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."It's stable and reliable."
"The ease of deployment is useful so clients are up and running quickly in comparison to other products."
"The most valuable feature is the ease of uploading data from multiple sources."
"The flexibility that Azure Data Factory offers is great."
"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"We have been using drivers to connect to various data sets and consume data."
"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."
"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."
"The data factory agent is quite good and programming or defining the value of jobs, processes, and activities is easy."
"The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."
"It makes it easy to collect data from different sources."
"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."
"There are some ways that the handling of unstructured data could be improved."
"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."
"When working with AWS, we have noticed that the difference between ADF and AWS is that AWS is more customer-focused. They're more responsive compared to any other company. ADF is not as good as AWS, but it should be. If AWS is ten out of ten, ADF is around eight out of ten. I think AWS is easier to understand from the GUI perspective compared to ADF."
"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"The initial setup is not very straightforward."
"The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it."
"When the record fails, it's tough to identify and log."
"The solution needs to be more connectable to its own services."
"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
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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