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Apache Camel is an open source framework for message-oriented middleware with a rule-based routing and mediation engine that provides a Java object-based implementation of the Enterprise Integration Patterns using an application programming interface (or declarative Java domain-specific language) to configure routing and mediation rules.
Apache Camel: Apache Software Foundation: 2.23.3 2018-11-29 Free/Commercial support available Yes Apache Software License: Apache Kafka: Apache Software Foundation: 0.10.20 2017-02 Free / Commercial support available Yes Apache Software License: Apache ServiceMix Apache Software Foundation: 7.0 2017-01 Free / Commercial support available Yes
Apache OODT: Data management system framework Apache Oozie: Server-based workflow scheduling system to manage Hadoop jobs. Apache OpenNLP: Java machine learning toolkit for natural language processing (NLP). Apache PDFBox: Java tool for working with PDF documents. Apache Pig: High-level platform for creating programs that run on Apache Hadoop ...
The pattern language continues to be relevant as of today, for instance in cloud application development and integration, and in the internet of things. In 2015, the two book authors reunited—for the first time since the publication of the book—for a retrospective and interview in IEEE Software. [1]
Calcite: dynamic data management framework; Camel: declarative routing and mediation rules engine which implements the Enterprise Integration Patterns using a Java-based domain specific language; CarbonData: an indexed columnar data format for fast analytics on big data platform, e.g., Apache Hadoop, Apache Spark, etc
Apache CXF is an open source software project developing a Web services framework. It originated as the combination of Celtix developed by IONA Technologies and XFire developed by a team hosted at the now defunct host CodeHaus in 2006. These two projects were combined at the Apache Software Foundation.
CAMEL Phase 1 defined only very basic call control services, but introduced the concept of a CAMEL Basic call state model (BCSM) to the Intelligent Network (IN). Phase 1 gave the gsmSCF the ability to bar calls (release the call prior to connection), allow a call to continue unchanged, or to modify a limited number of call parameters before allowing it to continue.
Apache Flink includes two core APIs: a DataStream API for bounded or unbounded streams of data and a DataSet API for bounded data sets. Flink also offers a Table API, which is a SQL-like expression language for relational stream and batch processing that can be easily embedded in Flink's DataStream and DataSet APIs.