We performed a comparison between SAP Process Orchestration and Spring Cloud Data Flow based on real PeerSpot user reviews.
Find out what your peers are saying about SAP, MuleSoft, IBM and others in Business-to-Business Middleware."It is a scalable solution."
"The most valuable features of SAP Process Orchestration are its system monitoring and alerts."
"SAP Process Orchestration has all the features that are necessary."
"The monitoring tools are the most valuable feature."
"The monitoring is one of the greatest features in Process Orchestration because it is user-friendly and easy for somebody who is not experienced."
"The solution provides very good and central logging systems. It offers high flexibility with vertical and horizontal extend capacity."
"The initial setup was straightforward."
"The solution is stable."
"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."
"The most valuable feature is real-time streaming."
"Its administration management feature needs to be simpler to use."
"In terms of technical support, it would be helpful if they handled the tickets a bit faster when queries are sent to them."
"It is not a scalable solution for the cloud. I would not recommend this for the cloud."
"The monitoring governance offered by SAP is too technical and needs to be geared more toward business users."
"The cloud capability features need improvement."
"The solution needs to move to the cloud."
"It is scalable, but there can be performance issues with high data volume or traffic, especially during month ends."
"The usability is an area where it can be improved upon."
"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."
"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."
SAP Process Orchestration is ranked 1st in Business-to-Business Middleware with 28 reviews while Spring Cloud Data Flow is ranked 29th in Data Integration with 5 reviews. SAP Process Orchestration is rated 8.2, while Spring Cloud Data Flow is rated 8.0. The top reviewer of SAP Process Orchestration writes "A tool that can be useful for small integrations and large integrations". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". SAP Process Orchestration is most compared with Mule Anypoint Platform, SAP Data Services, webMethods Integration Server, IBM Sterling B2B Integration Services and IBM B2B Integrator, 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 Business-to-Business Middleware 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.
