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."Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."
"We haven't had any issues connecting it to other products."
"The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."
"Azure Data Factory became more user-friendly when data-flows were introduced."
"The security of the agent that is installed on-premises is very good."
"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"Powerful but easy-to-use and intuitive."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"It is fully featured. It has allowed me to do everything I wanted to do."
"They require more detailed error reporting, data normalization tools, easier connectivity to other services, more data services, and greater compatibility with other commonly used schemas."
"Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features."
"The initial setup is not very straightforward."
"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."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"Some known bugs and issues with Azure Data Factory could be rectified."
"The user interface could use improvement. It's not a major issue but it's something that can be improved."
"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.
We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
