We performed a comparison between Informatica Enterprise Data Catalog and Qlik Replicate 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."The most valuable feature of Informatica Enterprise Data Catalog is it provides clients with a full view of the enterprise data assets. For example, how many data assets they have and who owns them."
"We can scan anything."
"The way that the solution scans is very useful."
"The metadata management of Informatica is great."
"I rate the technical support a ten out of ten."
"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."
"It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities."
"The product seems stable enough."
"The most useful functions of Qlik Replicate are the data manipulation to transformations."
"Great with replicating and updating records."
"We use Qlik Replicate to change data capture of databases in production environments."
"It enables us to transform data at the latest stage rather than in ETL loads, so it's more ELT which is one of the advantages. It is also in near real-time, which brings significant advantage for our embedded analytics approach."
"It's very user-friendly when it comes to settings and configuration. It also offers very detailed logging about warnings and errors."
"The CDC and the flexibility to use QVD as a source are the most valuable features of Qlik Replicate."
"A pretty good series of connectors is one of the best features of Qlik Replicate."
"The main valuable feature is its real-time change data capture (CDC) capabilities, which process data with minimal latency. There is not much delay. It also performs well with batch-wise data applications."
"It is not easy to set up and configure the tool."
"Currently, there are limitations in processing and the interface."
"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."
"The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future."
"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."
"It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen."
"The solution is quite expensive."
"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."
"The UI and data version control can be improved."
"We would like to see more details in messages about errors with the system."
"When you remote into it the Qlik Replicate UI a lot of times it just freezes. We set up the EC2, to allow them to go to the server and click on the Replicate icon, it just opens up and just sits there. At that point, we have to go into the EC2 and then reboot the server. This should be fixed, it is frustrating."
"Support-wise, this solution is in need of improvement."
"We'd like better connectivity."
"It's not possible to replicate the QVC files in data analytics."
"Some features can also be overly dependent on each other. So, there is room for improvement."
"In various scenarios, an important consideration is when we encounter issues and Qlik Replicate suggests reloading a specific table. If we face any problems or encounter errors with that table, it becomes necessary to make a change in Qlik Replicate. Performing a full reload every time is not feasible or practical. Instead, we should identify the specific issues and address them without repeating the entire reloading process. Based on this approach, we can investigate and resolve the problem by performing targeted loads from the source itself. This change aligns with my perspective and is something I would like to implement."
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Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 13 reviews while Qlik Replicate is ranked 16th in Data Integration with 13 reviews. Informatica Enterprise Data Catalog is rated 7.6, while Qlik Replicate is rated 8.2. 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 Replicate writes " Performs well with batch-wise data applications but some features can also be overly dependent on each other". Informatica Enterprise Data Catalog is most compared with Alation Data Catalog, Collibra Catalog, AWS Glue, Informatica PowerCenter and Denodo, whereas Qlik Replicate is most compared with Oracle GoldenGate, AWS Database Migration Service, Qlik Compose, Azure Data Factory and Fivetran. See our Informatica Enterprise Data Catalog vs. Qlik Replicate report.
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