Qlik Compose vs SAS Data Integration Server comparison

Qlik and SAS are both solutions in the Data Integration category. Qlik is ranked #34 with an average rating of 7.0, while SAS is ranked #37 with an average rating of 7.5. Qlik holds a 1.2% mindshare in DI, compared to SAS’s 0.6% mindshare. Additionally, 81% of Qlik users are willing to recommend the solution, compared to 83% of SAS users who would recommend it.

Qlik Compose

Read 12 Qlik Compose reviews

1,406 Views
1,209 Comparison Views

81% willing to recommend

SAS Data Integration Server

Read 4 SAS Data Integration Server reviews

773 Views
564 Comparison Views

83% willing to recommend

Qlik Compose

SAS Data Integration Server

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

SAS Data Integration Server and Qlik Compose are in the data integration and management category, with Qlik Compose often having the upper hand due to its integration features and overall value, while SAS stands out in data management and support.

Features: SAS Data Integration Server offers advanced data management solutions, scalability for enterprise needs, and comprehensive support. Qlik Compose is recognized for its intuitive transformation capabilities, flexibility, and efficient integration for diverse environments.

Ease of Deployment and Customer Service: Qlik Compose provides a streamlined deployment process and efficient customer service, ensuring minimal disruption to existing systems. SAS Data Integration Server requires more extensive setup due to its feature-rich offerings, but offers significant support to assist users throughout.

Pricing and ROI: SAS Data Integration Server demands a higher initial investment, reflecting its extensive features and support, promising long-term gains. Qlik Compose offers a cost-effective pricing model with quicker ROI, appealing to those prioritizing rapid deployment and scalable pricing.

To learn more, read our detailed Qlik Compose vs. SAS Data Integration Server Report (Updated: August 2025).

Buyer's Guide

Qlik Compose vs. SAS Data Integration Server

August 2025

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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

34th

Average Rating

7.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

SAS Data Integration Server

Ranking in Data Integration

37th

Average Rating

7.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Data Integration category, the mindshare of Qlik Compose is 1.2%, up from 0.9% compared to the previous year. The mindshare of SAS Data Integration Server is 0.6%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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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reviewer2937544

Works at a financial services firm with 5,001-10,000 employees

Offloads processes on the server side but needs better installation syntax

One area for improvement is the installation process. Another point could be the syntax, as it sometimes involves using syntax names that are not intuitive. For example, to calculate the difference between two dates, the general syntax in SAS is called the data difference or data net function. However, another name is used, such as NF and INK. Without knowledge of SAS programming, it becomes unclear what these functions mean. It is not good to define function names this way.

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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."

"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 can scale."

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

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

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

"It's a stable solution."

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

More Qlik Compose pros

"A key feature allows us to enhance job performance by offloading processing to the server side, rather than processing on the server itself."

"The most valuable feature of the solution is its amazing capabilities in regard to data handling."

"The solution is very stable."

"The solution offers very good data manipulation and loading."

"A key feature allows us to enhance job performance by offloading processing to the server side, rather than processing on the server itself."

Cons

"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."

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

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

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

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

More Qlik Compose cons

"So I would like to see improved integration with other software."

"The initial setup had issues, and even after using it for about one year, it was still not fixed."

"The transform tool has limited access. They should make it more flexible."

"The initial setup of SAS Data Integration Server was complex."

"One area for improvement is the installation process."

"The initial setup had issues, and even after using it for about one year, it was still not fixed."

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."

"It is an expensive program."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

10%

Government

Computer Software Company

Financial Services Firm

27%

Computer Software Company

Government

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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 do you like most about Qlik Compose?

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

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What is your experience regarding pricing and costs for Qlik Compose?

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

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What do you like most about SAS Data Integration Server?

The most valuable feature of the solution is its amazing capabilities in regard to data handling.

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

I don't handle the cost and budget part. From the tool's perspective, I can say that it is an amazing product.

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What needs improvement with SAS Data Integration Server?

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Comparisons

Qlik Replicate vs Qlik Compose

Compared 43% of the time

Talend Open Studio vs Qlik Compose

Compared 15% of the time

Palantir Foundry vs Qlik Compose

Compared 13% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Compose

Compared 8% of the time

Azure Data Factory vs Qlik Compose

Compared 8% of the time

More Qlik Compose Competitors

SSIS vs SAS Data Integration Server

Compared 33% of the time

Azure Data Factory vs SAS Data Integration Server

Compared 22% of the time

Palantir Foundry vs SAS Data Integration Server

Compared 17% of the time

Oracle Data Integrator (ODI) vs SAS Data Integration Server

Compared 15% of the time

AWS Glue vs SAS Data Integration Server

Compared 13% of the time

More SAS Data Integration Server Competitors

Product Reports

Buyer's Guide

Qlik Compose

August 2025

Download Qlik Compose product report

Buyer's Guide

Data Integration

August 2025

Download SAS Data Integration Server product report

Also Known As

Compose, Attunity Compose

SAS Enterprise Data Integration Server, Enterprise Data Integration Server

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

SAS Data Integration Server is a powerful, configurable and comprehensive solution that can meet a wide variety of data integration requirements, from small tactical projects to strategic business initiatives. It can access virtually all data sources, support data warehousing, migration, synchronization, federation and provisioning initiatives. It can support both batch-oriented and real-time master data management solutions. It can create reusable data integration services in support of service-oriented architectures and data governance and extract, cleanse, transform, conform, aggregate, load and manage data.

SAS

Sample Customers

Poly-Wood

Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, West Midlands Police, XS Inc., Zenith Insurance

Buyer's Guide

Qlik Compose vs. SAS Data Integration Server

August 2025

Free Report: Qlik Compose vs. SAS Data Integration Server

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