Enhance your Mule Community Edition (Kernel)

Fully Clustered - Mule High Availability

Coordinate multiple instances and form a cluster in a simple and transparent way, without affecting your current developments.

• Cluster-wide concurrency control. Control concurrent processes in a simple way when scaling the system, both horizontally and vertically: lock, semaphore and CountDownLatch.

• Distributed data structures. Share data between applications and scale processes transparently using distributed and concurrency-ready high-level data structures.

• Distributed data sources. Distribute data through the whole cluster and balance the workload.

• Distributed scopes. Optimize and enrich your processes with advanced operations like transaction and cache scopes.

Fault Tolerance

Harnesses the capabilities of the distributed persistence of data.

Distributed VM Connectors

Distributes queues and optimizes load balance.

Cluster-enabled task scheduling

Safely runs scheduled jobs, cluster-wide.

Distributed Batch Processing

Design batch processes whose performance will scale horizontally as the workload is distributed to the chosen cluster nodes.

High-Performance Message Exchange

• 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...

High-Performance Data Ingestion

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.

Distributed data queries

Use well-known languages - standard SQL and Lucene text query - to access data within your cluster.

Distributed file system

Complete distributed file system API.

OData Connector

Integrate your Mule applications with Open Data services (OData).

TransferWise Connector

Integrate your Mule applications with TransferWise services.

SAP Connector

Integrate your Mule applications with SAP ERP Central Component (ECC).