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Table of contents:

Object Oriented Database vs Relational Database

• Introduction
• The Wall: Where an RDBMS breaks down
• Programming Time and Cost
• Integrity Loss
• Performance
• Information Model Issues
• Architecture Issues
• Benchmark
• Benchmark Parameters
• Benchmark Execution
• Parts Creation
• Updates
• Deletes
• Selects
• Summary
• Examples
• Cimskil (Manufacturing)
• Exxon (Configuration and FEA)
• CERN (Data Gathering and Analysis)
• Decision•ism (Decision Supportware)
• QUALCOMM (Telecommunications)
• COM21 (Cable Modem)
• Nortel, Sprint (Cell Phone Base Station Management)
• Nousoft (Library Document Management, Web)
• Iridium (Telecommunications)
• BBN (Military Logistics and Control)
• Intraspect (Knowledge Management)
• Fisher-Rosemount (Manufacturing, Process Control)
• A Brief Overview of Our Development
• ODB Selection
• Introduction
• Performance
• Scalability
• Productivity
• Fault Tolerance
• Additional Features and Benefits
• Summary
• Kintetsu (Transportation, Logistics)
• Siemens (Process Control)
• SEH (Semiconductor Manufacturing)
• NEC (Semiconductor Manufacturing)
• American Meter (Process Control)
• Sloan Digital Sky Survey (Geographic Information System)
• LMS (Healthcare, Fetal Monitoring)
• Synthesis (Healthcare, Record Management)
• Daikin (Multi-Media CD-I Authoring)
• How to Avoid the Wall

Object Oriented Database vs Relational Database

Decision•ism
(Decision Supportware)

Decision•ism, Inc., of Boulder, CO develops and markets data mart management software that gathers and transforms data from various sources such as operational systems, source applications and data warehouses, into focused OLAP data marts that support decision-making by business professionals. Decision•ism selected Objectivity/DB for its flagship product, Aclue Decision Supportware, because of its speed, flexibility, and transparency.

Aclue delivers on-line analytical processing (OLAP) data mart management. Aclue helps organizations gather, cleanse, transform and aggregate data from one or more production applications and/or data warehouses. Aclue then exports this data into smaller, focused data marts that suit the specific needs of individuals or groups of users. Aclue exports directly into Arbor Software's Essbase or Oracle's Express-multidimensional OLAP cubes.

Based on a central Business Information Model, Aclue serves as an information broker and ensures consistent and synchronized data delivery to multiple data marts via a "read-once, write-many" architecture. Objectivity/DB is used as the staging area to hold both the business information model (metadata) as well as the imported data. Cubes are then exported from the data collected in Objectivity/DB. Objectivity/DB's inherent support for the efficient storage and rapid, flexible manipulation of multi-dimensional data makes it a critical underlying technology within Aclue.