We performed a comparison between Aster Data Map Reduce and Azure Data Factory based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse."The most valuable feature is the ease of uploading data from multiple sources."
"The ease of deployment is useful so clients are up and running quickly in comparison to other products."
"It's stable and reliable."
"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."
"Its integrability with the rest of the activities on Azure is most valuable."
"Azure Data Factory became more user-friendly when data-flows were introduced."
"From what we have seen so far, the solution seems very stable."
"The most valuable feature of this solution would be ease of use."
"The security of the agent that is installed on-premises is very good."
"The data copy template is a valuable feature."
"It's cloud-based, allowing multiple users to easily access the solution from the office or remote locations. I like that we can set up the security protocols for IP addresses, like allow lists. It's a pretty user-friendly product as well. The interface and build environment where you create pipelines are easy to use. It's straightforward to manage the digital transformation pipelines we build."
"It is hard for some of our users to set up rules for cleansing and transforming data, so this is something that could be improved."
"There are some ways that the handling of unstructured data could be improved."
"From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing."
"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."
"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"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."
"Some known bugs and issues with Azure Data Factory could be rectified."
"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."
"Lacks in-built streaming data processing."
"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."
Aster Data Map Reduce is ranked 19th in Data Warehouse with 3 reviews while Azure Data Factory is ranked 3rd in Cloud Data Warehouse with 81 reviews. Aster Data Map Reduce is rated 7.4, while Azure Data Factory is rated 8.0. The top reviewer of Aster Data Map Reduce writes "Has good base product functionality of data storage and analytics but there should be an option to use it on the cloud ". On the other hand, the top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". Aster Data Map Reduce is most compared with , whereas Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics.
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