CloverETL vs Qlik Replicate comparison

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278 views|243 comparisons
100% willing to recommend
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6,009 views|4,955 comparisons
100% willing to recommend
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Executive Summary

We performed a comparison between CloverETL 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 CloverETL vs. Qlik Replicate Report (Updated: May 2024).
771,157 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
"Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to use.""No dependence on native language and ease of use.​​""Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility.""Key features include wealth of pre-defined components; all components are customizable; descriptive logging, especially for error messages."

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"Support has been great.""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.""It's very user-friendly when it comes to settings and configuration. It also offers very detailed logging about warnings and errors.""The CDC and the flexibility to use QVD as a source are the most valuable features of Qlik Replicate.""A pretty good series of connectors is one of the best features of Qlik Replicate.""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.""We use Qlik Replicate to change data capture of databases in production environments.""From a technical perspective, this is an excellent product."

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Cons
"​Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough.​""Needs: easier automated failure recovery; more, and more intuitive auto-generated/filled-in code for components; easier/more automated sync between CloverETL Designer and CloverETL Server.""Its documentation could be improved.​"

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"We would like to see more details in messages about errors with the system.""It would be better if the solution’s pricing were more obvious.""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.""We'd like better connectivity.""This product could be improved by providing more insight regarding errors. One of our customers that uses Qlik Replicate has had an issue. We tried to debug it, but we could not trace the error message. The infrastructure site should give us more insight about errors. Qlik Replicate is not a business solution, it's an IT solution. The reporting tools and bug site should be improved.""In the next release, I would like to see closer integration with data catalyst.""The solution's flexibility to work with APIs should also be improved since it is very weak in working with APIs.""It's not possible to replicate the QVC files in data analytics."

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Pricing and Cost Advice
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  • "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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    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
    61st
    out of 101 in Data Integration
    Views
    278
    Comparisons
    243
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    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
    Replicate, Qlik Replicate
    Learn More
    Overview
    CloverETL is a rapid, end-to-end data integration solution. Businesses choose CloverETL for its usability and intuitive controls, along with its lightweight footprint, flexibility, and processing speed. Achieving true, rapid data integration means much more than just raw data processing power. Rapid refers to an end-to-end process that begins the moment a data-related problem is recognized to the point when the data is in the right place and form to be analyzed and monetized.

    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
    IBM, Oracle, MuleSoft, GoodData, Thomson Reuters, salesforce.com, Comcast, Active Network, SHOP.CA
    American Cancer Society, Fanzz, SM Retail, Smart Modular, Tangerine Bank, Wellcare
    Top Industries
    No Data Available
    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
    No Data Available
    REVIEWERS
    Small Business36%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise10%
    Large Enterprise75%
    Buyer's Guide
    CloverETL vs. Qlik Replicate
    May 2024
    Find out what your peers are saying about CloverETL vs. Qlik Replicate and other solutions. Updated: May 2024.
    771,157 professionals have used our research since 2012.

    CloverETL is ranked 61st in Data Integration while Qlik Replicate is ranked 16th in Data Integration with 13 reviews. CloverETL is rated 7.0, while Qlik Replicate is rated 8.2. The top reviewer of CloverETL writes "Provides wealth of pre-defined, customizable components, and descriptive logging for errors". 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". CloverETL is most compared with SSIS, Talend Open Studio and iWay Universal Adapter Framework, whereas Qlik Replicate is most compared with Oracle GoldenGate, AWS Database Migration Service, Qlik Compose, Azure Data Factory and Fivetran. See our CloverETL 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.