DATA VIRTUALIZATION / INTEGRATION
Composite Software's Data Virtualization Platform includes
high-performance query middleware and complementary offerings that
integrate data from multiple, disparate sources - anywhere across
the extended enterprise - in a unified, logically virtualized manner
for on-demand consumption by a wide range of front-end business
solutions.
Large enterprises and government agencies face similar challenges
including: 1)Constant business change necessitating rapid IT
response; 2)Growing data volumes and complexity that increase risk
and reduce agility; and 3)Financial constraints necessitating more
cost-effective IT solutions. Traditional data integration approaches
such as consolidation and replication alone are unable to keep pace.
Seeking greater agility, lower costs, and less risk, organizations
increasingly rely on Composite to meet their most critical
information needs across a range of data virtualization usage
patterns.

COMPOSITE SOFWARE'S VALUE PROPOSITION
Business and IT Agility: Beat competitors by
responding faster to new and rapidly changing information demands.
Cost Savings: Save staff and infrastructure
resources from the start. Compound these savings over time.
Risk Reduction: Increase project success via rapid
development and quick iterations.
SOLVING TODAY'S CHALLENGES
The Composite Software Data Virtualization Platform addresses
enterprise-scale data integration challenges while avoiding
the higher costs and longer lead-times associated with data
consolidation and replication.
Query Optimization: Up-to-the-minute data is a key
business requirement. Composite’s industry-leading, high-performance
query optimization algorithms and techniques deliver the timely data
required by consuming solutions on demand, without impacting source
system performance.
Incomplete Information: Data frequently needs to be
combined with other data to provide insight. Composite’s data
federation virtually combines multiple sources, both inside and
outside the firewall, without the cost and overhead of physical
consolidation.
Source & Consumer Disparity: Data is diverse, with
source structures and consumer needs rarely a match. Composite’s
data abstraction transforms raw data from its native structure and
syntax into high-quality views and data services. Semantically
meaningful, standards-compliant and reusable, these objects are easy
for solutions developers to understand and for solutions to consume.
Complexity: In large enterprises, data is often
difficult to identify and understand. Composite’s data discovery
automates entity and relationship identification and accelerates
data modeling to overcome data complexity.
Multiple Physical Locations: Data is hard to reach,
residing in multiple repositories and locations. Composite’s data
accesssecurely exposes required data, making it available from a
single virtual location, regardless of where it is physically
stored.
Security, Quality & Governance: Data is a critical
asset that must be governed. The Composite Data Virtualization
Platform fully implements authentication, authorization, encryption
and quality policies and standards to ensure maximum control.

