We performed a comparison between Azure Data Factory and Boomi iPaaS 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."The solution can scale very easily."
"The trigger scheduling options are decently robust."
"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."
"It is beneficial that the solution is written with Spark as the back end."
"It is easy to deploy workflows and schedule jobs."
"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."
"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 connection configuration part and the drag-and-drop integration module are the most valuable features for me."
"The solution has a lot of connectors, which is quite helpful."
"The product's integration features are quite rich and low code. It is easy to use."
"AtomSphere Integration will suit those looking for small automation and simple integrations."
"The tool's most valuable features I've found are related to debugging and testing. It makes it easy to track execution, documents, and process history. This functionality is particularly useful for identifying issues with data and providing insights to the business."
"The platform is user-friendly."
"The product's initial setup phase was easy."
"Very effective with its drag-and-drop feature."
"They require more detailed error reporting, data normalization tools, easier connectivity to other services, more data services, and greater compatibility with other commonly used schemas."
"The one element of the solution that we have used and could be improved is the user interface."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."
"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."
"The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it."
"I have not found any real shortcomings within the product."
"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."
"The product's UI could be more convenient."
"We would like to see more involvement between Dell Boomi and the end-users to help improve the customer experience."
"The product could be a little bit more user-friendly."
"There is no validation in the mapping profile custom scripting, such as IntelliSense or advanced error checking."
"There should be more scripting possibilities."
"There are still some areas that need improvement. For example, when updates are going on, the product becomes very slow."
"Have to create some of our own pre-built connectors."
"In day-to-day operations, tracking transactions is a major challenge. It takes hours to track a single transaction. It is not a straightforward process."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Boomi iPaaS is ranked 5th in Integration Platform as a Service (iPaaS) with 25 reviews. Azure Data Factory is rated 8.0, while Boomi iPaaS is rated 7.8. 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 Boomi iPaaS writes "Stable product, suitable for limited integrations and lacks flexibility ". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Boomi iPaaS is most compared with Microsoft Azure Logic Apps, webMethods Integration Server, SSIS, Oracle Integration Cloud Service and Mule Anypoint Platform. See our Azure Data Factory vs. Boomi iPaaS report.
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