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 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."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"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."
"Great features available in one tool."
"The virtualization tool is useful."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"The solution offers very good end-to-end capabilities."
"It's scalable."
"Great with replicating and updating records."
"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."
"The CDC and the flexibility to use QVD as a source are the most valuable 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."
"From a technical perspective, this is an excellent product."
"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."
"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."
"If you want to create new models on specific data sets, computing that is quite costly."
"The workflow 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."
"It requires a lot of manual work and is very time-consuming to get to a functional point."
"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."
"Difficult to receive data from external sources."
"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."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"We'd like better connectivity."
"This product could be improved by providing more insight regarding errors. One of our customers that uses Qlik Replicate has had an issue. We tried to debug it, but we could not trace the error message. The infrastructure site should give us more insight about errors. Qlik Replicate is not a business solution, it's an IT solution. The reporting tools and bug site should be improved."
"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."
"The solution's flexibility to work with APIs should also be improved since it is very weak in working with APIs."
"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."
Palantir Foundry is ranked 11th in Data Integration with 13 reviews while Qlik Replicate is ranked 16th in Data Integration with 13 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 " Performs well with batch-wise data applications but some features can also be overly dependent on each other". 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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