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."I rate the technical support a ten out of ten."
"The product seems stable enough."
"The solution scales well."
"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."
"The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application."
"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."
"Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."
"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."
"The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities."
"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."
"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."
"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."
"Qlik Compose is good enough. It is user-friendly and intuitive."
"It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen."
"It is not easy to set up and configure the tool."
"The model is somewhat flexible. There are certain aspects of the model that are not as flexible as we would like. It doesn't do certain things to a great level of depth. So, in situations where we want to drill in to do something specific, we have to essentially copy that data into our own structures in order to add that additional layer of flexibility."
"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."
"The scalability is tough."
"Currently, there are limitations in processing and the interface."
"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."
"There could be more customization options."
"There should be proper documentation available for the implementation process."
"Qlik's ETL and data transformation could be better."
"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."
"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."
"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."
"There is some scope for improvement around the documentation, and a better UI would definitely help."
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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 "Great metadata management with more visibility and great technical support". 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, Azure Data Factory, SSIS and AWS Database Migration Service. See our Informatica Enterprise Data Catalog vs. Qlik Compose report.
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