"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."
"An excellent tool for pipeline orchestration."
"The flexibility that Azure Data Factory offers is great."
"It is easy to integrate."
"The solution can scale very easily."
"It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory."
"One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."
"The initial setup is very quick and easy."
"The API toolkit is the solution's most valuable aspect at this time, for our organization."
"The monitoring capabilities of this product are very good because of the feedback it supplies in statistics."
"It is very easy to use for building connectors. It comes with a lot of connectors. For example, it has different adapters for NetSuite, which are very easy to use. It also has Salesforce connectors. The object store feature is also really easy to use. Mule Anypoint Platform is also good in terms of performance and how it is managed behind the scenes."
"Overall, it is a pretty good product. It is also very scalable."
"This is a good platform for designing, flowing out APIs, and then doing API-based integrations."
"Mule Anypoint Platform is our preferred platform for integration."
"Mule works very well with Salesforce and CRMs."
"Customers can make use of Runtime Fabric, an RTF environment."
"The solution needs to be more connectable to its own services."
"It would be better if it had machine learning capabilities."
"Real-time replication is required, and this is not a simple task."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"My only problem is the seamless connectivity with various other databases, for example, SAP."
"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."
"There is always room to improve. There should be good examples of use that, of course, customers aren't always willing to share. It is Catch-22. It would help the user base if everybody had really good examples of deployments that worked, but when you ask people to put out their good deployments, which also includes me, you usually got, "No, I'm not going to do that." They don't have enough good examples. Microsoft probably just needs to pay one of their partners to build 20 or 30 examples of functional Data Factories and then share them as a user base."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"It doesn't work well when you try using it for the processing layer."
"The runtime management and connectors could use some work and are vulnerable to breakage after upgrades."
"Pricing is one aspect of the solution that is troublesome. It's too expensive for smaller organizations."
"The solution is very expensive. They need to work on the pricing."
"Lacks intelligent management data and intelligent mappings."
"Better documentation, in particular with respect to the initial setup, would be helpful."
"An on-premise setup requires special skills and you need a lot of professional services."
Create, schedule, and manage your data integration at scale with Azure Data Factory - a hybrid data integration (ETL) service. Work with data wherever it lives, in the cloud or on-premises, with enterprise-grade security.
With connectivity, composability, and control, Anypoint Platform solves the most challenging connectivity problems across SOA, SaaS, and APIs. It's a unified, highly productive, hybrid integration platform that creates an application network of apps, data and devices with API-led connectivity.
Azure Data Factory is ranked 2nd in Data Integration Tools with 22 reviews while Mule Anypoint Platform is ranked 1st in Business-to-Business Middleware with 12 reviews. Azure Data Factory is rated 7.6, while Mule Anypoint Platform is rated 7.8. The top reviewer of Azure Data Factory writes "Easy to bring in outside capabilities, flexible, and works well". On the other hand, the top reviewer of Mule Anypoint Platform writes "Constantly improving to help connect applications, data, and devices". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Talend Open Studio, Palantir Foundry and WhereScape RED, whereas Mule Anypoint Platform is most compared with TIBCO BusinessWorks, SAP Process Orchestration, Oracle Integration Cloud Service, Mule ESB and Boomi AtomSphere Integration.
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