Palantir Gotham vs Qlik Compose comparison

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1,998 views|1,381 comparisons
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2,162 views|1,624 comparisons
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Executive Summary

We performed a comparison between Palantir Gotham and Qlik Compose based on real PeerSpot user reviews.

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To learn more, read our detailed Data Integration Report (Updated: March 2024).
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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"This solution is seamless. From one platform, we can do just about anything."

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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.""I have found it to be a very good, stable, and strong product.""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.""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.""The technical support is very good. I rate the technical support a ten out of ten.""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.""Qlik Compose is good enough. It is user-friendly and intuitive."

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Cons
"I think there should be less coding involved. Currently, using it involves a tremendous amount of coding."

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"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.""There could be more customization options.""Qlik's ETL and data transformation could be better.""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.""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 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.""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."

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Pricing and Cost Advice
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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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    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
    31st
    out of 94 in Data Integration
    Views
    1,998
    Comparisons
    1,381
    Reviews
    1
    Average Words per Review
    279
    Rating
    8.0
    18th
    out of 94 in Data Integration
    Views
    2,162
    Comparisons
    1,624
    Reviews
    10
    Average Words per Review
    460
    Rating
    7.7
    Comparisons
    Also Known As
    Compose, Attunity Compose
    Learn More
    Overview

    The Palantir Gotham platform comprises a suite of capabilities for integrating many different data sources for secure, collaborative analysis. The platform serves as an enterprise knowledge base, containing the full record of an organization's collective analysis.

    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
    Team Rubicon, CGI
    Poly-Wood
    Top Industries
    VISITORS READING REVIEWS
    Government15%
    Computer Software Company12%
    University11%
    Financial Services Firm10%
    VISITORS READING REVIEWS
    Financial Services Firm13%
    Manufacturing Company11%
    Computer Software Company11%
    Retailer6%
    Company Size
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise10%
    Large Enterprise70%
    REVIEWERS
    Small Business36%
    Midsize Enterprise9%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise13%
    Large Enterprise70%
    Buyer's Guide
    Data Integration
    March 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Palantir Gotham is ranked 31st in Data Integration with 1 review while Qlik Compose is ranked 18th in Data Integration with 12 reviews. Palantir Gotham is rated 8.0, while Qlik Compose is rated 7.6. The top reviewer of Palantir Gotham writes "A seamless all-in-one solution ". On the other hand, the top reviewer of Qlik Compose writes "Easy matching and reconciliation of data". Palantir Gotham is most compared with Palantir Foundry, Stone Bond Enterprise Enabler, Azure Data Factory, SAS Data Management and FME, whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Azure Data Factory, SSIS and Palantir Foundry.

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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.