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."

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

"It's a stable solution."

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

"Qlik Compose is good enough. It is user-friendly and intuitive."

"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."

"The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities."

"It can scale."

More Qlik Compose pros

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

"The product offers very good flexibility."

"I find the solution to be very stable."

"Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools."

"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."

"The tool is reliable, quick, and powerful."

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

More SAS Data Management pros

Cons

"There could be more customization options."

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

"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."

"For more complex work, we are not using Qlik Compose because it cannot handle very high volumes at the moment. It needs the same batching capabilities that other ETL tools have. We can't batch the data into small chunks when transforming large amounts of data. It tries to do everything in one shot and that's where it fails."

"My issues with the solution's stability are owing to the fact that it has certain bugs causing issues in some functionalities that should be working."

"There is some scope for improvement around the documentation, and a better UI would definitely help."

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

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

More Qlik Compose cons

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

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

"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."

"There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage."

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

"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 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."

More SAS Data Management cons

Pricing and Cost Advice

"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."

"While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us."

"The tool is a bit expensive."

"The licensing model for vCenter is a perpetual license with yearly payments."

"The solution is expensive."

"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."

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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.

See all answers

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 21% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Compose

Compared 12% of the time

Qlik Talend Cloud vs Qlik Compose

Compared 11% of the time

Palantir Foundry vs Qlik Compose

Compared 10% 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 15% of the time

Collibra Platform vs SAS Data Management

Compared 11% 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

December 2025

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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