We would like to keep you up to date with the latest news from MSP Channel Insights by sending you push notifications.
Digital Newsletter
Each week our editor Phil Alsop rounds up the most popular articles, videos and expert opinions. We compile this into a Digital Newsletter and send it straight to your inbox every week.
Digital Magazines
We'll let you know each time a new edition of MSP Channel Insights is released so that you're always kept up-to-date with the latest and greatest news and press releases.
Video Magazines
The MSP Channel Insights Video magazine contains the latest Zoom interviews with experts in the industry.
? 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.”
Hortonworks has also renewed and extended its long standing relationship with Microsoft to give enterprise customers greater agility and flexibility when moving big data workloads to the cloud. The collaboration now gives customers more choice as to where their analytic and Internet of Things data workloads run. Customers can deploy Hortonworks Data Platform (HDP), Hortonworks DataFlow (HDF) and Hortonworks DataPlane Service (DPS) products natively on Microsoft Azure infrastructure as a service (IaaS) to extract value from data of all types. Additionally, customers can also use Microsoft Azure HDInsight, a fully managed service powered by Hortonworks Data Platform which delivers Apache Hadoop and Apache Spark.
According to IDC1, “IT buyers are shifting steadily toward cloud-first strategies” therefore customers need a simple, fast and flexible path to run data workloads in the cloud to accelerate the ability to uncover new business insights. Hortonworks’ global data management platforms enable organizations to rapidly deploy modern data applications across hybrid data architectures on premises, in the cloud and out to the edge. When combined with the global scale and agility of Azure, Hortonworks enables organizations to manage the entire lifecycle of their data with cloud infrastructure.
Hortonworks and Microsoft have been pioneering cloud solutions together for over six years through a strategic collaboration spanning joint engineering and go-to-market motions, giving customers the most flexible big data environments. Hortonworks and Microsoft continue to invest and collaborate in the open source community which ultimately reduces vendor lock in for customers. Whether the customer wants to adopt a hybrid data architecture or go all in on cloud, they have choices with Hortonworks and Microsoft teaming together on Azure IaaS and HDInsight deployments.
“Our customers are increasingly adopting a hybrid data architecture as cloud deployments offer excellent use cases for ephemeral analytic workloads,” said Rob Bearden, chief executive officer, Hortonworks. “With the option to deploy HDP, HDF or DPS workloads on Azure IaaS, or use HDInsight, customers can take whichever path to the cloud that fits their business needs best. We are proud of our work with Microsoft and the cloud solutions we’ve developed together that are driving tremendous value for our joint customers.”
“We are giving customers the most choice as to how they move data workloads to the cloud, on Azure or Microsoft HDInsight for an enterprise-grade managed service that makes it easier for end users,” said Rohan Kumar, Corporate Vice President, Azure Data. “We look forward to continuing our collaboration with Hortonworks to accelerate innovation in the cloud.”
