We performed a comparison between Azure Data Factory and Mule Anypoint Platform 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 has a good interface and the integration with GitHub is very useful."
"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."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"I like that it's a monolithic data platform. This is why we propose these solutions."
"Powerful but easy-to-use and intuitive."
"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"The most valuable aspect is the copy capability."
"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"Mule Anypoint Platform's valuable features are its flexibility in terms of deployment and its SaaS capabilities."
"API management."
"The monitoring capabilities of this product are very good because of the feedback it supplies in statistics."
"It has improved our organization a lot because of the increase in productivity, and it has simplified the development of products. MuleSoft Anypoint Platform is a highly effective tool where you can build integrations so effectively. If you establish the integration platform, it increases productivity. It helps us to do effective re-authentication, and it speeds the integration."
"The platform's cloud integration capabilities are good."
"The solution's deployment and proxy processes are very good."
"It can scale."
"The integration potential is excellent."
"We have experienced some issues with the integration. This is an area that needs improvement."
"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."
"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."
"It would be better if it had machine learning capabilities."
"I would like to be informed about the changes ahead of time, so we are aware of what's coming."
"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."
"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."
"The Microsoft documentation is too complicated."
"We would like an entire DevOps in place in this particular solution."
"The terms of use and how it's priced has become very difficult to manage, which is forcing us to look for alternatives already - and we haven't even been using it for that long just yet."
"An on-premise setup requires special skills and you need a lot of professional services."
"The compatibility with vendors can be improved. Microsoft Azure heavily uses single software."
"The platform's data integration tools need improvement on the processing side."
"It should give better control over account management."
"Price-wise, it is a good product since it is reasonably priced...Mule Anypoint Platform can get too complex for non-technical people."
"The pricing can be a little bit less."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Mule Anypoint Platform is ranked 2nd in Business-to-Business Middleware with 41 reviews. Azure Data Factory is rated 8.0, while Mule Anypoint Platform 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 Mule Anypoint Platform writes "Robust, reliable, and stable, ensuring high availability for critical integrations". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Mule Anypoint Platform is most compared with MuleSoft Composer, Microsoft Azure Logic Apps, SAP Process Orchestration, Oracle Integration Cloud Service and TIBCO BusinessWorks. See our Azure Data Factory vs. Mule Anypoint Platform report.
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