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 SOFTWARE’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.
