We performed a comparison between Informatica Data Integration Hub 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 technical support services are good."
"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."
"Performance and flexibility-wise, they're very user-friendly."
"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."
"Great with replicating and updating records."
"A pretty good series of connectors is one of the best features of Qlik Replicate."
"It's very user-friendly when it comes to settings and configuration. It also offers very detailed logging about warnings and errors."
"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."
"Low-priced reporting and analytics solution, with good scalability and stability. It has on-premises and cloud versions that are cohesive and can integrate well."
"From a technical perspective, this is an excellent product."
"They could provide more robust performance for data integration processes. It would help in improving the data quality more efficiently."
"When it comes to UI look and feel and user experience, Informatica is not as good as other solutions."
"The initial setup was not very straightforward. Not complex, but not very simple either."
"We'd like better connectivity."
"We would like to see more details in messages about errors with the system."
"It would be better if the solution’s pricing were more obvious."
"Support for this product is not great. It needs to be improved."
"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."
"In the next release, I would like to see closer integration with data catalyst."
"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 Data Integration Hub is ranked 47th in Data Integration with 3 reviews while Qlik Replicate is ranked 16th in Data Integration with 12 reviews. Informatica Data Integration Hub is rated 8.0, while Qlik Replicate is rated 8.2. 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 Replicate writes "A highly stable solution that can be used to change data capture in legacy systems". Informatica Data Integration Hub is most compared with Informatica PowerCenter, AWS Database Migration Service, Azure Data Factory, Mule Anypoint Platform and SAP Data Hub, whereas Qlik Replicate is most compared with Oracle GoldenGate, AWS Database Migration Service, Qlik Compose, Azure Data Factory and Fivetran.
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