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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.
Distributed key/value store that provides robust, scalable data storage and retrieval. Apache ActiveMQ: Messaging and Integration Patterns server. Apache Avro: Remote procedure call and data serialization framework developed within Apache's Hadoop project. Apache Axis: Implementation of the SOAP (Simple Object Access Protocol) submission to W3C ...
Gremlin is a graph traversal language and virtual machine developed by Apache TinkerPop of the Apache Software Foundation. Gremlin works for both OLTP -based graph databases as well as OLAP -based graph processors.
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 Empire-db is open source and provided under the Apache License 2.0 from the Apache Software Foundation. Compared to Object-relational mapping (ORM) or other data persistence solutions such as Hibernate , iBATIS or TopLink Empire-db does not use XML files or Java annotations to provide a mapping of plain (old) Java object ( POJO 's) to ...
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
In a relational database, a column is a set of data values of a particular type, one value for each row of a table. [1] A column may contain text values, numbers, or even pointers to files in the operating system. [ 2 ]
Apache ORC (Optimized Row Columnar) is a free and open-source column-oriented data storage format. [3] It is similar to the other columnar-storage file formats available in the Hadoop ecosystem such as RCFile and Parquet. It is used by most of the data processing frameworks Apache Spark, Apache Hive, Apache Flink, and Apache Hadoop.