New Features and Enhancements Significantly Improve
Performance and Scalability for OLTP and Analytics In-Memory
Data Management
Redwood Shores, Calif. - January 12, 2012
Oracle TimesTen In-Memory Database is a full-featured
relational in-memory database designed to run in the
application-tier to provide both rapid transaction response
time and high throughput required by mission-critical
applications.
This latest release incorporates significant performance and
scalability improvements for real-time online transaction
processing (OLTP) applications, and introduces new
functionality to support analytic applications with real-time
in-memory data management.
The new features further enable customers to enhance
application performance and scalability by supporting more
concurrent users, higher volumes of requests, and more
sessions.
Oracle TimesTen In-Memory Database for Exalytics will also be
available for as an application-tier in-memory database
cache. This new release enables Suite to achieve up to 20x
response time improvement for speed-of-thought visualization
and up to 5x more data to be stored in-memory with advanced
columnar compression capabilities.
Delivering Extreme Performance and Scale for Analytic and
OLTP Applications
Customers rely on Oracle TimesTen In-Memory Database to
deliver extremely fast response times to meet the most
stringent service level agreements (SLAs). Leading
organizations across industries such as financial services,
ecommerce and telecommunications, among others, count on
Oracle TimesTen In-Memory Database to help meet consistent
response time, especially during peak workloads.
Oracle TimesTen In-Memory Database is the only in-memory
relational database capable of handling both OLTP and
analytic workloads constrained only by the full amount of
physical memory available, enabling customers and partners to
take advantage of the availability of large RAM capacity in
commodity hardware.
With this new release, customers can:
Increase performance and scalability for real-time OLTP
applications via parallel replication between Oracle TimesTen
In-Memory Database instances, parallel cache data
synchronization with , enhanced data access interfaces for
applications, and improved query processing and optimization
to boost response time and overall throughput;
Use Oracle TimesTen In-Memory Database to support analytic
workloads through new SQL aggregation and analytic functions
as well as optimization for complex query processing; and,
Benefit from improved compatibility with Oracle Database
through support for native large object (LOB) data type
support (BLOB, CLOB).
Supporting Quotes
"In-memory data management is a key enabling technology
for real-time data analysis and decision making.
Organizations need to put in place a strategy for taking
advantage of in-memory technology for both OLTP and analytics
workloads," said Donald Feinberg, vice president
distinguished analyst, Gartner. "Application tier in-memory
data management is an element of that overall solution that
should be carefully considered."
"Oracle Communications Billing and Revenue Management Release
7.5 leverages Oracle TimesTen In-Memory Database 11g Release
2 to achieve substantial performance improvement," said Liam
Maxwell, vice president of Products, Oracle Communications.
"This enables our customers to deliver a differentiated
customer experience with reduced total cost of ownership."
"With today's business moving faster than ever,
organizations demand real-time access to information," said
Marie-Anne Neimat, vice president, Development, Oracle. "For
over a decade Oracle TimesTen In-Memory Database has been
delivering the extreme performance and scalability that
businesses trust to speed their critical transactions. We are
very excited that the new release enhances Oracle
TimesTen's OLTP capabilities and introduces support for
BI and analytic applications thus enabling many new
applications to take advantage of real-time in-memory data
management."
Supporting Resources
free evaluation version of Oracle TimesTen In-Memory
Database. Terms, conditions and restrictions apply.
About Oracle
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Contact Info
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