Qlik Compose vs SAS Data Integration Server comparison

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Qlik Logo
2,092 views|1,579 comparisons
81% willing to recommend
SAS Logo
1,073 views|969 comparisons
80% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Qlik Compose and SAS Data Integration Server based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration.
To learn more, read our detailed Data Integration Report (Updated: April 2024).
768,740 professionals have used our research since 2012.
Featured Review
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.""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.""One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions.""It's a stable solution.""It is a scalable solution.""I have found it to be a very good, stable, and strong product."

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"The most valuable feature of the solution is its amazing capabilities in regard to data handling.""The solution offers very good data manipulation and loading.""The solution is very stable."

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Cons
"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.""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.""There is some scope for improvement around the documentation, and a better UI would definitely help.""I believe that visual data flow management and the transformation function should be improved.""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.""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 should be proper documentation available for the implementation process.""I'd like to have access to more developer training materials."

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"The transform tool has limited access. They should make it more flexible.""The initial setup of SAS Data Integration Server was complex.""So I would like to see improved integration with other software."

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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."
  • More Qlik Compose Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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 cubes… more »
    Top Answer:The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities.
    Top Answer:While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us.
    Top Answer:The most valuable feature of the solution is its amazing capabilities in regard to data handling.
    Top Answer:I don't handle the cost and budget part. From the tool's perspective, I can say that it is an amazing product.
    Top Answer:Visualization is an area with a few shortcomings in the product. Some new and amazing visualization capabilities have been added to the product, but I haven't used them enough to be able to comment on… more »
    Ranking
    20th
    out of 100 in Data Integration
    Views
    2,092
    Comparisons
    1,579
    Reviews
    10
    Average Words per Review
    460
    Rating
    7.7
    34th
    out of 100 in Data Integration
    Views
    1,073
    Comparisons
    969
    Reviews
    1
    Average Words per Review
    589
    Rating
    8.0
    Comparisons
    Also Known As
    Compose, Attunity Compose
    SAS Enterprise Data Integration Server, Enterprise Data Integration Server
    Learn More
    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.

    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.
    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
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm14%
    Manufacturing Company12%
    Computer Software Company10%
    Energy/Utilities Company6%
    VISITORS READING REVIEWS
    Financial Services Firm24%
    Government12%
    Computer Software Company10%
    Insurance Company7%
    Company Size
    REVIEWERS
    Small Business36%
    Midsize Enterprise9%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise10%
    Large Enterprise74%
    Buyer's Guide
    Data Integration
    April 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: April 2024.
    768,740 professionals have used our research since 2012.

    Qlik Compose is ranked 20th in Data Integration with 12 reviews while SAS Data Integration Server is ranked 34th in Data Integration with 3 reviews. Qlik Compose is rated 7.6, while SAS Data Integration Server is rated 7.4. The top reviewer of Qlik Compose writes "Easy matching and reconciliation of data". On the other hand, the top reviewer of SAS Data Integration Server writes "A stable and scalable tool with data handling capabilities and an amazing technical support". Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Azure Data Factory, SSIS and Palantir Foundry, whereas SAS Data Integration Server is most compared with Palantir Foundry, SSIS, Oracle Data Integrator (ODI), Azure Data Factory and AWS Glue.

    See our list of best Data Integration vendors.

    We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.