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Apatar Data Mashup Integration

Developer Description:

Apatar is the open source leader in data mashup integration. It is the first company to bring open source data mashups solutions. Apatar performs a wide range of ETL (Extract, Transform, and Load) functions and allows easily join your desktop data with the web. Connectors include: MySQL, PostreSQL, Oracle, MS SQL, Amazon, Compiere, SugarCRM, Oracle, PostgreSQL, XML, CSV and even Flickr. Features include: Visual job designer and mapping enable non-developers to design and perform transformations. Connectors include: MySQL, PostreSQL, Oracle, MS SQL, Amazon, Compiere, SugarCRM, SalesForce.Com, XML, flat files. Single interface to manage integration projects. No coding is required to accomplish even a complex integration. Benefits: Reduce integration cost, Improve data quality, Shorten implementation time, Reduce maintenance costs, Eliminate custom coding. Why Apatar? Unlike most proprietary data integration offerings, Apatar brings a low-cost, on-demand, open source data integration to the masses where users can publish, share and re-use integration mappings over the web. 100% Java, Apatar is multi-platform application with scalable architecture for large deployments. Ideal for integrating on-premise data with the web. Connects major applications and data sources, has connectors for the most popular Web 2.0 APIs such as Flickr, Salesforce.com, Amazon. Visit http://www.apatar.com for more information. Visit blog "Naked Open Source" http://www.apatar.com/blogs/renat for articles on Web 2.0, Enterprise 2.0, Office 2.0, mashups, APIs, mashup building tools, and musings on data integration, open source and the business of software.
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Size:28.71 Mb 
License:Freeware 
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Requirements: 
Install:Install and Uninstall 
language:English 
Publisher:Apatar, Inc.
Released:2007-03-30 
Updated:2007-05-21 
data integration database mashup mashups etl replication migration mysql ms sql oracle postgresql eai eii esb bi dw extract transform load information data quality cleansing de-duplication web 2.0 business intelligence
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