|[March 14, 2017]
MapR Extends Convergence to the IoT Edge
Technologies, Inc., the provider of the first and only converged
data platform, today announced at Strata
+ Hadoop World, MapR Edge, a small footprint edition of the MapR
Converged Data Platform. Addressing the need to capture, process, and
analyze data generated by Internet-of-Things (IoT) devices close to the
Edge provides secure local processing, quick aggregation of insights
on a global basis, and the ability push intelligence back to the edge
for faster and more significant business impact.
"The use cases for IoT continue to grow, and in many situations, the
volume of data generated at the edge requires bandwidth levels that
overwhelm the available resources," said Jason Stamper, analyst, Data
Platforms & Analytics, 451 Research (News - Alert). "MapR is pushing the computation
and analysis of IoT data close to the sources, allowing more efficient
and faster decision-making locally, while also allowing subsets of the
data to be reliably transported to a central analytics deployment."
The new MapR Edge is optimized for data collection, processing,
streaming and analytics at the edge. MapR Edge integrates a globally
distributed elastic data plane that not only supports distributed file
processing but also strongly consistent geo-distributed database
"Our customers have pioneered the use of big data and want to
continuously stay ahead of the competition," said Ted Dunning, chief
application architect, MapR Technologies. "Working in real-time at the
edge presents unique challenges and opportunities to digitally transform
an organization. Our customers want to act locally, but learn globally
and MapR Edge lets them do that more efficiently, reliably, securely,
and with much more impact"
The ability to act locally, learn globally describes how IoT
applications leverage local data from numerous sources in many
locations but often require machine learning or deep learning models
with global knowledge. These models must then be deployed back to the
edge to enable real-time decisions based on local events.
MapR Edge provides several benefits for deploying IoT/edge applications,
Distributed data aggregation: Provides high-speed local
processing, especially useful for location-restricted or sensitive
data such as personally identifiable information (PII), and
consolidates IoT data from edge sites.
Bandwidth (News - Alert)-awareness: Adjusts throughput from the edge to the
cloud and/or data center, even with occasionally-connected
Global data plane: Provides global view of all distributed
clusters in a single namespace simplifying application development and
Converged analytics: Combines operational decision-making with
real-time analysis of data at the edge.
Unified security: End-to-end IoT security provides
authentication, authorization, and access control from the edge to the
central clusters. MapR Edge also delivers secure encryption on the
wire for data communicated between the edge and the main data center.
Standards-Based: MapR Edge adheres to standards including POSIX
and HDFS API for file access, ANSI SQL for querying, Kafka API for
event streams, and HBase and OJAI API for NoSQL database.
Enterprise-grade reliability: Delivers a reliable computing
environment to tolerate multiple hardware failures that can occur in
remote, isolated deployments.
Existing solutions were not designed for seamless, large-scale
distributed global processing. MapR Edge leverages the advanced,
global-distribution and real-time synchronization capabilities of the
patented MapR Converged Data Platform to deliver a end-to-end platform
from the edge to the cloud. Its proven, mission-critical features allow
the delivery of compute power close to the data sources while also
allowing efficient aggregation to one or more centralized clusters for
large-scale analytics and processing on all data.
According to Gartner (News - Alert), "Proliferation of IoT devices and the need for
real-time insights are the greatest drivers of computing at the edge of
the network. Technology strategic planners should extend value
propositions to edge computing and accelerate product portfolios to
address market expectations for edge analytics."*
Specifications and Availability
MapR Edge deployments are
used in conjunction with central analytics and operational clusters
running on the MapR Converged Enterprise Edition. MapR Edge is available
in 3-5 node configurations. The new offering is available immediately.
From Gartner's Market Trends: The Need for Real-Time Insights Offers
Market Opportunities in Edge Computing
Published: 24 February 2017ID: G00322891
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About MapR Technologies
Headquartered in San Jose, Calif.,
MapR provides the industry's only Converged Data Platform that enables
customers to harness the power of big data by combining analytics in
real-time to operational applications to improve business outcomes. With
MapR, enterprises have an unparalleled data management platform for
undertaking digital transformation initiatives to achieve competitive
edge. World-class companies have realized more than five times their
return on investment using MapR. Amazon, Cisco, Google, Microsoft (News - Alert), SAP
and other leading businesses are part of the global MapR partner
ecosystem. For more information, visit www.mapr.com.
View source version on businesswire.com: http://www.businesswire.com/news/home/20170314005391/en/
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