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."
"We use the solution to move data from on-premises to the cloud."
"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"The data copy template is a valuable feature."
"It is beneficial that the solution is written with Spark as the back end."
"An excellent tool for pipeline orchestration."
"It is easy to integrate."
"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."
"The tool's visual features are attractive."
"The most valuable features for us are flexibility, all the features related to connectivity with multiple connectors to the business, and the flexibility of on-premises and cloud deployments."
"I have found several things most valuable, including its very quick implementation that you can use a lot of out of the box templates, and lastly that it is a very mature product, especially in hybrid integration."
"Mule works very well with Salesforce and CRMs."
"The most valuable feature is the variety of characters Anypoint Platform has. It is very scalable and customizable."
"Overall, it is a pretty good product. It is also very scalable."
"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."
"The most valuable features of the Mule Anypoint Platform are the Flex Gateway, API management, easy-to-use, and connectors. Additionally, they are coming out with improvements to the solution when required."
"There are limitations when processing more than one GD file."
"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."
"I rate Azure Data Factory six out of 10 for stability. ADF is stable now, but we had problems recently with indexing on an SQL database. It's slow when dealing with a huge volume of data. It depends on whether the database is configured as general purpose or hyperscale."
"My only problem is the seamless connectivity with various other databases, for example, SAP."
"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."
"We have experienced some issues with the integration. This is an area that needs improvement."
"Lacks in-built streaming data processing."
"Azure Data Factory's pricing in terms of utilization could be improved."
"The inclusion of GenAI in the tool can be good since it is an area that is currently unavailable in the solution."
"The high price of the product is an area of concern where improvements are required."
"Although the solution's proxy design and process are good, it faces connecting issues because it lacks data integration."
"The cost of the product is an area of concern where improvements are required, especially when compared to other tools, like Dell Boomi or Oracle."
"Adding connectors for new upcoming applications would add extra value to this product."
"Lacks intelligent management data and intelligent mappings."
"In order to set up a storefront, we currently rely on a third-party solution. It would greatly enhance our operations if this feature was integrated into their existing solution."
"The runtime management and connectors could use some work and are vulnerable to breakage after upgrades."
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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