Published by Gbaf News
Posted on June 19, 2018
Hortonworks Data Platform and Hortonworks DataFlow Further Optimized for Google Cloud Platform for Big Data Analytics and Streaming Workloads
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.”
Hortonworks Data Platform and Hortonworks DataFlow Further Optimized for Google Cloud Platform for Big Data Analytics and Streaming Workloads
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.”
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