We performed a comparison between Azure Data Factory and Boomi AtomSphere Integration 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."From what we have seen so far, the solution seems very stable."
"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."
"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."
"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."
"Allows more data between on-premises and cloud solutions"
"Azure Data Factory became more user-friendly when data-flows were introduced."
"The solution can scale very easily."
"The scalability of the product is impressive."
"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."
"This solution has a user-friendly interface and very good documentation with solutions that helped us in working with the tool efficiently."
"It is a low-code and high-configuration platform, which is very valuable. Develop once and run anywhere is another useful feature. It also has connectors for more than 200 applications. It provides value for money. Our customers who have implemented this solution have a very high ROI."
"The connection configuration part and the drag-and-drop integration module are the most valuable features for me."
"The platform is user-friendly."
"The product's initial setup phase was easy."
"The product's integration features are quite rich and low code. It is easy to use."
"I really appreciate the on-the-go access through the browser and the B2B integration."
"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."
"There's no Oracle connector if you want to do transformation using data flow activity, so Azure Data Factory needs more connectors for data flow transformation."
"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."
"The support and the documentation can be improved."
"Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features."
"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."
"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."
"It would be better if it had machine learning capabilities."
"Boomi AtomSphere Integration should scale up on the migration area."
"We encountered stability issues occasionally, one to two times a year."
"It crashes if we run high-volume integration."
"Documentation could be improved."
"The high price of the solution is an area of concern where improvements are required."
"They should create a custom connector option. With this, they could improve where the user can create the connector, based on their usage."
"We would like to see more involvement between Dell Boomi and the end-users to help improve the customer experience."
"There are more mature (dedicated) API management and master data management (MDM) solutions available in the market."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Boomi AtomSphere Integration is ranked 5th in Integration Platform as a Service (iPaaS) with 25 reviews. Azure Data Factory is rated 8.0, while Boomi AtomSphere Integration 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 AtomSphere Integration 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 Microsoft Azure Synapse Analytics, whereas Boomi AtomSphere Integration is most compared with Microsoft Azure Logic Apps, webMethods Integration Server, Oracle Integration Cloud Service, SSIS and AWS Glue. See our Azure Data Factory vs. Boomi AtomSphere Integration report.
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