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 am one hundred percent happy with the stability."
"In terms of my personal experience, it works fine."
"I can do everything I want with SSIS and Azure Data Factory."
"Data Flow and Databricks are going to be extremely valuable services, allowing data solutions to scale as the business grows and new data sources are added."
"The trigger scheduling options are decently robust."
"The most valuable feature of this solution would be ease of use."
"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."
"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."
"One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions."
"It's a stable solution."
"The technical support is very good. I rate the technical support a ten out of ten."
"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."
"Qlik Compose is good enough. It is user-friendly and intuitive."
"It can scale."
"It is a scalable solution."
"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."
"I would like to see this time travel feature in Snowflake added to Azure Data Factory."
"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."
"It would be better if it had machine learning capabilities."
"The pricing scheme is very complex and difficult to understand."
"The thing we missed most was data update, but this is now available as of two weeks ago."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"Some of the optimization techniques are not scalable."
"Lacks a decent UI that would give us a view of the kinds of requests that come in."
"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."
"Qlik's ETL and data transformation could be better."
"There is some scope for improvement around the documentation, and a better UI would definitely help."
"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."
"There could be more customization options."
"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."
"There should be proper documentation available for the implementation process."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Qlik Compose is ranked 20th 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 Microsoft Azure Synapse Analytics, whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Oracle Data Integrator (ODI), SSIS and Palantir Foundry. See our Azure Data Factory vs. Qlik Compose report.
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