reporting tool for startups.
What needs improvement with Cube?
Cube can be improved by enhancing data refresh over multiple tabs. The speed at which data is imported can also be improved. Additionally, Cube needs to add functionality for headcount planning.
What is your primary use case for Cube?
Cube is the best absolute best FP&A software, dollar for dollar out there. My organization looked at a few different tools and none of them came close to Cube in terms of the value that we get ...
What is your experience regarding pricing and costs for Matillion ETL?
The pricing is managed by the tooling team. The pricing is moderate, neither expensive nor cheap.
What needs improvement with Matillion ETL?
The main areas for improvement are AI features and scalability.
What is your primary use case for Matillion ETL?
For the ETL, we are using Matillion Data Productivity Cloud. We have skilled resources for Matillion Data Productivity Cloud, which is why we are using it. The infrastructure is provided by the cus...
 

Also Known As

No data available
Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery
 

Overview

 

Sample Customers

Information Not Available
Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
Find out what your peers are saying about Informatica, Denodo, BigID and others in AI Data Analysis. Updated: May 2026.
894,738 professionals have used our research since 2012.