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."It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"The solution has a good interface and the integration with GitHub is very useful."
"The security of the agent that is installed on-premises is very good."
"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."
"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."
"Azure Data Factory became more user-friendly when data-flows were introduced."
"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."
"The data copy template is a valuable feature."
"The best features are that it is a cloud-based and a multi-tenant tool."
"The Salesforce and NetSuite Application specific “connectors” provide a layer of abstraction on top of the SOAP-based APIs to streamline integration development."
"The product's integration features are quite rich and low code. It is easy to use."
"The connection configuration part and the drag-and-drop integration module are the most valuable features for me."
"The platform is user-friendly."
"The iPaaS functionality is very mature. The browser based IDE is also very mature and stable."
"This solution has a user-friendly interface and very good documentation with solutions that helped us in working with the tool efficiently."
"The most valuable feature of the solution is its monitoring part to debug certain issues and find problems."
"Data Factory's cost is too high."
"There is no built-in pipeline exit activity when encountering an error."
"Azure Data Factory can improve by having support in the drivers for change data capture."
"The thing we missed most was data update, but this is now available as of two weeks ago."
"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."
"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."
"Data Factory's monitorability could be better."
"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."
"We would like to see more involvement between Dell Boomi and the end-users to help improve the customer experience."
"In my experience, I haven't encountered any major issues with the tool. However, there could be a learning curve for new users, especially depending on which tool you're using. For example, I've used MuleSoft in the past, which is more code-oriented and requires knowledge of Java. Transitioning to Boomi AtomSphere Integration took me a couple of months because of differences in terminology."
"They need to introduce more configurable functions to remove scripting or coding. Scripting should be minimized. It should have exhaustive functions. Currently, it lacks in this aspect."
"There are still some areas that need improvement. For example, when updates are going on, the product becomes very slow."
"There is no validation in the mapping profile custom scripting, such as IntelliSense or advanced error checking."
"The high price of the solution is an area of concern where improvements are required."
"There should be more scripting possibilities."
"There are very few string handling functions and few mathematical functions are available."
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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