Qlik Compose vs SAS Data Management comparison

Qlik and SAS are both solutions in the Data Integration category. Qlik is ranked #45, while SAS is ranked #28 with an average rating of 9.0. Qlik holds a 0.9% mindshare in DI, compared to SAS’s 1.0% mindshare. Additionally, 81% of Qlik users are willing to recommend the solution, compared to 88% of SAS users who would recommend it.

Qlik Compose

Read 12 Qlik Compose reviews

1,513 Views
1,316 Comparison Views

81% willing to recommend

SAS Data Management

Read 18 SAS Data Management reviews

2,052 Views
1,108 Comparison Views

88% willing to recommend

Qlik Compose

SAS Data Management

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

SAS Data Management and Qlik Compose compete in the data management and data integration category. SAS Data Management seems to have the upper hand with its robust data management capabilities across diverse environments, although Qlik Compose shines in simplifying data warehouse automation.

Features: SAS Data Management offers capabilities like ETL, CDC, and MDM, delivering comprehensive data integration and analysis, praised for its flexibility and powerful analytics abilities. Qlik Compose is known for its simplicity in data warehouse automation, real-time replication, and excellent auto-mapping, making data modeling and code generation easy.

Room for Improvement: SAS Data Management could benefit from more competitive pricing and licensing, enhanced cloud integration with better connectivity options, and improved documentation. Qlik Compose faces challenges with complex SQL processing, needs better monitoring and ETL capabilities, and calls for improved support for high-volume data processing.

Ease of Deployment and Customer Service: SAS Data Management is mostly deployed on-premises, with strong post-acquisition customer service, but technical support experiences vary. Qlik Compose offers flexible deployment options on-premises and cloud, receiving feedback for decent but improvable customer support.

Pricing and ROI: SAS Data Management is considered expensive but valued for its comprehensive capabilities that offer high ROI for large enterprises. Qlik Compose offers a pricing model based on data volume with mixed feedback, showing potential ROI by optimizing data accuracy and efficiency, but its competitiveness for broader adoption could improve.

To learn more, read our detailed Qlik Compose vs. SAS Data Management Report (Updated: January 2026).

Buyer's Guide

Qlik Compose vs. SAS Data Management

January 2026

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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

45th

Average Rating

7.6

Reviews Sentiment

6.5

Number of Reviews

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

Ranking in other categories

Data Quality (7th), Data Governance (22nd)

Mindshare comparison

As of January 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 1.0%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
SAS Data Management	1.0%
Qlik Compose	0.9%
Other	98.1%

Data Integration

Featured Reviews

Sahil Taneja

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.

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Fernanda Knopki

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.

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Quotes from Members

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

Pros

"One of the most valuable features of this tool is its automation capabilities, allowing us to design the warehouse in an automated manner. Additionally, we can generate Data Lifecycle Policies (DLP) reports and efficiently implement updates and best practices based on proven design patterns."

"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."

"There were many valuable features, such as extracting any data to put in the cloud. For example, Qlik was able to gather data from SAP and extract SAP data from the platforms."

"It's a stable solution."

"The technical support is very good. I rate the technical support a ten out of ten."

"It can scale."

"One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions."

"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."

More Qlik Compose pros

"The technical support is excellent."

"The product offers very good flexibility."

"The platform's robust data governance capabilities ensure strong compliance with regulatory standards."

"I find the solution to be very stable."

"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."

"This is an established product with powerful data analysis and varied options for user entry points."

"If you compare it to SQL, the memory and development times are very quick."

"I am impressed with the tool's ability to customize."

More SAS Data Management pros

Cons

"I'd like to have access to more developer training materials."

"There could be more customization options."

"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."

"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."

"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."

"Qlik's ETL and data transformation could be better."

"There should be proper documentation available for the implementation process."

"I believe that visual data flow management and the transformation function should be improved."

More Qlik Compose cons

"The pricing of the solution needs to be improved. They need to work to make it more affordable."

"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."

"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."

"I would like the tool to include the ability to automate the modifications of the integrations."

"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."

"The solution could use better documentation."

"Integration and cloud migration are areas where we see potential for improvement."

"The support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues."

More SAS Data Management cons

Pricing and Cost Advice

"The price of the solution is expensive."

"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 solution is 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 tool is a bit expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Government

12%

Manufacturing Company

Insurance Company

Financial Services Firm

28%

Government

Computer Software Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	3
Large Enterprise	6

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	1
Large Enterprise	8

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...

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What is your experience regarding pricing and costs for SAS Data Management?

From my experience, SAS Data Management is an expensive tool.

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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.

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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, ...

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Comparisons

Qlik Replicate vs Qlik Compose

Compared 20% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Compose

Compared 13% of the time

Qlik Talend Cloud vs Qlik Compose

Compared 11% of the time

Palantir Foundry vs Qlik Compose

Compared 9% of the time

FME vs Qlik Compose

Compared 4% of the time

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Informatica Intelligent Data Management Cloud (IDMC) vs SAS Data Management

Compared 14% of the time

Collibra Platform vs SAS Data Management

Compared 10% of the time

Informatica PowerCenter vs SAS Data Management

Compared 6% of the time

Qlik Talend Cloud vs SAS Data Management

Compared 6% of the time

Protegrity’s Data Protection Platform vs SAS Data Management

Compared 5% of the time

More SAS Data Management Competitors

Product Reports

Buyer's Guide

Qlik Compose

January 2026

Download Qlik Compose product report

Buyer's Guide

SAS Data Management

January 2026

Download SAS Data Management product report

Also Known As

Compose, Attunity Compose

SAS Data Management Platform, Data Management Platform, DataFlux

Overview

Qlik Sense is a powerful business intelligence tool that offers a range of features to help organizations make faster and more informed decisions. Its primary use cases include operational and financial dashboards, self-service reporting, and centralized access to cross-functional reports. The solution is praised for its mobile platform, ease of use, data-sharing capabilities, and extensibility.

Qlik Sense has helped organizations improve data literacy, reduce time consumed in complex reports, and provide widely available MI to senior stakeholders. It also enables self-service analytics, improves data quality and governance, enhances collaboration, and reduces costs.

Qlik

Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.

SAS

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

Buyer's Guide

Qlik Compose vs. SAS Data Management

January 2026

Free Report: Qlik Compose vs. SAS Data Management

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