Categories: EAIESB

How to choose the right Open Source Integration Framework – Apache Camel (JBoss, Talend), Spring Integration (Pivotal) or Mule ESB? – JavaOne 2013

Slides from my talk “How to choose the right Integration Framework” at JavaOne 2013, San Francisco, are online.

Abstract

Data exchanges between companies increase a lot. The number of applications which must be integrated increases, too. The interfaces use different technologies, protocols and data formats. Nevertheless, the integration of these applications shall be modeled in a standardized way, realized efficiently and supported by automatic tests.

Three integration frameworks are available in the JVM environment, which fulfil these requirements: Apache Camel, Spring Integration and Mule. They implement the well-known Enteprise Integration Patterns (EIP) and therefore offers a standardized, domain-specific language to integrate applications.

These Integration Frameworks can be used in almost every integration project within the JVM environment – no matter  which technologies, transport protocols or data formats are used. All integration projects can be realized in a consistent way without redundant boilerplate code.

This session shows and compares the three alternatives and discusses their pros and cons. Besides, a recommendation will be given when to use a more powerful Enterprise Service Bus (ESB) instead of one of these frameworks.

Slides

Click on the button to load the content from www.slideshare.net.

Load content

Kai Waehner

bridging the gap between technical innovation and business value for real-time data streaming, processing and analytics

Recent Posts

Shift Left Architecture for AI and Analytics with Confluent and Databricks

Confluent and Databricks enable a modern data architecture that unifies real-time streaming and lakehouse analytics.…

4 hours ago

Confluent Data Streaming Platform vs. Databricks Data Intelligence Platform for Data Integration and Processing

This blog explores how Confluent and Databricks address data integration and processing in modern architectures.…

4 days ago

The Past, Present, and Future of Confluent (The Kafka Company) and Databricks (The Spark Company)

Confluent and Databricks have redefined modern data architectures, growing beyond their Kafka and Spark roots.…

1 week ago

Real-Time Data Sharing in the Telco Industry for MVNO Growth and Beyond with Data Streaming

The telecommunications industry is transforming rapidly as Telcos expand partnerships with MVNOs, IoT platforms, and…

1 week ago

Fraud Detection in Mobility Services (Ride-Hailing, Food Delivery) with Data Streaming using Apache Kafka and Flink

Mobility services like Uber, Grab, and FREE NOW (Lyft) rely on real-time data to power…

2 weeks ago

Virta’s Electric Vehicle (EV) Charging Platform with Real-Time Data Streaming: Scalability for Large Charging Businesses

The rise of Electric Vehicles (EVs) demands a scalable, efficient charging network—but challenges like fluctuating…

2 weeks ago