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Qlik Compose vs SAS Data Management comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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

Qlik Compose
Ranking in Data Integration
49th
Average Rating
7.6
Reviews Sentiment
6.5
Number of Reviews
12
Ranking in other categories
No ranking in other categories
SAS Data Management
Ranking in Data Integration
28th
Average Rating
8.6
Reviews Sentiment
6.6
Number of Reviews
18
Ranking in other categories
Data Quality (8th), Data Governance (22nd)
 

Mindshare comparison

As of April 2026, in the Data Integration category, the mindshare of Qlik Compose is 0.9%, down from 1.1% compared to the previous year. The mindshare of SAS Data Management is 1.3%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
SAS Data Management1.3%
Qlik Compose0.9%
Other97.8%
Data Integration
 

Featured Reviews

Sahil Taneja - PeerSpot reviewer
Principal Consultant/Manager at Tenzing
Easy matching and reconciliation of data
The initial setup was easy for the data warehousing concept. But for a person who is new to ETL and warehousing concepts, it may take some time. If someone is familiar with these concepts, they could understand and learn the tool quickly. However, compared to other tools, the UI is complex. It would be helpful to have a better UI and documentation for new users. As of now, there is a challenge in learning the Compose tool for new users altogether. Qlik Compose was deployed on-premises. But the servers, like the SQL servers were maintained on the cloud—the managed instances.
FK
Data Scientist & Scrum Master at Volvo Group
Has supported centralized data access and improved governance through unified administration
The best features I appreciate about SAS Data Management tool are that it's easy to create the flows and schedule data, and the tables are not too big, making it easy to control the ETL process, including user access which is also easy to manage in SAS. The data integration tools with SAS Data Management were quite good because they allowed me to do all lineage, to manage and see all the variables, find the libraries where the data is, and understand the data in just one tool. Offering another development environment combining code and predefined objects, where I could just drag and drop to achieve what I needed, although some objects were not too good, but some were effective. The metadata management feature of SAS Data Management helps a lot; creating your data marts or data lake with good naming conventions, library conventions, and so on is very important because it allows easy queries to find the whole structure, though I think metadata governance also depends on first definitions, not only on the tool. SAS Data Management is very good for data governance; for me, it was the best tool I worked with in data management, although I don't have too much experience with others, and it truly helped a lot.

Quotes from Members

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

Pros

"I have found it to be a very good, stable, and strong product."
"I like modeling and code generation. It has become a pretty handy tool because of its short ideation to delivery time. From the time you decide you are modeling a data warehouse, and once you finish the modeling, it generates all the code, generates all the tables. All you have to do is tick a few things, and you can produce a fully functional warehouse. I also like that they have added all the features I have asked for over four years."
"It is a scalable solution."
"The technical support is very good. I rate the technical support a ten out of ten."
"As long as you pick the solution that best fits with your requirements, you won't find that performance is a problem."
"One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions."
"It's a stable solution."
"As long as you pick the solution that best fits with your requirements, you won't find that performance is a problem. It's good."
"The data integration tools with SAS Data Management were quite good because they allowed me to do all lineage, to manage and see all the variables, find the libraries where the data is, and understand the data in just one tool."
"The technical support is excellent."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"The SAS Data Management software has enabled us to have a single source of truth for any data that was earlier being fetched from multiple source systems at multiple times."
"Their software pricing offers the best value for money on the market."
"If you compare it to SQL, the memory and development times are very quick."
"The monitoring capabilities are very good."
"I think the product is very stable, I think it's a marvelous product, it is very widely used by many people and I never hear people complain."
 

Cons

"The solution has room for improvement in the ETL. They have an ETL, but when it comes to the monitoring portion, Qlik Compose doesn't provide a feature for monitoring."
"It would be better if the first level of technical support were a bit more technically knowledgeable to solve the problem. I think they could also improve the injection of custom scripts. It is pretty difficult to add additional scripts. If the modeling doesn't give you what you want, and you want to change the script generated by the modeling, it is a bit more challenging than in most other products. It is very good with standard form type systems, but if you get a more complicated data paradigm, it tends to struggle with transforming that into a model."
"The solution has room for improvement in the ETL. They have an ETL, but when it comes to the monitoring portion, Qlik Compose doesn't provide a feature for monitoring."
"I'd like to have access to more developer training materials."
"There is some scope for improvement around the documentation, and a better UI would definitely help."
"Qlik's ETL and data transformation could be better."
"It could enhance its capabilities in the realm of self-service options as currently, it is more suited for individuals with technical proficiency who can create pages using it."
"When processing data from certain tables with a large volume of data, we encounter significant delays. For instance, when dealing with around one million records, it typically takes three to four hours. To address this, I aim to implement performance improvements across all tables, ensuring swift processing similar to those that are currently complete within seconds. The performance issue primarily arises when we analyze the inserts and updates from the source, subsequently dropping the table. While new insertions are handled promptly, updates are processed slowly, leading to performance issues. Despite consulting our Qlik vendors, they were unable to pinpoint the exact cause of this occurrence. Consequently, I am seeking ways to optimize performance within Qlik Compose, specifically concerning updates."
"I would like the tool to include the ability to automate the modifications of the integrations."
"The solution is quite expensive and hard to install/configure."
"Complex, as usual with SAS"
"Integration and cloud migration are areas where we see potential for improvement."
"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce; it's not a straightforward process."
"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."
"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."
"The solution could use better documentation."
 

Pricing and Cost Advice

"While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us."
"On a scale of one to ten, where one is cheap, and ten is very expensive, I rate the solution a six."
"The price of the solution is expensive."
"The tool is a bit expensive."
"The licensing model for vCenter is a perpetual license with yearly payments."
"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."
"The solution is expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Government
11%
Construction Company
11%
Manufacturing Company
8%
Financial Services Firm
20%
Government
8%
Healthcare Company
7%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise3
Large Enterprise6
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise1
Large Enterprise8
 

Questions from the Community

Which ETL tool would you recommend to populate data from OLTP to OLAP?
There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for cu...
What is your experience regarding pricing and costs for SAS Data Management?
From my experience, SAS Data Management is an expensive tool.
What needs improvement with SAS Data Management?
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
What is your primary use case for SAS Data Management?
The main idea for using SAS Data Management was to bring all data inside SAS. I brought the finance area and the sales area in the company that I have worked, along with some market planning data, ...
 

Also Known As

Compose, Attunity Compose
SAS Data Management Platform, Data Management Platform, DataFlux
 

Overview

 

Sample Customers

Poly-Wood
Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance
Find out what your peers are saying about Qlik Compose vs. SAS Data Management and other solutions. Updated: April 2026.
886,510 professionals have used our research since 2012.