We performed a comparison between Oracle Integration Cloud Service and Spring Cloud Data Flow based on real PeerSpot user reviews.
Find out in this report how the two Integration Platform as a Service (iPaaS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature is the ease of customization."
"The dashboard provided by Oracle Integration Cloud for monitoring and error handling is very intuitive."
"Provides various ways to secure services as well as providing extensive support."
"It is a scalable solution."
"The initial setup of Oracle Integration Cloud Service was easy."
"The most valuable features of this solution are the SFTP adapters, file adapters, and risk adapters, that we use in everyday projects."
"Oracle Integration Cloud Service integrates well and is user-friendly. If you are not a developer or ops engineer you can still use the solution with ease. You do not need to have developers' knowledge, you can easily adapt and learn quickly to integrate the services. They have good documentation."
"Technical support responds quickly."
"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."
"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 product is very user-friendly."
"There is a payload size limit and we're unable to integrate some legacy applications."
"The bulk processing needs improvement."
"Sometimes, the tech support is slow to get back to us. We have had to wait up to two weeks for a response."
"While most of the adapters are available through Oracle Integration Cloud Services, they do not have a lot of features. I would like to see some enrichment in this area and for the solution to go deeper into the applications and upgrade the adapters."
"Our client was quite concerned about the cost, which is something that could be reduced."
"Oracle Integration Cloud Service can improve file handling. Currently, our real-time file polling limitation is 10 MB, if that size can be increased it would be helpful. For example, increasing the size from 10 MB to 1 GB."
"Oracle-based automation blueprints for the majority of the integrations would be helpful to have in a future release."
"Now the platform is not built in a way that you can define."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"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."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
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Oracle Integration Cloud Service is ranked 3rd in Integration Platform as a Service (iPaaS) with 32 reviews while Spring Cloud Data Flow is ranked 30th in Data Integration with 5 reviews. Oracle Integration Cloud Service is rated 8.0, while Spring Cloud Data Flow is rated 8.0. The top reviewer of Oracle Integration Cloud Service writes "An integration tool that is highly compatible and easy to maintain". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Good logging mechanisms, a strong infrastructure and pretty scalable". Oracle Integration Cloud Service is most compared with Oracle Data Integrator (ODI), Mule Anypoint Platform, AWS Glue, 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 Mule Anypoint Platform. See our Oracle Integration Cloud Service vs. Spring Cloud Data Flow report.
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