We performed a comparison between Mule Anypoint Platform and Spring Cloud Data Flow based on real PeerSpot user reviews.
Find out in this report how the two Business-to-Business Middleware solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature is their integrations and very good API management."
"API management."
"The flexibility has been great overall."
"This is a good platform for designing, flowing out APIs, and then doing API-based integrations."
"It is a stable product...The initial setup was simple."
"It's easy to develop APIs."
"The tool is very capable and offers a high performance. The tool supports batch processing and ETL processing."
"It is very easy to use for building connectors. It comes with a lot of connectors. For example, it has different adapters for NetSuite, which are very easy to use. It also has Salesforce connectors. The object store feature is also really easy to use. Mule Anypoint Platform is also good in terms of performance and how it is managed behind the scenes."
"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 feature is real-time streaming."
"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."
"We would like an entire DevOps in place in this particular solution."
"The solution's pricing model is very strange, and it will be really expensive if you use APIs a lot."
"Code quality, Code Security, SaaS, and DaaS security, can all be improved."
"Adding connectors for new upcoming applications would add extra value to this product."
"It would be better if we had a clearer view of the solution's future releases."
"The platform's data integration tools need improvement on the processing side."
"The solution is very expensive. They need to work on the pricing."
"The terms of use and how it's priced has become very difficult to manage, which is forcing us to look for alternatives already - and we haven't even been using it for that long just yet."
"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."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
Mule Anypoint Platform is ranked 2nd in Business-to-Business Middleware with 40 reviews while Spring Cloud Data Flow is ranked 28th in Data Integration with 5 reviews. Mule Anypoint Platform is rated 8.2, while Spring Cloud Data Flow is rated 8.0. The top reviewer of Mule Anypoint Platform writes "Robust, reliable, and stable, ensuring high availability for critical integrations". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". Mule Anypoint Platform is most compared with MuleSoft Composer, Microsoft Azure Logic Apps, Oracle Integration Cloud Service and SAP Process Orchestration, whereas Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and Confluent. See our Mule Anypoint Platform vs. Spring Cloud Data Flow report.
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