We performed a comparison between Oracle GoldenGate Cloud Service and Spring Cloud Data Flow based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration."Scalability-wise, I rate the solution a ten out of ten."
"GoldenGate's best features are the desktop security features."
"GoldenGate can aggregate various data types from different sources."
"This has significantly eased the process of migration from on-premise to cloud. Instead of configuring everything from the ground up, the Oracle GoldenGate Cloud Service has made it seamless to build and render databases in cloud."
"The product is very user-friendly."
"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."
"The most valuable feature is real-time streaming."
"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."
"More technical documentation is needed, especially in terms of mapping and conversion of data, while integration would also be very helpful."
"Oracle is always adding new features. I can't think of anything that's urgent currently."
"The initial setup was a little complex, and we required support from Oracle to complete it."
"Oracle GoldenGate Cloud Service lacks AI. If AI gets introduced in Oracle GoldenGate Cloud Service, it would be much easier to do analysis."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"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."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
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Oracle GoldenGate Cloud Service is ranked 19th in Cloud Data Integration with 4 reviews while Spring Cloud Data Flow is ranked 29th in Data Integration with 5 reviews. Oracle GoldenGate Cloud Service is rated 8.8, while Spring Cloud Data Flow is rated 8.0. The top reviewer of Oracle GoldenGate Cloud Service writes "A cost-effective and easy-to-use tool that needs to introduce AI features". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". Oracle GoldenGate Cloud Service is most compared with AWS Database Migration Service, Confluent, Oracle GoldenGate and Azure Data Factory, whereas Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and TIBCO BusinessWorks.
We monitor all Cloud 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.
