MapR Technologies, Inc.,
the provider of the first and only converged data platform, today
announced that it has been granted a patent (US9,207,930) from the
United States Patent and Trademark Office. The awarded patent recognizes
the companys fundamental innovation in data architecture that enables
real-time and mission-critical application deployments at scale. The
patented MapR Platform eliminates data silos through the convergence of
open source, enterprise storage, NoSQL, and event streams with
unparalleled performance, data protection, disaster recovery, and
multi-tenancy features.
"The
patent details the highly differentiated capabilities of our platform
which give us an ongoing technology advantage in the big data market.
Some of the most demanding enterprises in the world are solving their
business challenges using MapR, said Anil Gadre, senior vice president
product management, MapR Technologies. "This is also a great example of
how foundational innovation can be combined with open source to enable
customers to gain a competitive advantage from the power of a converged
data platform."
The key components of the patent claims include:
-
An
architecture based on data structures called containers that
safeguards against data loss with optimized replication techniques and
tolerance for multiple node failures in a cluster
-
Transactional read-write-update semantics with cluster-wide consistency
-
Recovery
techniques which reconcile the divergence of replicated data after node
failure, even while transactional updates are continuously being added
-
Update techniques that allow extreme performance and scale while supporting familiar APIs
Leveraging
these inventions, the MapR Converged Data Platform delivers a core
architecture for data-centric businesses along these four key areas:
Innovating with open source
A differentiated core with standard APIs drives greater value from
the many available Apache projects. Advanced technologies allow greater
scale and performance while compliance with community-driven open APIs
such as industry standard POSIX, NFS, LDAP, ODBC, REST, and Kerberos
allows all of the key open source big data systems to work with existing
systems.
Foundation for converged analytics
A platform that enables multiple workloads in a single cluster lets
customers run continuous analytics on both data at rest and data in
motion without the delay due to moving data to a task-specific cluster.
Having a single cluster that can handle converged workloads is also
easier to manage and secure.
Enterprise-grade reliability in one platform
Built-in high availability, disaster recovery, data recovery, and
security features let customers run big data apps leveraging Hadoop,
Spark and other open source projects in a business-critical, 24x7
environment that must never lose data.
Real-time, continuous data processing
Full read-write capabilities, low administration, automated
optimizations, and immediate access to data all enable an end-to-end
real-time environment that lets analysts continuously leverage data for
gaining critical business insights.
Testing
big data in development environments is dramatically different from
deploying it into production. Adding to a growing IP portfolio, this
patent demonstrates the MapR commitment to helping customers maintain
SLAs through reliability and disaster recovery. The MapR Converged Data
Platform ensures production success with an architecture designed
specifically for business-critical applications, seamless data access
and integration, and the ability to run both operational and analytical
processing and applications reliably on one platform.