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Table of contents:

Building High-perfomance Object Oriented Databases

• The Problem
• High ingest rates
• High delete/archival rates
• Complex relationships
• Flexibility
• Performance Optimization
• Very Large Cardinalities
• A Solution
• Persistence
• The Hierarchical Solution
• The Relational Solution
• An Object-oriented approach to persistence
• Query/Retrieval
• Query by Attribute
• Query by Traversal
• Cache
• Concurrency
• Schema Control and Data Migration
• Transactions (Commit / Rollback)
• Single, Consistent View of Data
• A Practical Example
• Logical Schema
• Message Class
• Attachments and Relationships
• Sender, Recipients, CC Lists and Addresses
• Physical Data Placement
• Using Databases and Containers for Fast Archival and Deletes
• Using Databases and Containers for Fast Queries
• Using Databases, Containers and Range Lists for Parallel Queries
• Hardware Architecture Design and Sizing
• Objectivity/DB Terminology

OBJECT ORIENTED DATABASES

Object Oriented Database technology at the top. As the only true federated Object Oriented Database - Objectivity/DB unique distributed design allows for the massive scalability and zero-defects, mission-critical, super-computing performance required by global Data-Fusion, Multi-Intelligence, Bioinformatics, and Complex Industrial applications.

Objectivity/DB is a high performance database engine far superior to relational database management systems because it is an Object Oriented Database software library linked to the application program rather than a separate data server process. By removing the mapping layer required by all relational databases to interpret data the Object Oriented Database dramatically enhances throughput, capacity, and scalability. Objectivity/DB federated Object Oriented Database provides real time management for applications rich in complex inter-related data analysis and display.

While an Object Oriented Database is clearly more advantageous for highly complex data management requirements Objectivity/DB federated Object Oriented Database raises the bar exponentially with future forward performance capabilities and features such as parallel query engines, certified grid computing interoperability, dynamic containers, schema evolution and persistent data replication across federations of objects.