We performed a comparison between JumpMind SymmetricDS and Qlik Compose 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."
"As long as you pick the solution that best fits with your requirements, you won't find that performance is a problem. It's good."
"The technical support is very good. I rate the technical support a ten out of ten."
"The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities."
"It's a stable solution."
"Qlik Compose is good enough. It is user-friendly and intuitive."
"It can scale."
"I like modeling and code generation. It has become a pretty handy tool because of its short ideation to delivery time. From the time you decide you are modeling a data warehouse, and once you finish the modeling, it generates all the code, generates all the tables. All you have to do is tick a few things, and you can produce a fully functional warehouse. I also like that they have added all the features I have asked for over four years."
"One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions."
"The user interface could improve. We are looking at some cloud-based databases, and I don't think they support that."
"There should be proper documentation available for the implementation process."
"The solution has room for improvement in the ETL. They have an ETL, but when it comes to the monitoring portion, Qlik Compose doesn't provide a feature for monitoring."
"When processing data from certain tables with a large volume of data, we encounter significant delays. For instance, when dealing with around one million records, it typically takes three to four hours. To address this, I aim to implement performance improvements across all tables, ensuring swift processing similar to those that are currently complete within seconds. The performance issue primarily arises when we analyze the inserts and updates from the source, subsequently dropping the table. While new insertions are handled promptly, updates are processed slowly, leading to performance issues. Despite consulting our Qlik vendors, they were unable to pinpoint the exact cause of this occurrence. Consequently, I am seeking ways to optimize performance within Qlik Compose, specifically concerning updates."
"It could enhance its capabilities in the realm of self-service options as currently, it is more suited for individuals with technical proficiency who can create pages using it."
"I'd like to have access to more developer training materials."
"There is some scope for improvement around the documentation, and a better UI would definitely help."
"For more complex work, we are not using Qlik Compose because it cannot handle very high volumes at the moment. It needs the same batching capabilities that other ETL tools have. We can't batch the data into small chunks when transforming large amounts of data. It tries to do everything in one shot and that's where it fails."
"My issues with the solution's stability are owing to the fact that it has certain bugs causing issues in some functionalities that should be working."
JumpMind SymmetricDS is ranked 13th in Data Replication while Qlik Compose is ranked 20th in Data Integration with 12 reviews. JumpMind SymmetricDS is rated 9.0, while Qlik Compose is rated 7.6. 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 Compose writes "Easy matching and reconciliation of data". JumpMind SymmetricDS is most compared with Oracle GoldenGate, AWS Database Migration Service, Confluent, SSIS and Azure Data Factory, whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, SSIS, Azure Data Factory and Oracle Data Integrator (ODI).
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