Hortonworks, Inc.® (NASDAQ: HDP), a leading provider of global data management solutions, today announced enhancements to its existing partnership with Google Cloud to 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 leverage new innovations from the open source community via HDP and HDF on GCP for faster business insights.
HDP 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: Leverage Apache Hive and Apache Spark for interactive query, machine learning and data analytics.
● Automated cloud provisioning: Simplifies the deployment of HDP and HDF in GCP, making 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 analytic and IoT workloads at scale with HDP and HDF,” said Arun Murthy, Co-Founder & Chief Product Officer, 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, 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/
HDP 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: Leverage Apache Hive and Apache Spark for interactive query, machine learning and data analytics.
● Automated cloud provisioning: Simplifies the deployment of HDP and HDF in GCP, making 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 analytic and IoT workloads at scale with HDP and HDF,” said Arun Murthy, Co-Founder & Chief Product Officer, 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, 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/
