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."It's easy to develop APIs."
"The platform's cloud integration capabilities are good."
"The API toolkit is the solution's most valuable aspect at this time, for our organization."
"Overall, it is a pretty good product. It is also very scalable."
"The community manager is the standout feature of the Mule Anypoint Platform, as it provides a platform to showcase your API to external parties. It is exceptionally user-friendly and enables external parties to easily utilize and consume the APIs."
"API management."
"The ability to define multi-tiered APIs and reuse them is a fantastic platform feature."
"It is a stable product...The initial setup was simple."
"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."
"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."
"Adding connectors for new upcoming applications would add extra value to this product."
"Mule Anypoint Platform is complex for beginners. Users without programming skills will find it complex. It should also improve its pricing."
"There is not much information on the internet...The transforming message is an area in the solution that needs to be improved."
"The solution's pricing model is very strange, and it will be really expensive if you use APIs a lot."
"The inclusion of GenAI in the tool can be good since it is an area that is currently unavailable in the solution."
"The runtime management and connectors could use some work and are vulnerable to breakage after upgrades."
"MuleSoft's release calendar is rather conventional with two major, two minor releases and hotfixes in between. The competition sometimes offer more rapid release cycles and provides improved and new functionality with a faster time-to-market."
"It has different types of subscriptions. For platinum or lower subscriptions, there are not too many things that can be done. We don't see many features. They should release a basic version that has logging and monitoring features. These features should come with Mule Anypoint Platform for free instead of making customers pay separately for these features. Its dashboard can be improved to have a lot of charts so that it is easy to visualize information. The utilization part can be improved. The dashboard is good currently, but it can be better. Other solutions like Elastic have a good dashboard, and they allow you to administer the product from the UI. Currently, for RTF, there is a different dashboard or utility. It would be good to include the same utility in the cloud solution. It would be good if there is a centralized repository that includes the links to the information about various troubleshooting issues. The documentation is there currently, and it is good, but the troubleshooting information is too scattered. We have to go to different links to find troubleshooting information. This kind of centralized repository would be helpful for new customers who are implementing this solution. It will be helpful to see different kinds of issues that can occur."
"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."
"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."
Mule Anypoint Platform is ranked 2nd in Business-to-Business Middleware with 41 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.
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.