JBoss Data Grid gives application developers more flexibility in how
they access, share and process data
RALEIGH, N.C.--(BUSINESS WIRE)--
Red Hat, Inc. (NYSE:RHT), the world's leading provider of open source
solutions, today announced that it is empowering enterprises to
accelerate the performance of applications tied to large data sets,
allowing enterprises to better adapt to the changing nature of business
with the latest version of its in-memory data grid solution, Red
Hat JBoss Data Grid 6.2.
Many IT environments were designed before big data challenges become
common. Today, managing massive data volumes and providing fast data
access, high availability and elastic scalability in applications are
considered to be essential for competitive modern applications. One of
the major factors contributing to poor application performance lies in
the inability of the traditional relational database to access, process,
analyze and integrate data fast enough to meet business needs and
customer expectations.
JBoss Data Grid helps overcome these challenges without requiring
enterprises to invest in new data infrastructure by providing a
complementary layer to the database. Data stored on this layer can be
prioritized by type, access frequency, or other characteristics. With a
data grid, businesses can process data faster and with lower latencies,
removing the burden on traditional databases to provide scalable
performance and meet uptime service level agreements (SLAs).
New features in version 6.2 include:
-
Queries - Queries are a powerful feature that enable users to
easily search and find objects in the data grid based on properties or
metadata without needing to know the assigned key for each object.
-
High throughput file-based cache stores - With two new
file-based cache stores (SingleFileCacheStore and LevelDB-JNI), JBoss
Data Grid offers greater speeds and scalability for high-write
throughput and large data sets.
-
Data interoperability - Data interoperability enables an
application to read data from the grid, without needing knowledge of
how, or by which method, the data was written to the grid. This
interoperability applies across protocols, different languages under
the same protocol, and deployment modes.
-
New Hot Rod clients and security - C++ applications can now
access the data grid via a C++ Hot Rod client. Additionally, new
security features include user authentication and encrypted
communications over Hot Rod.
-
Rolling upgrades for REST - Rolling upgrades over the REST
protocol enable customers to better service their users, simplify
operations and reduce the cost of management when migrating from one
version of JBoss Data Grid to the next.
Availability
Red Hat JBoss Data Grid 6.2 is available
for download now.
Supporting Quotes
Mike Piech, senior director, product marketing, Red Hat JBoss
Middleware
"Enterprise computing moves at a rapid pace, and as new trends and
breakthroughs occur, the landscape shifts to accommodate them. Big data
is a great example of this. We see value in modern middleware like JBoss
Data Grid because it is able to help extend existing investments to
overcome limitations on traditional technologies, fill gaps in
functionality, and improve performance."
Marcia Kaufman, principal analyst and chief operating officer,
Hurwitz & Associates
"One of the major factors contributing to poor application performance
is the inability to access, process, analyze, and integrate data at fast
enough speeds to meet customer and user expectations. By breaking the
model of the traditional scale up architectures that requires
organizations to compensate with heavy technology investments, data grid
offerings like JBoss Data Grid give organizations the flexibility to
adapt to the changing nature of business in a powerful and
cost-efficient way."
Additional Resources
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Red Hat
Daniel Thompson, 978-589-1059
dthompso@redhat.com
Source: Red Hat, Inc.
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