Qlik Compose vs SAS Data Management comparison

Qlik and SAS are both solutions in the Data Integration category. Qlik is ranked #49, while SAS is ranked #26 with an average rating of 9.3. Qlik holds a 0.8% mindshare in DI, compared to SAS’s 1.2% 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

2,319 Views
1,948 Comparison Views

81% willing to recommend

SAS Data Management

Read 19 SAS Data Management reviews

4,330 Views
2,425 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: May 2026).

Buyer's Guide

Qlik Compose vs. SAS Data Management

May 2026

Download the complete report

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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

49th

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

26th

Average Rating

8.6

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Quality (6th), Data Governance (24th)

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of Qlik Compose is 0.8%, down from 1.1% compared to the previous year. The mindshare of SAS Data Management is 1.2%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
SAS Data Management	1.2%
Qlik Compose	0.8%
Other	98.0%

Data Integration

Featured Reviews

Susheel A

Director - Metrics & Analytics at a computer software company with 1,001-5,000 employees

Efficient data warehouse automation with robust features, but may require enhancements in user-friendly self-service options and pricing flexibility for broader corporate appeal

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 it comes to end users who may lack technical expertise, they are limited to toggling between existing developments. To empower end users to make critical changes without relying heavily on technical expertise, it would be beneficial to introduce more user-friendly features for development and modification. If it could incorporate correlation analysis capabilities into its platform, especially in a user-friendly manner, it would greatly enhance the tool's overall utility and make it an even more outstanding solution. There is a room for improvement regarding stability.

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Namanjbaraiya Baru

Senior Technical Officer - Biostatistics & Programming at Lambda Therapeutic Research Ltd.

Data management has ensured compliant clinical trial datasets and supports reliable analysis

SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform. The other valuable feature is data cleaning and the compliance that SAS Data Management provides. I can connect SAS Data Management with other SAS applications, as I am using SAS Viya, SAS 9.4, and SAS Enterprise Guide. The data query functionality of SAS Data Management is also very useful. Since I am using SAS Data Management, and SAS Data Management is well trusted by all regulatory authorities, the audit trails and security checks are very good. It is very reliable, very time-saving, and the chances of error are minimal.

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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

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

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

"It can scale."

"I have found it to be a very good, stable, and strong product."

"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."

"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."

More Qlik Compose pros

"National Quality Knoledge Base Matching features QPI (Quality Performance Indicator) analysis approach"

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

"There is a huge ROI."

"Their software pricing offers the best value for money on the market."

"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."

"Reliable data plus less human intervention and less error have made a significant difference."

"Previously our business users would have to write complex SQL or issue requests to the technical team in order to get the information needed, and they find it much easier using the Dataflux product to access the information stored in the database for the type of analyses they have to do on a day to day basis."

"The interface of the solution is great, you don't need to be an experienced analytics person to work with the product, and even new users can do all sorts of modeling on the data."

More SAS Data Management pros

Cons

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

"There could be more customization options."

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

"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."

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

"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."

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

"I don't think Qlik can be used in a high-volume scenario. It didn't work for us."

More Qlik Compose cons

"Costly. Not great for non-ETL use cases."

"The solution could use better documentation."

"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."

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

"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."

"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."

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

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

More SAS Data Management cons

Pricing and Cost Advice

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

"The price of the solution is expensive."

"On a scale of one to ten, where one is cheap, and ten is very expensive, I rate the solution a six."

"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

13%

Government

11%

Manufacturing Company

Comms Service Provider

Financial Services Firm

18%

Government

Comms Service Provider

Construction 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	8
Midsize Enterprise	2
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...

See all answers

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

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

See all answers

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, ...

See all answers

Comparisons

Qlik Replicate vs Qlik Compose

Compared 10% of the time

Qlik Talend Cloud vs Qlik Compose

Compared 8% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Compose

Compared 7% of the time

WhereScape RED vs Qlik Compose

Compared 7% of the time

SSIS vs Qlik Compose

Compared 6% of the time

More Qlik Compose Competitors

Informatica PowerCenter vs SAS Data Management

Compared 10% of the time

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

Compared 9% of the time

WhereScape RED vs SAS Data Management

Compared 8% of the time

Collibra Platform vs SAS Data Management

Compared 5% of the time

Qlik Talend Cloud vs SAS Data Management

Compared 4% of the time

More SAS Data Management Competitors

Product Reports

Buyer's Guide

Qlik Compose

May 2026

Download Qlik Compose product report

Buyer's Guide

SAS Data Management

May 2026

Download SAS Data Management product report

Also Known As

Compose, Attunity Compose

SAS Data Management Platform, Data Management Platform, DataFlux

Overview

Qlik Compose enhances data management with ETL capabilities, data integration with CDC, and real-time replication. Its intuitive interface enables easy data modeling and automation, supporting various database integrations.

Qlik Compose is designed for efficient data preparation, migration, and warehouse generation. It incorporates ETL functionalities and data integration with CDC, allowing users to effortlessly create data marts without code. Its automation features facilitate warehouse design while graphical representations and connectivity options increase versatility across multiple sources. Users value its stability, scalability, and the support provided, although improvements in ETL functionalities, performance for large datasets, and NoSQL integration are needed. The solution is widely used in business intelligence with tools like Qlik Replicate for real-time data replication and requires direct SQL for complex transformations.

What are the key features of Qlik Compose?

ETL Capabilities: Simplifies data extraction, transformation, and loading
Data Integration with CDC: Enables real-time data replication
Intuitive Interface: Facilitates easy data modeling and automation
Drag-and-Drop Functionality: Streamlines data task management
Auto-Mapping: Enhances integration of multiple data sources
No-Code Data Marts Creation: Reduces dependency on technical skills

What benefits should users consider in the reviews?

Stability and Scalability: Reliable functioning for growing data needs
Technical Support: Availability of assistance for troubleshooting
Real-Time Replication Capabilities: Efficient data processing and analytics
Low-Code Development: Simplifies complex data handling processes

In industries, Qlik Compose is implemented for enhancing data preparation, migration, and warehousing. It is used in small projects or straightforward data integration tasks and supports business intelligence efforts by offering low-code capabilities, enabling companies to deliver tailored analytics solutions efficiently.

Qlik

SAS Data Management provides data integration, governance, and robust reporting tools. It connects to diverse data sources, ensuring quality management and enabling data analysis for technical and non-technical users.

SAS Data Management features flexible data flow creation, scheduling, and ETL control. It enhances data integration and metadata management with tools that support data standardization. Users benefit from its importing and exporting capabilities, connecting to multiple sources. It facilitates improved data quality management and offers a flexible language for diverse needs. Data visualization capabilities further support decision-making across industries, automating reports and data warehouses.

What are the key features of SAS Data Management?

User-friendly interface: Intuitive navigation facilitates ease of use.
Easy data flow creation: Streamlines processes for seamless data management.
Scheduling and ETL control: Automates tasks for increased efficiency.
Data integration: Connects datasets from multiple origins.
Metadata management: Ensures consistency and quality of data.
Data governance: Provides tools for managing data compliance.
Robust reporting: Delivers comprehensive insights through detailed reports.

What benefits and ROI should be considered?

Data standardization: Enhances data predictability and usability.
Data quality management: Improves accuracy and integrity.
Flexible language: Adapts to specific user requirements.
Import/export capabilities: Facilitates seamless data transitions.
Support for diverse users: Offers tools suitable for varied skill levels.
Automation features: Saves time by reducing manual processes.

SAS Data Management helps industries like finance integrate diverse data sources for analytics and reporting. It is used for tasks such as financial reporting, credit risk analysis, and data cleansing. Through user-driven automation, it aids in aligning data warehouses and generating insightful visual outputs, making it ideal for analyzing structured data from sources like Excel and CSV files.

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

May 2026

Free Report: Qlik Compose vs. SAS Data Management

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