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Matillion Data Productivity Cloud vs SAS Data Integration Server comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 18, 2026

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

Matillion Data Productivity...
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
28
Ranking in other categories
Cloud Data Integration (13th), AI Data Analysis (23rd)
SAS Data Integration Server
Average Rating
7.2
Reviews Sentiment
6.5
Number of Reviews
4
Ranking in other categories
Data Integration (41st)
 

Featured Reviews

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.
NN
Works at a financial services firm with 5,001-10,000 employees
Offloads processes on the server side but needs better installation syntax
One area for improvement is the installation process. Another point could be the syntax, as it sometimes involves using syntax names that are not intuitive. For example, to calculate the difference between two dates, the general syntax in SAS is called the data difference or data net function. However, another name is used, such as NF and INK. Without knowledge of SAS programming, it becomes unclear what these functions mean. It is not good to define function names this way.

Quotes from Members

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

Pros

"Give it a shot. See how easy it is to get started with the product, because the scripting which is required is minimal."
"It has helped us to get onto the cloud quickly."
"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."
"I would recommend Matillion ETL for any cloud-based operations."
"The loading of data is the most valuable feature of Matillion ETL."
"The most valuable feature of Matillion ETL is its ease of use. If you have had some experience with other solutions, such as Snowflake, the use of this solution will be simple."
"The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation."
"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."
"A key feature allows us to enhance job performance by offloading processing to the server side, rather than processing on the server itself."
"The solution offers very good data manipulation and loading."
"The solution is very stable."
"The most valuable feature of the solution is its amazing capabilities in regard to data handling."
 

Cons

"Scalability in Matillion Data Productivity Cloud has some limitations. Depending on the nature of data sets, volume, and mixture of different data, the scalability could be improved as manual code writing is still required."
"Performance can be improved for efficiency, and it can be made faster."
"More frequent releases are needed, due to API changes from Google, Marketo, and Facebook."
"The tool's lineage is very weak."
"Matillion’s on-premises capabilities don’t allow you to build something customized."
"In the next release, we would like to have connections to more databases."
"The cost of the solution is high and could be reduced."
"I found some of the more complex aspects of ETL challenging, but I grasped the concepts fairly quickly."
"The initial setup had issues, and even after using it for about one year, it was still not fixed."
"Something that could improve is writing SQL to integration studio because it is not that straightforward. There should be better integration with other software."
"One area for improvement is the installation process."
"The initial setup of SAS Data Integration Server was complex."
"So I would like to see improved integration with other software."
"The transform tool has limited access. They should make it more flexible."
 

Pricing and Cost Advice

"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."
"It is cost-effective. Based on our use case, it's efficient and cheap. It saves a lot of money and our upfront costs are less."
"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."
"I have heard from my manager and other higher ups, "This product is cheaper than other things on the market," and they have done the research."
"The product must improve its pricing."
"The price of Matillion ETL is reasonable."
"The solution is very cheap. You're paying $2.50 an hour and if you set your service up, which you can do, you're not getting charged. Currently, our ETL process is just an overnight process that runs for about an hour. I can start and stop my server just for an hour if I want to and spent $2.50 a day for an ETL solution. There are no additional costs."
"Matillion ETL has a pay-as-you-go pricing model of a few dollars per hour of runtime."
"It is an expensive program."
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Top Industries

By visitors reading reviews
Construction Company
11%
Financial Services Firm
9%
Computer Software Company
9%
Manufacturing Company
8%
Financial Services Firm
24%
Construction Company
13%
Comms Service Provider
10%
Computer Software Company
7%
 

Company Size

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

Questions from the Community

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...
What needs improvement with SAS Data Integration Server?
One area for improvement is the installation process. Another point could be the syntax, as it sometimes involves using syntax names that are not intuitive. For example, to calculate the difference...
What is your primary use case for SAS Data Integration Server?
I am involved in the ETR job. My role is focused on executing the ETR job.
What advice do you have for others considering SAS Data Integration Server?
I use it without further details. For example, if I use SAS to connect to a NetEazt database or purchase a shared asset to ODBC, I can connect to any database with ODBC connection support. The over...
 

Also Known As

Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery
SAS Enterprise Data Integration Server, Enterprise Data Integration Server
 

Overview

 

Sample Customers

Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, West Midlands Police, XS Inc., Zenith Insurance
Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Palantir and others in Cloud Data Integration. Updated: July 2026.
908,834 professionals have used our research since 2012.