Qlik Compose vs Qlik Replicate comparison

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Qlik Logo
2,050 views|1,547 comparisons
81% willing to recommend
Qlik Logo
6,009 views|4,955 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Qlik Compose and Qlik Replicate 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 Qlik Compose vs. Qlik Replicate Report (Updated: May 2024).
770,428 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
"It is a scalable solution.""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.""It can scale.""The technical support is very good. I rate the technical support a ten out of ten.""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 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.""One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions."

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"The CDC and the flexibility to use QVD as a source are the most valuable features of Qlik Replicate.""It enables us to transform data at the latest stage rather than in ETL loads, so it's more ELT which is one of the advantages. It is also in near real-time, which brings significant advantage for our embedded analytics approach.""It's very user-friendly when it comes to settings and configuration. It also offers very detailed logging about warnings and errors.""The most useful functions of Qlik Replicate are the data manipulation to transformations.""Great with replicating and updating records.""Low-priced reporting and analytics solution, with good scalability and stability. It has on-premises and cloud versions that are cohesive and can integrate well.""A valuable feature of Qlik Replicate is that you do not need ETL. It's easy to use—you choose two systems and it automatically replicates them. Even if there is no CDC available, if you insert it and update it, and there is nothing to find out, then you can use Qlik Replicate. It's a good product.""We use Qlik Replicate to change data capture of databases in production environments."

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Cons
"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.""I'd like to have access to more developer training materials.""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.""There should be proper documentation available for the implementation process.""Qlik's ETL and data transformation could be better.""I believe that visual data flow management and the transformation function should be improved.""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."

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"We'd like better connectivity.""It would be better if the solution’s pricing were more obvious.""The UI and data version control can be improved.""It's not possible to replicate the QVC files in data analytics.""In various scenarios, an important consideration is when we encounter issues and Qlik Replicate suggests reloading a specific table. If we face any problems or encounter errors with that table, it becomes necessary to make a change in Qlik Replicate. Performing a full reload every time is not feasible or practical. Instead, we should identify the specific issues and address them without repeating the entire reloading process. Based on this approach, we can investigate and resolve the problem by performing targeted loads from the source itself. This change aligns with my perspective and is something I would like to implement.""Support-wise, this solution is in need of improvement.""Support for this product is not great. It needs to be improved.""When you remote into it the Qlik Replicate UI a lot of times it just freezes. We set up the EC2, to allow them to go to the server and click on the Replicate icon, it just opens up and just sits there. At that point, we have to go into the EC2 and then reboot the server. This should be fixed, it is frustrating."

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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 →

  • "Qlik Replicate is not expensive, compared to GoldenGate."
  • "Pricing for this solution is very reasonable."
  • "Overall, Qlik is an expensive solution. You need to pay for all additional features that you would like to use."
  • "On a scale from one to ten, where one is cheap, and ten is expensive, I rate Qlik Replicate's pricing a nine out of ten."
  • "Unlike Azure, where you pay based on consumption, Qlik Replicate seems to charge per endpoint."
  • More Qlik Replicate 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:We use Qlik Replicate to change data capture of databases in production environments.
    Top Answer:Qlik Replicate is a little fuzzy sometimes as to how it's priced. It would be better if the solution’s pricing were more obvious.
    Top Answer:Qlik Replicate is used when a company wants to make some sort of universal bus, a data chain where you have a continuous feed of data flowing in from source to target. The solution helps you hook in… more »
    Ranking
    20th
    out of 101 in Data Integration
    Views
    2,050
    Comparisons
    1,547
    Reviews
    10
    Average Words per Review
    460
    Rating
    7.7
    16th
    out of 101 in Data Integration
    Views
    6,009
    Comparisons
    4,955
    Reviews
    6
    Average Words per Review
    362
    Rating
    8.2
    Comparisons
    Also Known As
    Compose, Attunity Compose
    Replicate, Qlik Replicate
    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.

    Qlik Replicate is a data replication solution for replicating data from one source database to another for business intelligence software. It offers data manipulation and transformations, replication without impacting source databases, and ease of use without needing ETL. The solution is stable and user-friendly, with detailed logging and support. 

    Qlik Replicate has improved the organization by allowing each team to replicate their data into a single-source data location. The most important feature of Qlik Replicate is its ability to replicate and update records without needing a programmer.

    Sample Customers
    Poly-Wood
    American Cancer Society, Fanzz, SM Retail, Smart Modular, Tangerine Bank, Wellcare
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm14%
    Manufacturing Company11%
    Computer Software Company10%
    Energy/Utilities Company6%
    REVIEWERS
    Government29%
    Computer Software Company29%
    Manufacturing Company29%
    Financial Services Firm14%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company12%
    Manufacturing Company12%
    Insurance Company8%
    Company Size
    REVIEWERS
    Small Business36%
    Midsize Enterprise9%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise12%
    Large Enterprise70%
    REVIEWERS
    Small Business36%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise10%
    Large Enterprise75%
    Buyer's Guide
    Qlik Compose vs. Qlik Replicate
    May 2024
    Find out what your peers are saying about Qlik Compose vs. Qlik Replicate and other solutions. Updated: May 2024.
    770,428 professionals have used our research since 2012.

    Qlik Compose is ranked 20th in Data Integration with 12 reviews while Qlik Replicate is ranked 16th in Data Integration with 13 reviews. Qlik Compose is rated 7.6, while Qlik Replicate is rated 8.2. The top reviewer of Qlik Compose writes "Easy matching and reconciliation of data". On the other hand, the top reviewer of Qlik Replicate writes " Performs well with batch-wise data applications but some features can also be overly dependent on each other". Qlik Compose is most compared with Talend Open Studio, Oracle Data Integrator (ODI), SSIS, Azure Data Factory and Palantir Foundry, whereas Qlik Replicate is most compared with Oracle GoldenGate, AWS Database Migration Service, Azure Data Factory, Fivetran and SSIS. See our Qlik Compose vs. Qlik Replicate report.

    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.