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."It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"For me, it was that there are dedicated connectors for different targets or sources, different data sources. For example, there is direct connector to Salesforce, Oracle Service Cloud, etcetera, and that was really helpful."
"The most important feature is that it can help you do the multi-threading concepts."
"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."
"The solution is okay."
"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"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 fully featured. It has allowed me to do everything I wanted to do."
"Lacks in-built streaming data processing."
"Some of the optimization techniques are not scalable."
"The product could provide more ways to import and export data."
"This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations."
"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."
"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."
"The pricing scheme is very complex and difficult to understand."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"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 Spring Cloud Data Flow.
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