CloverDX Designer vs Qlik Compose comparison

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CloverDX Logo
237 views|163 comparisons
100% willing to recommend
Qlik Logo
2,050 views|1,547 comparisons
81% willing to recommend
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Executive Summary

We performed a comparison between CloverDX Designer and Qlik Compose 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).
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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
"Its simplicity and the way it handles graphs are the most valuable features."

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"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 is a scalable solution.""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 can scale.""The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities.""The technical support is very good. I rate the technical support a ten out of ten.""It's a stable solution."

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Cons
"If I could give any advice to the guys who are developing it, I would suggest them to really look at the enterprise features, such as being able to log what's going on, being able to capture the current state of processing, and being able to recover from error situations. So, there should be a focus on logging, recoverability, and monitoring. We should be able to monitor what's going on, and in case of any issues, we should be able to recover and restart processing and other things. For scalability and performance, I would probably suggest the Pushdown feature so that you can do the transformation directly on the data source. You do not need to do that calculation within the ETL server. For this, you should be aware of the type of data because each database or kind of storage, such as Hadoop, has its own ANSI standard or language, such as SQL. Microsoft, Oracle, and IBM have their own language. Based on the feedback that I have got, its initial setup takes some time. It could perhaps be simpler."

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

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Pricing and Cost Advice
  • "Its price and value for money would be okay for our purpose if there were some additional features."
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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
    68th
    out of 101 in Data Integration
    Views
    237
    Comparisons
    163
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    20th
    out of 101 in Data Integration
    Views
    2,050
    Comparisons
    1,547
    Reviews
    10
    Average Words per Review
    460
    Rating
    7.7
    Comparisons
    Also Known As
    Compose, Attunity Compose
    Learn More
    Overview

    We help clients build and manage better data pipelines, with the CloverDX Data Management Platform and our in-house team of data experts.

    Founded in 2007, we now have offices in the US, UK and Czech Republic, and work with some of the world’s leading companies in industries such as finance, healthcare and consulting.

    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
    Allant Group, NDP, Porch, GoodData
    Poly-Wood
    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    Financial Services Firm14%
    Manufacturing Company11%
    Computer Software Company10%
    Energy/Utilities Company6%
    Company Size
    No Data Available
    REVIEWERS
    Small Business36%
    Midsize Enterprise9%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise12%
    Large Enterprise70%
    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.
    769,630 professionals have used our research since 2012.

    CloverDX Designer is ranked 68th in Data Integration while Qlik Compose is ranked 20th in Data Integration with 12 reviews. CloverDX Designer is rated 7.0, while Qlik Compose is rated 7.6. The top reviewer of CloverDX Designer writes "Simple, stable, and allows us to handle data from various sources, but needs enterprise features for logging, recoverability, and monitoring". On the other hand, the top reviewer of Qlik Compose writes "Easy matching and reconciliation of data". CloverDX Designer is most compared with , whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, SSIS, Azure Data Factory and Oracle Data Integrator (ODI).

    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.