Open Source Java Data Integration Tools for Mac

Pentaho Data Integration uses the Maven framework. Project distribution archive is produced under the assemblies module. Core implementation, database dialog, user interface, PDI engine, PDI engine extensions, PDI core plugins, and integration tests. Maven, version 3+, and Java JDK 1.8 are requisites. Use of the Pentaho checkstyle format (via mvn checkstyle:check and reviewing the report) and developing working Unit Tests helps to ensure that pull requests for bugs and improvements are processed quickly. In addition to the unit tests, there are integration tests that test cross-module operation.

Create services to integrate applications & move data of any type. Build data views across DBMS, SOAP, HTTP/REST, Salesforce, SAP, Microsoft, SharePoint, Text, LDAP, FTP sources to read, write & transfer data. Eclipse designer & run-time engine.

Allows you to write per API to AR-System Server (BMC Remedy Action Request System). Includes two step output, one step input and one database plugin. The step plugins need the database plugin.

Imagine being able to extract from your Enterprise Content Management System, all the metadata of your documents using simple queries with a query language very close to the traditional SQL. Imagine using the information extracted for statistical purposes, for creating reports and, more generally, to analyse your document archives in a way unthinkable until now with the current tools available. All this is possible within the Pentaho Suite, the Open Source Business Intelligence platform, which is useful to the extraction and analysis of structured and semi-structured data. With this goal (the extraction and analysis of data) has been designed and developed the CMIS Input plugin for Pentaho Data Integration (Kettle) that allows querying Content Management Systems that use the CMIS interoperability standard. The data, once extracted, can be stored and analyzed and perhaps presented in customized reports be published in various formats for the end user (PDF, Excel, etc..).

ChunJun is a distributed integration framework, and currently is based on Apache Flink. It was initially known as FlinkX and renamed ChunJun on February 22, 2022. It can realize data synchronization and calculation between various heterogeneous data sources. ChunJun has been deployed and running stably in thousands of companies so far. Based on the real-time computing engine--Flink, and supports JSON template and SQL script configuration tasks. The SQL script is compatible with Flink SQL syntax. Supports a variety of heterogeneous data sources, and supports synchronization and calculation of more than 20 data sources such as MySQL, Oracle, SQLServer, Hive, Kudu, etc. Easy to expand, highly flexible, newly expanded data source plugins can integrate with existing data source plugins instantly, plugin developers do not need to care about the code logic of other plugins.

The Fluxion framework is a prototype data integration system using Semantic Web technologies.

Open source Application and Data Integration Platform that allows developers and end-users to integrate and transform information using a web-based drag-and-drop interface that doesn't require coding or programming skills.

Metl is a simple, web-based ETL tool that allows for data integrations including database, files, messaging, and web services. Supports RDBMS, SOAP, HTTP, FTP, SFTP, XML, FIXLEN, CSV, JSON, ZIP, and more. Metl implements scheduled integration tasks without the need for custom coding or heavy infrastructure. It can be deployed in the cloud or in an internal data center, and it was built to allow developers to extend it with custom components.

Pentaho Data Integration plugin to supply a function to resolve, and insert if it doesn't exist, the date dimension. It calculates all calendar data and you must supply the table info used to save the information.

This plugin supply a method to join two tables using the date-from and date-to history. It use the two dates that indicate the life of the record and join using a query (like the database join plugin) to resolve the record's story of the two entities.

The objective of this project is to enable seamless integration between webMethods and the jasper intelligence suite. It will allow pixel perfect reporting solutions with complex data integration requirements to be developed in minutes.