We performed a comparison between IBM App Connect and Qlik Compose based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."We use IBM App Connect for the integration between the applications."
"It has an efficient design flow."
"I would say that the most valuable feature is the array of connectors and integration tools."
"It's a powerful application for collaboration. It has many features for customization and integration."
"Provides good security features."
"When using IBM stacks, IBM App Connect is suitable and integrates well with other IBM products like WebSphere."
"It's stable to use, connect with the cloud, and to deploy."
"It can handle API conversions with mapping and transformation rules, simplifying the development process."
"The technical support is very good. I rate the technical support a ten out of ten."
"One of the most valuable features of this tool is its automation capabilities, allowing us to design the warehouse in an automated manner. Additionally, we can generate Data Lifecycle Policies (DLP) reports and efficiently implement updates and best practices based on proven design patterns."
"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."
"It's a stable solution."
"I have found it to be a very good, stable, and strong product."
"Qlik Compose is good enough. It is user-friendly and intuitive."
"One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions."
"It is a scalable solution."
"Updates are constantly delayed."
"When we do a version upgrade of the system, the platform is kind of complicated."
"More connectors could be available for the product as some of the third-party software doesn't have default connectors."
"In the next release, I would like to get some quality connectors."
"The installation of containers could be simplified, as it currently requires a senior-level installer."
"The interface could be better."
"The setup time for App Connect could be improved."
"IBM App Connect is scalable. From the administration side, they need to improve the RBAC model, as well as the clustering of this product. It will be good if we can start up the cluster, via IBM Connect Console. Some other products like MuleSoft, are providing this type of administration. MuleSoft is easy to use and user friendly."
"I believe that visual data flow management and the transformation function should be improved."
"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."
"There should be proper documentation available for the implementation process."
"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."
"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."
"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."
"Qlik's ETL and data transformation could be better."
"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."
IBM App Connect is ranked 11th in Cloud Data Integration with 20 reviews while Qlik Compose is ranked 20th in Data Integration with 12 reviews. IBM App Connect is rated 8.2, while Qlik Compose is rated 7.6. The top reviewer of IBM App Connect writes "Very flexible and user-friendly; embeds with other technologies; no dependency on queue manager". On the other hand, the top reviewer of Qlik Compose writes "Easy matching and reconciliation of data". IBM App Connect is most compared with IBM Cloud Pak for Integration, Mule Anypoint Platform, webMethods Integration Server, IBM InfoSphere DataStage and TIBCO BusinessWorks, whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Azure Data Factory, SSIS and Palantir Foundry. See our IBM App Connect vs. Qlik Compose report.
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