Computer
applications built with table-based relational technology are
highly resistant to change. An application’s resistance
to change increases in direct proportion to its age, the amount
of data that it manages/accesses and the complexity of its underlying
data model. This resistance is caused by one thing
-- the use of tables for physical data storage.
It is the reason that COTS applications take so long to install
and that legacy systems are typically years behind the business
model.
Lack of scalability with real-time (R/T) query
is another significant problem associated to storing
data in tables. Table-based data is very difficult
to access when the data is stored in relational form (3NF).
Also, the secondary indices required for complex R/T query typically
are too hard to maintain. As a result, most enterprise applications
of any size are forced to use additional data warehousing
(DWH) applications to support complex R/T query (and, often,
Extract-Transform-Load (ETL) applications to move the information
from the RDBMS that’s handling On-Line Transaction Processing
(OLTP) to the DWH site). This introduces both much higher computing
costs and a lag in critical decision support.
Associative
Solutions Corporation (ASC) offers a new associative memory
DBMS (ADBMS) technology called Relavance™
that does not rely on tables to store information. Among the many advantages
and benefits of Relavance technology
and the associative memory model:
- Limited resistance to change,
which means no frozen requirements baselines and no resistance to COTS
(applications can always conform to the current business model)
- OLTP and R/T complex query
on the same database copy for significantly lower computing costs and
greater currency of decision support information
- Data storage in a highly
compact normal form (NF), which means no update anomalies from replication
- 100% model inversion for
unrestricted query access
- No high-order database
constructs (such as tables or secondary indices) to impede efficiency
of operation
- High scalability at a relatively
low cost
- A uniform binary data representation
(not ASCII) that achieves bitwise compactness (similar to DWH applications)
- A self-tagging technology
that establishes and enforces metadata standards to promote ease of
wide-area interface (a key failing of table-based computing)
- No proximity or sequence
dependency in the base storage format, which means no efficiency degradation
from usage (does not require periodic database reorgs) and a highly
secure native format
The
last point is one of the more revealing aspects of Relavance
computing. If you’ve only used tables to do computing, then you
probably assume that when data is stored close together (e.g., the fields
in a “row”) it is highly related information. Relavance
does not store information in tables. In fact, data that is stored side-by-side
in a Relavance database is most likely
unrelated. In its native state, Relavance
data is indecipherable to anything but the approved application.
Relavance
technology comes two ways:
- as a full function ADBMS
that can replace both the RDBMS
and the DWH application.
- as an Associative
Index System or AIS™ that
performs like an associative lens to focus wide-area interface
between disparate computing environments.
Whether you’re looking
for a new application or R/T decision support across your existing applications,
you owe it to yourself to audition Relavance
technology today.
For
more information, please fill out our contact sheet and download our technical
presentations. You will not be contacted by us and we will not sell or
otherwise disseminate your information to any other entity (see our privacy
policy for details).
Visit the Relavance website at: http://www.relavance.com
|