We performed a comparison between Informatica Enterprise Data Lake and Qlik Compose based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration.
"The process of using the tool's scalability option is well documented."
"Qlik Compose is good enough. It is user-friendly and intuitive."
"It can scale."
"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."
"It's a stable solution."
"One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions."
"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."
"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."
"It is a scalable solution."
"Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems."
"Qlik's ETL and data transformation could be better."
"There should be proper documentation available for the implementation process."
"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."
"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."
"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."
"There is some scope for improvement around the documentation, and a better UI would definitely help."
"I'd like to have access to more developer training materials."
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Informatica Enterprise Data Lake is ranked 41st in Data Integration with 1 review while Qlik Compose is ranked 20th in Data Integration with 12 reviews. Informatica Enterprise Data Lake is rated 7.0, while Qlik Compose is rated 7.6. The top reviewer of Informatica Enterprise Data Lake writes "A scalable tool that needs a lot of maintenance due to its unstable nature". On the other hand, the top reviewer of Qlik Compose writes "Easy matching and reconciliation of data". Informatica Enterprise Data Lake is most compared with Palantir Foundry, whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Azure Data Factory, SSIS and Palantir Foundry.
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