We performed a comparison between Azure Data Factory and Qlik Compose 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."I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"The security of the agent that is installed on-premises is very good."
"It makes it easy to collect data from different sources."
"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."
"Azure Data Factory became more user-friendly when data-flows were introduced."
"It's extremely consistent."
"Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft."
"The most valuable feature is the ease in which you can create an ETL pipeline."
"It's a stable solution."
"Qlik Compose is good enough. It is user-friendly and intuitive."
"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."
"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."
"The technical support is very good. I rate the technical support a ten out of ten."
"It can scale."
"Azure Data Factory's pricing in terms of utilization could be improved."
"It would be better if it had machine learning capabilities."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"We require Azure Data Factory to be able to connect to Google Analytics."
"There is always room to improve. There should be good examples of use that, of course, customers aren't always willing to share. It is Catch-22. It would help the user base if everybody had really good examples of deployments that worked, but when you ask people to put out their good deployments, which also includes me, you usually got, "No, I'm not going to do that." They don't have enough good examples. Microsoft probably just needs to pay one of their partners to build 20 or 30 examples of functional Data Factories and then share them as a user base."
"Azure Data Factory uses many resources and has issues with parallel workflows."
"There is no built-in pipeline exit activity when encountering an error."
"Qlik's ETL and data transformation could be better."
"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 believe that visual data flow management and the transformation function should be improved."
"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."
"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."
"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."
"There could be more customization options."
"There is some scope for improvement around the documentation, and a better UI would definitely help."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Qlik Compose is ranked 18th in Data Integration with 12 reviews. Azure Data Factory is rated 8.0, while Qlik Compose is rated 7.6. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of Qlik Compose writes "Easy matching and reconciliation of data". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Oracle Data Integrator (ODI), ILANTUS Compact Identity and Palantir Foundry. See our Azure Data Factory vs. Qlik Compose report.
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