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."Powerful but easy-to-use and intuitive."
"The solution has a good interface and the integration with GitHub is very useful."
"The most valuable feature is the ease in which you can create an ETL pipeline."
"I like that it's a monolithic data platform. This is why we propose these solutions."
"The most valuable features are data transformations."
"The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem."
"The initial setup is very quick and easy."
"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."
"The product's initial setup phase was easy."
"We work on the flow between systems and the most valuable features for that purpose are the mapping of data, interface mapping, and data integration."
"The platform is user-friendly."
"AtomSphere Integration will suit those looking for small automation and simple integrations."
"Low-code development is the most valuable feature."
"Boomi AtomSphere Integration is stable."
"Very effective with its drag-and-drop feature."
"The product's integration features are quite rich and low code. It is easy to use."
"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."
"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 would like to be informed about the changes ahead of time, so we are aware of what's coming."
"There are limitations when processing more than one GD file."
"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."
"The pricing model should be more transparent and available online."
"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."
"I have not found any real shortcomings within the product."
"It crashes if we run high-volume integration."
"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."
"Documentation could be improved."
"The product could be a little bit more user-friendly."
"We would like to see more involvement between Dell Boomi and the end-users to help improve the customer experience."
"We encountered stability issues occasionally, one to two times a year."
"There should be more scripting possibilities."
"Boomi AtomSphere Integration is not yet exposed to the world as a good product owing to certain shortcomings in the area of marketing where improvements are required."
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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