We performed a comparison between Informatica Data Integration Hub 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 technical support services are good."
"Performance and flexibility-wise, they're very user-friendly."
"The MDM solution is capable of integrating multiple systems, so it helped us to solve the purpose of centralizing the depository as well as the standardization of mass data. It takes away all the ambiguity around data integrity issues or all the process challenges which happen when every stage of a process uses a different source as master data."
"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."
"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."
"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."
"The technical support is very good. I rate the technical support a ten out of ten."
"It can scale."
"Qlik Compose is good enough. It is user-friendly and intuitive."
"When it comes to UI look and feel and user experience, Informatica is not as good as other solutions."
"They could provide more robust performance for data integration processes. It would help in improving the data quality more efficiently."
"The initial setup was not very straightforward. Not complex, but not very simple either."
"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."
"I believe that visual data flow management and the transformation function should be improved."
"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."
"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'd like to have access to more developer training materials."
"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."
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Informatica Data Integration Hub is ranked 37th in Data Integration with 3 reviews while Qlik Compose is ranked 20th in Data Integration with 12 reviews. Informatica Data Integration Hub is rated 8.0, while Qlik Compose is rated 7.6. The top reviewer of Informatica Data Integration Hub writes "Excellent at standardizing mass data and capable of integrating with multiple solutions ". On the other hand, the top reviewer of Qlik Compose writes "Easy matching and reconciliation of data". Informatica Data Integration Hub is most compared with Informatica PowerCenter, AWS Database Migration Service, Azure Data Factory, SAP Data Hub and Mule Anypoint Platform, whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Azure Data Factory, SSIS and Palantir Foundry.
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