We performed a comparison between Azure Data Factory 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."Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft."
"From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature."
"We have found the bulk load feature very valuable."
"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."
"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."
"It's cloud-based, allowing multiple users to easily access the solution from the office or remote locations. I like that we can set up the security protocols for IP addresses, like allow lists. It's a pretty user-friendly product as well. The interface and build environment where you create pipelines are easy to use. It's straightforward to manage the digital transformation pipelines we build."
"Powerful but easy-to-use and intuitive."
"Allows more data between on-premises and cloud solutions"
"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."
"A pretty good series of connectors is one of the best features of Qlik Replicate."
"Support has been great."
"Great with replicating and updating records."
"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."
"The most useful functions of Qlik Replicate are the data manipulation to transformations."
"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 product's technical support has certain shortcomings, making it an area where improvements are required."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"Data Factory's cost is too high."
"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."
"The initial setup is not very straightforward."
"There are limitations when processing more than one GD file."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"There's space for improvement in the development process of the data pipelines."
"Support for this product is not great. It needs to be improved."
"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."
"In the next release, I would like to see closer integration with data catalyst."
"The solution's flexibility to work with APIs should also be improved since it is very weak in working with APIs."
"It's not possible to replicate the QVC files in data analytics."
"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."
"We would like to see more details in messages about errors with the system."
"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."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Qlik Replicate is ranked 17th in Data Integration with 12 reviews. Azure Data Factory is rated 8.0, while Qlik Replicate is rated 8.2. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". 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". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas Qlik Replicate is most compared with Oracle GoldenGate, AWS Database Migration Service, Qlik Compose, Fivetran and SSIS. See our Azure Data Factory vs. Qlik Replicate report.
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