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."The tool's most valuable features are its connectors. It has many out-of-the-box connectors. We use ADF for ETL processes. Our main use case involves integrating data from various databases, processing it, and loading it into the target database. ADF plays a crucial role in orchestrating these ETL workflows."
"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"It's extremely consistent."
"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."
"The most valuable feature is the ease in which you can create an ETL pipeline."
"It is fully featured. It has allowed me to do everything I wanted to do."
"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"Azure Data Factory can improve by having support in the drivers for change data capture."
"The speed and performance need to be improved."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost."
"Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate."
"The number of standard adaptors could be extended further."
"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 IBM InfoSphere DataStage, whereas JumpMind SymmetricDS is most compared with Oracle GoldenGate, AWS Database Migration Service, Confluent, SSIS and Qlik Replicate.
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