We performed a comparison between Informatica Enterprise Data Catalog and Qlik Compose based on real PeerSpot user reviews.
Find out in this report how the two Metadata Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."We can scan anything."
"It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities."
"I like EDC's self-service capabilities. You can put the catalog on the intranet inside the organization, so users can search for something. People in the research world have specialized systems, and you might find data from various places that sound similar."
"The metadata management of Informatica is great."
"The product seems stable enough."
"Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."
"The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application."
"The capability of the tool to scan and capture the metadata from a variety of sources is one of the capabilities that I find most useful. The central repository into which it is going to put that captured metadata is the best."
"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 most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities."
"Qlik Compose is good enough. It is user-friendly and intuitive."
"It can scale."
"I have found it to be a very good, stable, and strong product."
"One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions."
"It is a scalable solution."
"It's a stable solution."
"Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly."
"The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future."
"They have to improve their relationship discovery tool. They say that they have AI inside, but this AI did not automatically find relationships or suggested relationships between entities."
"The scalability is tough."
"This solution is hard to set up and its interface is not user-friendly. It's also not as stable, and the technical support takes a lot of time to solve simple problems."
"Interoperability is one area where EDC has room for improvement. It was challenging when the faculty took over the data world and had specific vendors they wanted to use, and some were not particularly open platforms."
"It is not easy to set up and configure the tool."
"IEDC can improve the comparison of lineages."
"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."
"I'd like to have access to more developer training materials."
"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."
"Qlik's ETL and data transformation could be better."
"There could be more customization options."
"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."
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Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 13 reviews while Qlik Compose is ranked 20th in Data Integration with 12 reviews. Informatica Enterprise Data Catalog is rated 7.6, while Qlik Compose is rated 7.6. The top reviewer of Informatica Enterprise Data Catalog writes "They listen to their customers, so if something is missing or not working, they will put it on their roadmap". On the other hand, the top reviewer of Qlik Compose writes "Easy matching and reconciliation of data". Informatica Enterprise Data Catalog is most compared with Alation Data Catalog, Collibra Catalog, AWS Glue, Informatica PowerCenter and Denodo, whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Oracle Data Integrator (ODI), SSIS and IBM InfoSphere DataStage. See our Informatica Enterprise Data Catalog vs. Qlik Compose report.
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