Harnesses the capabilities of the distributed persistence of data.
Safely runs scheduled jobs, cluster-wide.
Designs batch processes whose performance will scale horizontally as the workload is distributed to the chosen cluster nodes.
Communication between different Mule versions. A great help when migrating from Mule's version 3 to version 4.
Communication between applications implemented in different languages. Python, Node, PHP, .Net, Java...
Design your own data ingestion processes following a simple interface inside your Mule applications, and seamlessly integrate them into your system to achieve real-time data processing.
Use well-known languages - standard SQL and Lucene text query - to access data within your cluster.
Complete distributed file system API.
Integrate your Mule applications with Open Data services (OData).
Integrate your Mule applications with TransferWise services.
Integrate your Mule applications with SAP ERP Central Component (ECC).