We performed a comparison between Azure Data Factory and JumpMind SymmetricDS based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"It is easy to deploy workflows and schedule jobs."
"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."
"The most valuable features are data transformations."
"The most valuable feature is the ease in which you can create an ETL pipeline."
"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."
"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."
"It is fully featured. It has allowed me to do everything I wanted to do."
"The deployment should be easier."
"There is no built-in pipeline exit activity when encountering an error."
"Azure Data Factory's pricing in terms of utilization could be improved."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"One area for improvement is documentation. At present, there isn't enough documentation on how to use Azure Data Factory in certain conditions. It would be good to have documentation on the various use cases."
"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."
"The user interface could improve. We are looking at some cloud-based databases, and I don't think they support that."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while JumpMind SymmetricDS is ranked 13th in Data Replication. Azure Data Factory is rated 8.0, while JumpMind SymmetricDS is rated 9.0. 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 JumpMind SymmetricDS writes "Excellent change data capture utility for distributed multi site environment". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas JumpMind SymmetricDS is most compared with Oracle GoldenGate, AWS Database Migration Service, SSIS, Confluent and FME.
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