We performed a comparison between Azure Data Factory and IBM App Connect 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."I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."
"Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."
"The trigger scheduling options are decently robust."
"The function of the solution is great."
"The most valuable feature is the copy activity."
"It's extremely consistent."
"The data factory agent is quite good and programming or defining the value of jobs, processes, and activities is easy."
"Very scalable, flexible, and user-friendly."
"The most valuable feature is the user-friendliness of the application."
"I like the adapters. The adapters help us achieve scalability. If you want to connect to SAP, there's an adapter. Salesforce? There's an adapter. You want to connect to another system? There's likely an adapter for that."
"Technical support is good."
"I would say that the most valuable feature is the array of connectors and integration tools."
"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."
"App Connect's best feature is that it can be deployed in a container."
"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"The solution needs to be more connectable to its own services."
"Lacks a decent UI that would give us a view of the kinds of requests that come in."
"There aren't many third-party extensions or plugins available in the solution."
"The pricing model should be more transparent and available online."
"Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost."
"Azure Data Factory's pricing in terms of utilization could be improved."
"More connectors could be available for the product as some of the third-party software doesn't have default connectors."
"Plugins for the repositories are difficult to find."
"When we do a version upgrade of the system, the platform is kind of complicated."
"In the next release, I would like to get some quality connectors."
"They reply in one or two hours at most, but they could be better."
"The product should improve its support."
"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."
"It is not easy to deploy. It requires someone with a high level of knowledge in the solution to deploy it, not just anyone can do it."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while IBM App Connect is ranked 11th in Cloud Data Integration with 21 reviews. Azure Data Factory is rated 8.0, while IBM App Connect 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 IBM App Connect writes "Very flexible and user-friendly; embeds with other technologies; no dependency on queue manager". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas IBM App Connect is most compared with IBM Cloud Pak for Integration, Mule Anypoint Platform, webMethods Integration Server, IBM InfoSphere DataStage and TIBCO BusinessWorks. See our Azure Data Factory vs. IBM App Connect report.
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