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Azure Data Factory vs Qlik Replicate comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Azure Data Factory and Qlik Replicate based on real PeerSpot user reviews.

Find out in this report how the two Data Integration Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Azure Data Factory vs. Qlik Replicate report (Updated: August 2022).
633,572 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 really easy to set up and the interface is easy to use.""It is a very powerful, modern data analytics solution, in which you can integrate a large volume of data from different sources. It integrates all of the data and you can design, create, and monitor pipelines according to your requirements. It is an all-in-one day data ops solution.""StreamSets’ data drift resilience has reduced the time it takes us to fix data drift breakages. For example, in our previous Hadoop scenario, when we were creating the Sqoop-based processes to move data from source to destinations, we were getting the job done. That took approximately an hour to an hour and a half when we did it with Hadoop. However, with the StreamSets, since it works on a data collector-based mechanism, it completes the same process in 15 minutes of time. Therefore, it has saved us around 45 minutes per data pipeline or table that we migrate. Thus, it reduced the data transfer, including the drift part, by 45 minutes.""I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks.""In StreamSets, everything is in one place.""StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved."

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"The solution is okay.""The solution can scale very easily.""One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect.""An excellent tool for pipeline orchestration.""The data copy template is a valuable feature.""It's cloud-based, allowing multiple users to easily access the solution from the office or remote locations. I like that we can set up the security protocols for IP addresses, like allow lists. It's a pretty user-friendly product as well. The interface and build environment where you create pipelines are easy to use. It's straightforward to manage the digital transformation pipelines we build.""It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory.""I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."

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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.""The most useful functions of Qlik Replicate are the data manipulation to transformations.""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."

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Cons
"We've seen a couple of cases where it appears to have a memory leak or a similar problem.""Sometimes, when we have large amounts of data that is very efficiently stored in Hadoop or Kafka, it is not very efficient to run it through StreamSets, due to the lack of efficiency or the resources that StreamSets is using.""Currently, we can only use the query to read data from SAP HANA. What we would like to see, as soon as possible, is the ability to read from multiple tables from SAP HANA. That would be a really good thing that we could use immediately. For example, if you have 100 tables in SQL Server or Oracle, then you could just point it to the schema or the 100 tables and ingestion information. However, you can't do that in SAP HANA since StreamSets currently is lacking in this. They do not have a multi-table feature for SAP HANA. Therefore, a multi-table origin for SAP HANA would be helpful.""We create pipelines or jobs in StreamSets Control Hub. It is a great feature, but if there is a way to have a folder structure or organize the pipelines and jobs in Control Hub, it would be great. I submitted a ticket for this some time back.""The logging mechanism could be improved. If I am working on a pipeline, then create a job out of it and it is running, it will generate constant logs. So, the logging mechanism could be simplified. Now, it is a bit difficult to understand and filter the logs. It takes some time.""If you use JDBC Lookup, for example, it generally takes a long time to process data."

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"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial.""Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate.""It would be better if it had machine learning capabilities.""The one element of the solution that we have used and could be improved is the user interface.""We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on.""Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail.""It can improve from the perspective of active logging. It can provide active logging information.""Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."

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"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.""We'd like better connectivity.""Support for this product is not great. It needs to be improved.""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."

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Pricing and Cost Advice
  • "We are running the community version right now, which can be used free of charge."
  • "StreamSets Data Collector is open source. One can utilize the StreamSets Data Collector, but the Control Hub is the main repository where all the jobs are present. Everything happens in Control Hub."
  • "It has a CPU core-based licensing, which works for us and is quite good."
  • "There are different versions of the product. One is the corporate license version, and the other one is the open-source or free version. I have been using the corporate license version, but they have recently launched a new open-source version so that anybody can create an account and use it. The licensing cost varies from customer to customer. I don't have a lot of input on that. It is taken care of by PMO, and they seem fine with its pricing model. It is being used enterprise-wide. They seem to have got a good deal for StreamSets."
  • "The pricing is good, but not the best. They have some customized plans you can opt for."
  • More StreamSets Pricing and Cost Advice →

  • "The price you pay is determined by how much you use it."
  • "Understanding the pricing model for Data Factory is quite complex."
  • "I would not say that this product is overly expensive."
  • "The licensing is a pay-as-you-go model, where you pay for what you consume."
  • "Our licensing fees are approximately 15,000 ($150 USD) per month."
  • "The licensing cost is included in the Synapse."
  • "It's not particularly expensive."
  • "Product is priced at the market standard."
  • More Azure Data Factory Pricing and Cost Advice →

  • "Qlik Replicate is not expensive, compared to GoldenGate."
  • "Pricing for this solution is very reasonable."
  • More Qlik Replicate Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:It is really easy to set up and the interface is easy to use.
    Top Answer:We've seen a couple of cases where it appears to have a memory leak or a similar problem. It grows for a bit and then… more »
    Top Answer:We typically use it to transport our Oracle raw datasets up to Microsoft Azure, and then into SQL databases there.
    Top Answer:AWS Glue and Azure Data factory for ELT best performance cloud services.
    Top Answer:Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability… more »
    Top Answer:Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load… more »
    Top Answer:Low-priced reporting and analytics solution, with good scalability and stability. It has on-premises and cloud versions… more »
    Top Answer:As Qlik Sense is filling all the use cases that we need it to do, the only area for improvement I could think of for… more »
    Top Answer:We use Qlik Sense for consolidating and bringing together data across multiple sources, so our business users can get… more »
    Comparisons
    Also Known As
    Replicate, Qlik Replicate
    Learn More
    StreamSets
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    Overview

    StreamSets offers an end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps, and power the modern data ecosystem and hybrid integration.

    Only StreamSets provides a single design experience for all design patterns for 10x greater developer productivity; smart data pipelines that are resilient to change for 80% less breakages; and a single pane of glass for managing and monitoring all pipelines across hybrid and cloud architectures to eliminate blind spots and control gaps.

    With StreamSets, you can deliver the continuous data that drives the connected enterprise.

    Create, schedule, and manage your data integration at scale with Azure Data Factory - a hybrid data integration (ETL) service. Work with data wherever it lives, in the cloud or on-premises, with enterprise-grade security.

    Qlik Replicate empowers organizations to accelerate data real-time replication, ingestion and streaming via change data capture, across a wide range of heterogeneous databases, data warehouses and data lake platforms.

    Offer
    Learn more about StreamSets
    Learn more about Azure Data Factory
    Learn more about Qlik Replicate
    Sample Customers
    Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge
    Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid
    American Cancer Society, Fanzz, SM Retail, Smart Modular, Tangerine Bank, Wellcare
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company15%
    Insurance Company8%
    Government7%
    REVIEWERS
    Computer Software Company32%
    Non Profit11%
    Insurance Company7%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Computer Software Company20%
    Financial Services Firm11%
    Comms Service Provider9%
    Energy/Utilities Company7%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm11%
    Comms Service Provider9%
    Manufacturing Company9%
    Company Size
    REVIEWERS
    Small Business14%
    Midsize Enterprise29%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    REVIEWERS
    Small Business24%
    Midsize Enterprise22%
    Large Enterprise54%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise14%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business12%
    Midsize Enterprise13%
    Large Enterprise75%
    Buyer's Guide
    Azure Data Factory vs. Qlik Replicate
    August 2022
    Find out what your peers are saying about Azure Data Factory vs. Qlik Replicate and other solutions. Updated: August 2022.
    633,572 professionals have used our research since 2012.

    Azure Data Factory is ranked 2nd in Data Integration Tools with 35 reviews while Qlik Replicate is ranked 18th in Data Integration Tools with 4 reviews. Azure Data Factory is rated 8.0, while Qlik Replicate is rated 7.6. The top reviewer of Azure Data Factory writes "There's the good, the bad and the ugly....unfortunately lots of ugly". On the other hand, the top reviewer of Qlik Replicate writes "Reasonably priced reporting and analytics solution, with good scalability and stability". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Microsoft Azure Synapse Analytics and Talend Open Studio, whereas Qlik Replicate is most compared with AWS Database Migration Service, Oracle GoldenGate, Qlik Compose, SAP Data Services and SSIS. See our Azure Data Factory vs. Qlik Replicate report.

    See our list of best Data Integration Tools vendors.

    We monitor all Data Integration Tools 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.