We performed a comparison between Palantir Foundry 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 solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."
"The solution offers very good end-to-end capabilities."
"The virtualization tool is useful."
"The ease of use is my favorite feature. We're able to build different models and projects or combine different projects to build one use case."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"The security is also excellent. It's highly granular, so the admins have a high degree of control, and there are many levels of security. That worked well. You won't have an EDC unless you put everything onto the platform because it is its own isolated thing."
"It's scalable."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"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."
"A pretty good series of connectors is one of the best features of Qlik Replicate."
"From a technical perspective, this is an excellent product."
"We use Qlik Replicate to change data capture of databases in production environments."
"Great with replicating and updating records."
"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."
"The CDC and the flexibility to use QVD as a source are the most valuable 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."
"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."
"Some error messages can be very cryptic."
"They do not have a data center in Europe, and we have lots of personally identifiable information in our dataset that needs to be hosted by a third-party data center like Amazon or Microsoft Azure."
"The workflow could be improved."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
"The solution could use more online documentation for new users."
"The frontend capabilities of Palantir Foundry could be improved."
"The data lineage was challenging. It's hard to track data from the sources as it moves through stages. Informatica EDC can easily capture and report it because it talks to the metadata. This is generated across those various staging points."
"The UI and data version control can be improved."
"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."
"We'd like better connectivity."
"In the next release, I would like to see closer integration with data catalyst."
"It's not possible to replicate the QVC files in data analytics."
"The solution's flexibility to work with APIs should also be improved since it is very weak in working with APIs."
"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."
Palantir Foundry is ranked 11th in Data Integration with 13 reviews while Qlik Replicate is ranked 17th in Data Integration with 12 reviews. Palantir Foundry is rated 7.6, while Qlik Replicate is rated 8.2. The top reviewer of Palantir Foundry writes "The data visualization is fantastic and the security is excellent". 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". Palantir Foundry is most compared with Azure Data Factory, Palantir Gotham, SAP Data Services, AWS Glue and Alteryx Designer, whereas Qlik Replicate is most compared with Oracle GoldenGate, AWS Database Migration Service, Qlik Compose, Azure Data Factory and Fivetran. See our Palantir Foundry vs. Qlik Replicate report.
See our list of best Data Integration vendors and best Cloud Data Integration vendors.
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