Hortonworks Data Platform and Hortonworks DataFlow Further
Optimized for Google Cloud Platform for Big Data Analytics and
Streaming Workloads
SAN JOSE, California,
June 18, 2018 /PRNewswire/
-- DATAWORKS SUMMIT -- Hortonworks, Inc.® (NASDAQ:
HDP), a leading provider of global data management solutions, today
announced enhancements to its existing partnership with Google
Cloud. These enhancements further optimize Hortonworks Data
Platform (HDP) and Hortonworks DataFlow (HDF) for Google Cloud
Platform (GCP) to deliver next-gen big data analytics for hybrid
cloud deployments. This partnership will enable customers to
achieve faster business insights by leveraging ongoing innovations
from the open source community via HDP and HDF on GCP.
HDP now integrates with Google Cloud Storage, which offers
consistent cloud storage for running big data workloads. With HDP
on GCP, customers get:
- Flexibility and agility for ephemeral workloads:
On-demand analytics workloads can be spun up in minutes with no
up-front cost and unlimited elastic scale.
- Fast analytics at scale: Apache Hive and Apache Spark
can be leveraged for interactive query, machine learning and data
analytics.
- Automated cloud provisioning: Simplified deployments of
HDP and HDF in GCP makes it even easier for customers to configure
and secure workloads for the cloud while optimizing the use of
cloud resources.
In addition, HDF on GCP allows customers to:
- Deploy a hybrid data architecture: Easily and securely
move any data flow from any source between on-premises and GCP
deployments.
- Get real-time streaming analytics: Build streaming
applications in minutes to capture perishable insights in real time
without writing a single line of code.
With the combination of HDP, HDF and Hortonworks DataPlane
Service, Hortonworks can uniquely deliver consistent metadata,
security and data governance across hybrid cloud and multicloud
architectures.
"Partnering with Google Cloud lets our joint customers take
advantage of the scalability, flexibility and agility of the cloud
when running analytics and IoT workloads at scale with HDP and
HDF," said Arun Murthy, co-founder
and chief product officer of Hortonworks. "Together with Google
Cloud, we offer enterprises an easy path to adopt cloud and,
ultimately, a modern data architecture."
"Enterprises want to be able to get smarter about both their
business and their customers through advanced analytics and machine
learning," said Sudhir Hasbe, director of product management for
Google Cloud. "Our partnership with Hortonworks will give customers
the ability to quickly run data analytics, machine learning and
streaming analytics workloads in GCP while enabling a bridge to
hybrid or cloud-native data architectures."
Resources
- For more information about Hortonworks cloud solutions, please
visit: https://hortonworks.com/products/data-platforms/cloud/
- Learn more about Google's big data solutions, including HDP and
HDF, here: https://cloud.google.com/solutions/
About Hortonworks
Hortonworks is a leading provider of
enterprise-grade, global data management platforms, services and
solutions that deliver actionable intelligence from any type of
data for over half of the Fortune 100. Hortonworks is committed to
driving innovation in open source communities, providing unique
value to enterprise customers. Along with its partners, Hortonworks
provides technology, expertise and support so that enterprise
customers can adopt a modern data architecture. For more
information, visit www.hortonworks.com.
Hortonworks and HDP are registered trademarks or trademarks of
Hortonworks, Inc. and its subsidiaries in the United States and other jurisdictions. For
more information, please visit www.hortonworks.com. All other
trademarks are the property of their respective owners.
Media contact
Michelle Lazzar
comms@hortonworks.com
(408) 884-9861
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