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."It is easy to integrate."
"I like how you can create your own pipeline in your space and reuse those creations. You can collaborate with other people who want to use your code."
"For me, it was that there are dedicated connectors for different targets or sources, different data sources. For example, there is direct connector to Salesforce, Oracle Service Cloud, etcetera, and that was really helpful."
"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."
"Data Factory's most valuable feature is Copy Activity."
"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."
"The user interface is very good. It makes me feel very comfortable when I am using the tool."
"The data copy template is a valuable feature."
"App Connect's best feature is that it can be deployed in a container."
"When using IBM stacks, IBM App Connect is suitable and integrates well with other IBM products like WebSphere."
"We use IBM App Connect for the integration between the applications."
"It has different type of interfaces that can integrate with companies."
"Very scalable, flexible, and user-friendly."
"The most valuable feature is the user-friendliness of the application."
"The solution is fast and supports Open UI 3.0 certification."
"Provides good security features."
"The pricing model should be more transparent and available online."
"I would like to be informed about the changes ahead of time, so we are aware of what's coming."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"Azure Data Factory uses many resources and has issues with parallel workflows."
"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."
"This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"There are limitations when processing more than one GD file."
"Updates are constantly delayed."
"The setup time for App Connect could be improved."
"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."
"IBM needs to enhance and have a stronger offering for the event streaming part because this is the future needed for the containerization and the new integration requirement."
"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."
"IBM App Connect should improve security features."
"The interface could be better."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while IBM App Connect is ranked 11th in Cloud Data Integration with 20 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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