Hortonworks currently is a leader in global data management solutions partnered with Google Cloud to enhance Hortonworks Data Platform (HDP) and Hortonworks Dataflow (HDF). It has promised to deliver next-generation data analytics for hybrid and multi-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 innovations.
HDP’s integration with Google Cloud gives us the following features:
- Flexibility for ephemeral workloads: Analytical workloads which are on-demand can be managed within minutes with no add-on cost and at unlimited elastic scale.
- Analytics made faster: Take advantage of Apache Hive and Apache Spark for interactive query, machine learning and analytics.
- Automated cloud provisioning: simplifies the deployment of HDP and HDF in GCP making it easier to configure and secure workloads to make optimal use of cloud resources.
In addition HDF has gone through following enhancements:
- Deploying Hybrid Data architecture: Smooth and secure flow of data from any source which varies from on-premise to cloud.
- Streaming Analytics in Real-time: Build streaming applications with ease, which will capture real-time insights without having to code a single line.
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.
Arun Murthy, Co-Founder & Chief Product Officer, Hortonworks said “ 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. Together with Google Cloud, we offer enterprises an easy path to adopt cloud and, ultimately, a modern data architecture.
Similarly, Google Cloud’s project management director, Sudhir Hasbe, said “ Enterprises want to be able to get smarter about both their business and their customers through advanced analytics and machine learning. 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”