We performed a comparison between Azure Data Factory and Oracle GoldenGate based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The data mapping and the ability to systematically derive data are nice features. It worked really well for the solution we had. It is visual, and it did the transformation as we wanted."
"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."
"It's extremely consistent."
"The data factory agent is quite good and programming or defining the value of jobs, processes, and activities is easy."
"It is easy to integrate."
"We use the solution to move data from on-premises to the cloud."
"Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft."
"Azure Data Factory became more user-friendly when data-flows were introduced."
"The product is reliable for data integrity."
"I like that the product transforms data and provides real-time applications."
"The initial setup is straightforward. It doesn't take too much time or effort to implement the solution."
"We use the tool to pull on-prem data."
"It scales well. You can either have it working in with the databases, or you can move it outside. It's got the ability to parallelize up, so you can certainly extract and replay the data from your databases in parallel. So it does have horizontal scalability. That is probably one of its stronger features, the ability just to automatically parallelize the replay and playing of data to allow to scale to large volumes."
"It moves the data as you set it up, and it works. I am also very impressed with its stability and scalability. It is not super feature-rich, but the new releases have more functionality. It recently had more native integrations with Oracle Database. If you are using it against an Oracle database, it has a lot more functionality."
"I am impressed with the tool's possibility of integrating different systems in a unified place."
"The solution is useful for data transformation."
"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
"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 uses many resources and has issues with parallel workflows."
"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."
"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."
"The speed and performance need to be improved."
"Data Factory's performance during heavy data processing isn't great."
"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."
"The GoldenGate license is very costly."
"The solution's licensing price is very expensive and could be made more competitive."
"Regarding improvements, the focus should be on addressing data quality issues and minimizing delays, particularly in Oracle databases. The technical support should be improved as well. Additionally, in terms of features, it would be great if the solution could support APIs. The support is not friendly. They don’t respond on time."
"Oracle GoldenGate could improve the price."
"Monitoring must be a bit more enhanced."
"GoldenGate is expensive. It's costly because this solution is unique in our market. The GoldenGate Cloud Service is cheaper than the on-premise solution."
"A clean and user-friendly graphical interface based on common design principles would be beneficial."
"I find the user interface to be difficult for non-technical people."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Oracle GoldenGate is ranked 6th in Data Integration with 47 reviews. Azure Data Factory is rated 8.0, while Oracle GoldenGate is rated 8.2. 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 Oracle GoldenGate writes "Performs real-time replication without data loss, but we cannot do much automation". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and SSIS, whereas Oracle GoldenGate is most compared with AWS Database Migration Service, Qlik Replicate, Quest SharePlex, Oracle Data Integrator (ODI) and IBM InfoSphere DataStage. See our Azure Data Factory vs. Oracle GoldenGate report.
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