We performed a comparison between Oracle GoldenGate and Spring Cloud Data Flow based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."One feature that stands out for me is the data center capability."
"The most valuable features of Oracle GoldenGate are the schema application and performance."
"Many of the features of Oracle GoldenGate are valuable. We use Oracle databases and this tool is from Oracle, making it have superior compatibility."
"The live application feature is most valuable. The solution is stable. I rate it a seven out of ten."
"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."
"They've recently improved the ease of implementation."
"Data migration is the most valuable feature of Oracle GoldenGate."
"It is a scalable solution."
"The most valuable features of Spring Cloud Data Flow are the simple programming model, integration, dependency Injection, and ability to do any injection. Additionally, auto-configuration is another important feature because we don't have to configure the database and or set up the boilerplate in the database in every project. The composability is good, we can create small workloads and compose them in any way we like."
"There are a lot of options in Spring Cloud. It's flexible in terms of how we can use it. It's a full infrastructure."
"The product is very user-friendly."
"The most valuable feature is real-time streaming."
"Lacks the ability to become a full-scale ETL tool."
"In some cases, expectations were not met, especially when specific tables were expected to be disabled, and changes were anticipated in the target environment. We had to take backups from the source and refresh the address to address this."
"We struggle with memory. It's limited. However, it may be because of our unique business case and how we use it that it's limiting for us."
"It should be easier to integrate this solution with non-Oracle databases, including cloud-based solutions hosted on Azure."
"The front-end management isn't very good."
"The solution is quite costly, and if they could reduce their pricing, it would be more economical to implement."
"Additional performance metrics should be added and visible in a dashboard, displayed in a detailed manner."
"The problem with GoldenGate is it is very complex to use. You need heavyweight skills to use it."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"Spring Cloud Data Flow could improve the user interface. We can drag and drop in the application for the configuration and settings, and deploy it right from the UI, without having to run a CI/CD pipeline. However, that does not work with Kubernetes, it only works when we are working with jars as the Spring Cloud Data Flow applications."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
Oracle GoldenGate is ranked 6th in Data Integration with 47 reviews while Spring Cloud Data Flow is ranked 29th in Data Integration with 5 reviews. Oracle GoldenGate is rated 8.2, while Spring Cloud Data Flow is rated 8.0. The top reviewer of Oracle GoldenGate writes "Performs real-time replication without data loss, but we cannot do much automation". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". Oracle GoldenGate is most compared with AWS Database Migration Service, Qlik Replicate, Quest SharePlex, Azure Data Factory and Oracle Data Integrator (ODI), whereas Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and TIBCO BusinessWorks.
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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.
