Ab Initio Co>Operating System vs Qlik Compose comparison

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Ab Initio Logo
2,206 views|1,092 comparisons
66% willing to recommend
Qlik Logo
2,092 views|1,579 comparisons
81% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Ab Initio Co>Operating System and Qlik Compose based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Ab Initio Co>Operating System vs. Qlik Compose Report (Updated: March 2024).
768,578 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
"Co>Operating System's most valuable feature is its ability to process bulk data effectively.""Ab Initio reaches the highest performance and is very flexible in processing huge amounts of data."

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"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 technical support is very good. I rate the technical support a ten out of ten.""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.""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.""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.""It can scale."

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Cons
"Co>Operating System would be improved with more integrations for less well-known technologies.""An awesome improvement would be big data solutions, for example, implementing some kind of business intelligence or neural networks for artificial intelligence."

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"Qlik's ETL and data transformation could be better.""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.""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.""I'd like to have access to more developer training materials.""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.""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 could be more customization options."

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Pricing and Cost Advice
  • "Co>Operating System's pricing is on the expensive end since it tends to be used by big enterprises."
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  • "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:Co>Operating System's most valuable feature is its ability to process bulk data effectively.
    Top Answer:Co>Operating System would be improved with more integrations for less well-known technologies. In the next release, Co>Operating System should include some AI capabilities on the data governance side… more »
    Top Answer:My primary use of this solution is in the banking sector to process financial movements and generate reports. I also use it in the risk area of banking to detect thefts and risky behaviors.
    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.
    Ranking
    28th
    out of 100 in Data Integration
    Views
    2,206
    Comparisons
    1,092
    Reviews
    2
    Average Words per Review
    243
    Rating
    9.5
    20th
    out of 100 in Data Integration
    Views
    2,092
    Comparisons
    1,579
    Reviews
    10
    Average Words per Review
    460
    Rating
    7.7
    Comparisons
    Also Known As
    Co>Operating System
    Compose, Attunity Compose
    Learn More
    Ab Initio
    Video Not Available
    Overview
    The Co>Operating System is an environment for building, integrating, and running enterprise business applications. The Co>Operating System is the foundation for all of Ab Initio's technologies. These technologies provide a complete and seamless application development and execution environment.

    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.

    Sample Customers
    A multinational transportation company
    Poly-Wood
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm41%
    Computer Software Company9%
    Insurance Company6%
    Educational Organization6%
    VISITORS READING REVIEWS
    Financial Services Firm14%
    Manufacturing Company12%
    Computer Software Company10%
    Energy/Utilities Company6%
    Company Size
    VISITORS READING REVIEWS
    Small Business12%
    Midsize Enterprise7%
    Large Enterprise81%
    REVIEWERS
    Small Business36%
    Midsize Enterprise9%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise70%
    Buyer's Guide
    Ab Initio Co>Operating System vs. Qlik Compose
    March 2024
    Find out what your peers are saying about Ab Initio Co>Operating System vs. Qlik Compose and other solutions. Updated: March 2024.
    768,578 professionals have used our research since 2012.

    Ab Initio Co>Operating System is ranked 28th in Data Integration with 2 reviews while Qlik Compose is ranked 20th in Data Integration with 12 reviews. Ab Initio Co>Operating System is rated 9.6, while Qlik Compose is rated 7.6. The top reviewer of Ab Initio Co>Operating System writes "High performance and flexible solution for companies with large amounts of data". On the other hand, the top reviewer of Qlik Compose writes "Easy matching and reconciliation of data". Ab Initio Co>Operating System is most compared with SSIS, Collibra Catalog, AWS Glue, Informatica Cloud Data Integration and Talend Data Management Platform, whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Azure Data Factory, SSIS and Palantir Foundry. See our Ab Initio Co>Operating System vs. Qlik Compose report.

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    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.