Grid Middleware Framework for Science Data Processing, Information Integration and Retrieval


Apache Object Oriented Data Technology (OODT) is the smart way to integrate and archive your processes, your data, and its metadata. OODT allows you to:

  • Generate Data
  • Process Data
  • Manage Your Data
  • Distribute Your Data
  • Analyze Your Data Allowing for the integration of data, computation, visualization and other components.

OODT also allows for remote execution of jobs on scalable computational infrastructures so that computational and data- intensive processing can be integrated into OODT’s data processing pipelines using cloud computing and high-performance computing environments.


Components of OODT

Components of OODT



  • Transparent access to distributed resources
  • Data discovery and query optimization
  • Distributed processing and virtual archives




  • Models for information representation
  • Solutions to knowledge capture problems
  • Unification of technology, data, and metadata



Why OODT?

Traditional processing pipelines are commonly made up of custom UNIX shell scripts and fragile custom written glue code. Apache OODT uses structured XML-based capturing of the processing pipeline that can be understood and modified by non-programmers to create, edit, manage and provision workflow and task execution.

OODT is used on a number of successful projects at NASA's Jet Propulsion Laboratory/California Institute of Technology, and many other research institutions and universities, specifically those part of the:

OODT is a Top Level project of the Apache Software Foundation http://www.apache.org/.

Getting Started

Key Components

Contributing to OODT