Hortonworks has announced enhancements to its existing partnership with Google Cloud which further optimise 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 enables customers to achieve faster business insights by leveraging ongoing innovations from the open source community via HDP and HDF on GCP (that’s a bunch of acronyms).
HDP now integrates with Google Cloud Storage, known to offer consistent cloud storage for running big data workloads. Among the benefits of running HDP on GCP include:
HDF on GCP also allows customers to:
With the combination of HDP, HDF and Hortonworks DataPlane Service, Hortonworks can uniquely deliver consistent metadata, security and data governance across hybrid cloud and multi-cloud 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."