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."I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"Data Flow and Databricks are going to be extremely valuable services, allowing data solutions to scale as the business grows and new data sources are added."
"Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft."
"The best part of this product is the extraction, transformation, and load."
"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."
"The most valuable feature is the ease in which you can create an ETL pipeline."
"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 product’s ability to seamlessly translate protocols is great."
"Customers can make use of Runtime Fabric, an RTF environment."
"The tool is very capable and offers a high performance. The tool supports batch processing and ETL processing."
"Mule Anypoint Platform is our preferred platform for integration."
"The initial setup is quite easy because the solution has a good interface through which the configuration, mapping, and so on can be done."
"Whenever we need some support in our local language, we get it easily. They also have an office in Germany and if a person is unable to contact them by phone, they can go to the office in person."
"We are very satisfied with the DevOps support."
"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."
"Some known bugs and issues with Azure Data Factory could be rectified."
"Lacks in-built streaming data processing."
"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."
"The speed and performance need to be improved."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."
"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."
"This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations."
"It should give better control over account management."
"An on-premise setup requires special skills and you need a lot of professional services."
"It doesn't work well when you try using it for the processing layer."
"We would like an entire DevOps in place in this particular solution."
"It has different types of subscriptions. For platinum or lower subscriptions, there are not too many things that can be done. We don't see many features. They should release a basic version that has logging and monitoring features. These features should come with Mule Anypoint Platform for free instead of making customers pay separately for these features. Its dashboard can be improved to have a lot of charts so that it is easy to visualize information. The utilization part can be improved. The dashboard is good currently, but it can be better. Other solutions like Elastic have a good dashboard, and they allow you to administer the product from the UI. Currently, for RTF, there is a different dashboard or utility. It would be good to include the same utility in the cloud solution. It would be good if there is a centralized repository that includes the links to the information about various troubleshooting issues. The documentation is there currently, and it is good, but the troubleshooting information is too scattered. We have to go to different links to find troubleshooting information. This kind of centralized repository would be helpful for new customers who are implementing this solution. It will be helpful to see different kinds of issues that can occur."
"The initial setup should be made easy and the documentation should have some guidance."
"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 inclusion of GenAI in the tool can be good since it is an area that is currently unavailable in the solution."
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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