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Matillion Data Productivity Cloud vs WhereScape RED comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 31, 2025

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
7.3
Matillion Data Productivity Cloud users experience quick ROI, 15%-20% cost reduction, transparent billing, and efficient cloud-based operations across sectors.
Sentiment score
7.0
WhereScape RED offers varied returns, with some users experiencing quick ROI, efficient development, and substantial gains.
 

Customer Service

Sentiment score
7.5
Matillion Data Productivity Cloud offers responsive support, quick resolutions, knowledgeable staff, and proactive communication, with room for speed improvement.
Sentiment score
8.3
Customer service is often excellent and prompt, although some feel support wanes post-purchase and seems money-driven.
 

Scalability Issues

Sentiment score
7.7
Matillion's seamless cloud integration enhances scalability, though heavy Python use may pose challenges, with recent updates improving efficiency.
Sentiment score
6.6
WhereScape RED efficiently scales with large data, improves ETL processing, and enhances speeds using ELT and SQL features.
 

Stability Issues

Sentiment score
7.8
Matillion Data Productivity Cloud is highly stable, rated nine out of ten, with responsive support and reliable performance.
Sentiment score
6.6
WhereScape RED's stability varies; it's praised for maturity and speed, yet some report resource and debugging challenges.
 

Room For Improvement

Matillion Data Productivity Cloud requires updates for API, integrations, UI, performance, scalability, efficiency, and comprehensive documentation enhancements.
WhereScape RED suffers from scalability issues, lacking performance efficiency, enhanced documentation, better GUI, and improved support for multi-database environments.
 

Setup Cost

Matillion Data Productivity Cloud offers flexible, competitive pricing suitable for various team sizes, with cost-effective options for extensive use.
WhereScape RED's flexible developer-based licensing and native SQL code provide cost-effective, vendor-independent data warehousing solutions with quick ROI potential.
 

Valuable Features

Matillion Data Productivity Cloud streamlines ETL with intuitive interface, diverse data integration, and automation, enhancing efficiency and agility.
WhereScape RED streamlines data warehousing with automation, agile support, user-friendly interface, and compatibility with leading methodologies.
 

Categories and Ranking

Matillion Data Productivity...
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
26
Ranking in other categories
Cloud Data Integration (6th)
WhereScape RED
Average Rating
8.2
Reviews Sentiment
7.2
Number of Reviews
15
Ranking in other categories
Data Integration (48th)
 

Featured Reviews

Jacques Du Preez - PeerSpot reviewer
Offers good user interface and easy to navigate
Our experience is mainly around using Snowflake Data Cloud with Matillion. And the two of them combined, offer superior performance and price point benefits. Using them together is very efficient because Matillion's processing and Snowflake's own scalability and consumption based on pushing down code work well together. They are very efficient. We've used Azure Data Factory (ADF) for integration. So that's an alternative, depending on customer choice for the integration. And then on AWS, a few of the other services, like Terraform, and S3 storage, and that's about it. It's on a case-by-case basis. If they've chosen ADF as a technology, then we implement using that choice.
it_user584544 - PeerSpot reviewer
The ​architecture is based on metadata and documentation is automated.
I would love to see a GUI interface for defining dependencies between build processes. RED provides a spreadsheet like interface for defining the dependencies between builds. Once the dependencies are defined, RED can produce a nice dependency diagram to give a visualization of the dependency tree. It would be easier to define complex dependency relationships if the dependency diagram were interactive. Our legacy ETL tool provided this GUI dependency definition via a drag and drop diagram which was very useful. The solution provided by WhereScape does work, and the dependency diagrams generated are helpful. It would just be nice to have the ability to define dependencies via a diagram, since dependencies relationships are much easier to understand via a diagram.
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
15%
Manufacturing Company
9%
Energy/Utilities Company
5%
Financial Services Firm
19%
Computer Software Company
9%
Insurance Company
8%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Matillion ETL?
The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand.
What is your experience regarding pricing and costs for Matillion ETL?
The solution's pricing is not based on the licensing cost but on the running hours when the Matillion instance is up and running. Its pricing model is different from the traditional pricing models ...
What needs improvement with Matillion ETL?
Depending on the use case, the solution's pricing could be improved. Matillion ETL should include more enhanced capabilities for extracting data from the SAP systems.
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Also Known As

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

Overview

 

Sample Customers

Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
British American Tobacco, Cornell University, Allianz Benelux, Finnair, Solarwinds and many more.
Find out what your peers are saying about Matillion Data Productivity Cloud vs. WhereScape RED and other solutions. Updated: March 2025.
842,767 professionals have used our research since 2012.