We performed a comparison between Informatica PowerCenter and Qlik Replicate based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature of Informatica PowerCenter is the flow designer functionally. It is the best out of any ETL tool. Additionally, the solution is reliable and trustable in dealing with large data sources anytime. When we're using billions of data transactions, it's smooth."
"UI-based ability to create data mapping."
"It reduces a lot of legacy coding."
"What I like the most is that we have to deal with less while writing the queries."
"I found the map links, work links, and workflows valuable. They are important features."
"Can manage a huge quantity of data and provide reliability."
"The technical support for Informatica PowerCenter is good."
"It's a complete package, which is why we use this solution."
"It's very user-friendly when it comes to settings and configuration. It also offers very detailed logging about warnings and errors."
"We use Qlik Replicate to change data capture of databases in production environments."
"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."
"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."
"From a technical perspective, this is an excellent product."
"Support has been great."
"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."
"Great with replicating and updating records."
"This product is going to decommission in the next couple of years."
"The only problem with this product is the level of complexity with the number of levels of transformation that you have to go through."
"I would like to see improvements made to the custom transformations. It should be more open for users that want to write their own code and use cases."
"Integration with Artificial Intelligence would benefit this solution."
"It would be better if I could do all the work within a single window. If I'm working on any mapping and if I have to switch to sessions, I have to open a new window altogether. If I have to get into workflows, I have to open a new window. It was also very expensive. In the next release, I would like it to be more user-friendly."
"If we could have the option of performance improvement within Informatica, and if it could have more features, that would be ideal."
"The solution could have better documentation on basic steps or blocks that specify what to do."
"Areas for improvement in Informatica PowerCenter include scalability and high availability or the clustering configuration because that's still very basic. The elasticity or scaling of the platform needs a lot of improvement. For example, when it comes to DR handling or building an active-active or active-passive cluster, Informatica PowerCenter is still not that powerful. Automation also needs improvement in the solution. Improving automation leads to some improvement in the stability of Informatica PowerCenter and other aspects related to it. What I'd like to see in the next release of Informatica PowerCenter is real-time capability because the solution is mainly for patches, and to have real-time integration, you need to count on some additional components from Informatica. I would expect more integration and a complete platform in terms of real-time capability or patching with minimal interventions or minimal components to be aligned together."
"We'd like better connectivity."
"Support for this product is not great. It needs to be improved."
"It's not possible to replicate the QVC files in data analytics."
"Support-wise, this solution is in need of 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."
"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."
Informatica PowerCenter is ranked 3rd in Data Integration with 78 reviews while Qlik Replicate is ranked 17th in Data Integration with 12 reviews. Informatica PowerCenter is rated 8.0, while Qlik Replicate is rated 8.2. The top reviewer of Informatica PowerCenter writes "Stable, provides good support, and integrating it with other systems is very fast, but its pricing is expensive". 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 PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, Databricks and AWS Glue, whereas Qlik Replicate is most compared with Oracle GoldenGate, AWS Database Migration Service, Qlik Compose, Azure Data Factory and Fivetran. See our Informatica PowerCenter vs. Qlik Replicate report.
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