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 solution is okay."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"The scalability of the product is impressive."
"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."
"The best part of this product is the extraction, transformation, and load."
"The most valuable feature is the ease in which you can create an ETL pipeline."
"The flexibility that Azure Data Factory offers is great."
"From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature."
"The CDC feature is interesting."
"You can put data together from a few databases into one database or the other way, from one database into several. It transforms data in real-time."
"Since the world is going towards open source, the solution's heterogeneous data migration feature is very useful."
"This is a powerful solution provided by one of the most respected companies in the computer industry."
"The initial setup is straightforward. It doesn't take too much time or effort to implement the solution."
"Data migration is the most valuable feature of Oracle GoldenGate."
"It's very simple to configure, it's very simple to implement. In addition, the ability it has to capture data and transmit it with incredible speed is better than any of the product out there. It's extremely powerful."
"The live application feature is most valuable. The solution is stable. I rate it a seven out of ten."
"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."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"There should be a way that it can do switches, so if at any point in time I want to do some hybrid mode of making any data collections or ingestions, I can just click on a button."
"I have not found any real shortcomings within the product."
"The speed and performance need to be improved."
"I rate Azure Data Factory six out of 10 for stability. ADF is stable now, but we had problems recently with indexing on an SQL database. It's slow when dealing with a huge volume of data. It depends on whether the database is configured as general purpose or hyperscale."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"Real-time replication is required, and this is not a simple task."
"The solution is quite costly, and if they could reduce their pricing, it would be more economical to implement."
"Oracle GoldenGate could improve the price."
"The process of transforming the data between two different databases is inefficient and needs to be improved."
"The main problem of Oracle GoldenGate is that sometimes, the processes get abended. Data consistency is also challenging."
"The GoldenGate license is very costly."
"IBM CDC has one central control while Oracle GoldenGate has two controls. In IBM CDC we can do all things in frontend. The solution needs to incorporate a feature where we can connect it to a standby database."
"Lacks the ability to become a full-scale ETL tool."
"The product lacks some features and it's expensive."
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 Talend Open Studio, 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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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.
