Data Integration Framework

A lightweight, browsing-based, 100% Python, federated data integration framework. Users may create custom schemas for disparate sources, query and expand results across sources to find related data; for use in fields such as bioinformatics and datamining Platforms: Windows, Mac, Linux

An extension package to Pentaho Data Integration, providing plug-ins. Steps/job entries can be downloaded independently and each comes with source code in the .zip file. All are licensed as LGPL or GPL. Platforms: Windows, Mac, Linux

JBind is a data binding framework linking Java and XML. The framework consists of a schema compiler for generating Java sources and a runtime environment. JBind supports most of the W3C XML schema recommendation of 2 May 2001. Platforms: Windows, Mac, Linux

The first pure play provider of open source data integration software, Talend offers open, innovative and powerful data integration solutions, used primarily for integration between operational systems, ETL, and migration by organizations of all sizes. Platforms: Windows, Mac, Linux

Adeptia is UNIQUE because it enables automation of not just system-to-system (straight thru) data flows but also the more common human-to-system or system-to-human business processes where business users need to interact with running data flows to view information, correct errors and resubmit... Platforms: Windows, Mac, Unix, Linux, Linux Console, Linux Gnome, Linux GPL, Linux Open Source, Java

DIMVisual stands for Data Integration Model for Visualization. The implementation allows the integration of information to the analysis of parallel application behavior. If you have an parallel application with low performance and want to find out what is the problem you can use this project to... Platforms: *nix

JDPF, short for Java Data Processing Framework was created to help you in the definition, generation and execution of standard and custom data processing. JDPF has been designed to be modular and extendable. You can use JDPF for defining your own data analysis procedure reusing already... Platforms: Windows

SFrame is a C++ framework built around the ROOT libraries for analysing particle physics data. It gives a very high performance for processing data, by allowing the user to run his/her code on a distributed farm of machines. Platforms: Mac, BSD, Linux

Modular toolkit for Data Processing (MDP) is a Python data processing framework. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA),... Platforms: Windows, Mac, *nix, Python, BSD Solaris

jHepWork is a full-featured multiplatform data-analysis framework written in JAVA.. Platforms: *nix

Ebase Xi is a new generation IDE that combines user interface creation, data integration, and business process management into a single-technology RAD platform. The platform offers unprecedented speed, agility and power, including a jQuery library and Rich Client framework for developing mobile... Platforms: Windows

The Modular toolkit for Data Processing (MDP) is a Python data processing framework. From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex... Platforms: Windows, Mac, Linux

Framework for text mining, data integration and data analysis. Keywords: ontology and graph alignment, relation mining, warehouse, semantic database integration, bioinformatics, systems biology, microarray, Java. Platforms: Windows, Mac, Linux

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. Platforms: Windows, Mac, Linux

QXchange is a profile based ETL application that can integrate data between MS Access, text and excel. It facilitates moving of data from multiple sources and loading it into required database. Users of QXchange are endued with easy mapping .It comprises of simple drag and drop option... Platforms: Windows

Bundle::DataMint is a bundle to install external CPAN modules for Data Mining and Data Integration. SYNOPSIS Perl one liner using CPAN.pm: perl -MCPAN -e install Bundle::DataMint Use of CPAN.pm in interactive mode: $> perl -MCPAN -e shell cpan> install Bundle::DataMint cpan> quit... Platforms: *nix

iBATIS project provides a very simple and flexible means of moving data between your Java and .NET objects and a relationaldatabase. Use the full power of real SQL without a single line of JDBC or ADO.NET code! The Data Mapper framework (a.k.a. SQL Maps) will help to significantly reduce the... Platforms: *nix

SingletDAO was developed as a simple and Open Source Java data access framework to access data in a database. A Single Data Access Object to access data in database and eliminates writing custom DAOs. SingletDAO is easy to plug-in, makes it easy to manage SQL queries and supports JSON. Platforms: Windows

Apatar is an open source Extract, Transform, and Load (ETL) project. Modular architecture delivers 1. Visual job designer/mapping 2. Connectivity to all major data sources 3. Flexible Deployment Options (GUI, or server engine with JVM, or embedded). Platforms: Windows, Mac, Linux

CloverETL is a high performance data integration platform that enables you to move data between different locations. Data can be extracted from any number of sources, validated and modified along the way, then written to one or more destinations. More on CloverETL ??a* a* Platforms: *nix