We performed a comparison between JumpMind SymmetricDS and Qlik Replicate based on real PeerSpot user reviews.
Find out what your peers are saying about NetApp, Fivetran, Dell Technologies and others in Data Replication."It is fully featured. It has allowed me to do everything I wanted to do."
"Great with replicating and updating records."
"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."
"From a technical perspective, this is an excellent product."
"The most useful functions of Qlik Replicate are the data manipulation to transformations."
"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."
"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 CDC and the flexibility to use QVD as a source are the most valuable features of Qlik Replicate."
"Support has been great."
"The user interface could improve. We are looking at some cloud-based databases, and I don't think they support that."
"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."
"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."
"Support for this product is not great. It needs to be improved."
"We'd like better connectivity."
"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."
"It would be better if the solution’s pricing were more obvious."
JumpMind SymmetricDS is ranked 13th in Data Replication while Qlik Replicate is ranked 17th in Data Integration with 12 reviews. JumpMind SymmetricDS is rated 9.0, while Qlik Replicate is rated 8.2. The top reviewer of JumpMind SymmetricDS writes "Excellent change data capture utility for distributed multi site environment". 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". JumpMind SymmetricDS is most compared with Oracle GoldenGate, AWS Database Migration Service, SSIS, Confluent and StreamSets, whereas Qlik Replicate is most compared with Oracle GoldenGate, AWS Database Migration Service, Qlik Compose, Azure Data Factory and Fivetran.
We monitor all Data Replication reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
