We performed a comparison between Informatica Enterprise Data Lake and Qlik Replicate 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."
"Support has been great."
"A pretty good series of connectors is one of the best features of Qlik Replicate."
"Qlik Replicate stands out with its cutting-edge technology and its ability to handle diverse data management tasks. This powerful tool allows us to efficiently and swiftly load data into various data stores or destinations, while also enabling easy distribution across different endpoints. A notable feature is its capability to reload data from multiple sources by creating multiple tasks within a brief timeframe of fifteen to twenty minutes. This eliminates the need for manual intervention and ensures quick data loading from different tables."
"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."
"The CDC and the flexibility to use QVD as a source are the most valuable features of Qlik Replicate."
"The most useful functions of Qlik Replicate are the data manipulation to transformations."
"We use Qlik Replicate to change data capture of databases in production environments."
"A valuable feature of Qlik Replicate is that you do not need ETL. It's easy to use—you choose two systems and it automatically replicates them. Even if there is no CDC available, if you insert it and update it, and there is nothing to find out, then you can use Qlik Replicate. It's a good product."
"Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems."
"We would like to see more details in messages about errors with the system."
"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."
"Support for this product is not great. It needs to be improved."
"We'd like better connectivity."
"It would be better if the solution’s pricing were more obvious."
"In the next release, I would like to see closer integration with data catalyst."
"The UI and data version control can be improved."
"The solution's flexibility to work with APIs should also be improved since it is very weak in working with APIs."
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Informatica Enterprise Data Lake is ranked 41st in Data Integration with 1 review while Qlik Replicate is ranked 17th in Data Integration with 12 reviews. Informatica Enterprise Data Lake is rated 7.0, while Qlik Replicate is rated 8.2. 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 Replicate writes "A highly stable solution that can be used to change data capture in legacy systems". Informatica Enterprise Data Lake is most compared with Palantir Foundry, whereas Qlik Replicate is most compared with Oracle GoldenGate, AWS Database Migration Service, Qlik Compose, Azure Data Factory and Fivetran.
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