Qlik Compose vs SAS Data Management comparison

Qlik and SAS are both solutions in the Data Integration category. Qlik is ranked #51, while SAS is ranked #27 with an average rating of 10.0. 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

2,450 Views
2,034 Comparison Views

81% willing to recommend

SAS Data Management

Read 19 SAS Data Management reviews

4,656 Views
2,607 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: June 2026).

Buyer's Guide

Qlik Compose vs. SAS Data Management

June 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

51st

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

27th

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 July 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

Biostatistician 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

"It can scale."

"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."

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

"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 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."

"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."

More Qlik Compose pros

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

"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."

"For the warehouse and BI environment, SAS is very quick, very intuitive, very, very powerful, and very valuable."

"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."

"The product offers very good flexibility."

"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 monitoring capabilities are very good."

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

More SAS Data Management pros

Cons

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

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

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

"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."

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

"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."

"There could be more customization options."

More Qlik Compose cons

"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 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."

"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."

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

"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."

"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."

"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."

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."

"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."

"The tool is a bit expensive."

"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."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Government

11%

Manufacturing Company

Comms Service Provider

Financial Services Firm

17%

Outsourcing Company

Construction Company

Comms Service Provider

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?

SAS Data Management can be improved in terms of the learning curve.

See all answers

What is your primary use case for SAS Data Management?

My main use case for using SAS Data Management is data cleaning for my clinical trial data because my data is very large, and I need clean, reliable, and regulatory compliance data. My data comes f...

See all answers

Comparisons

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Compared 10% of the time

Qlik Talend Cloud vs Qlik Compose

Compared 8% of the time

SSIS vs Qlik Compose

Compared 7% of the time

WhereScape RED vs Qlik Compose

Compared 7% of the time

AWS Database Migration Service vs Qlik Compose

Compared 6% of the time

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Informatica PowerCenter vs SAS Data Management

Compared 9% of the time

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

Compared 8% 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

June 2026

Download Qlik Compose product report

Buyer's Guide

SAS Data Management

June 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

June 2026

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