According to IDC, the size of the digital universe will grow 40% year-over-year for the next five years, driven by the digital revolutions—including smart devices, Internet of Things, and video streaming. Analyzing and making sense of all of this data quickly and at a reasonable cost is a common challenge. But with its near-infinite, on-demand resources and scalability at low prices, the cloud is a natural match for storing and analyzing data.
At Google, we’ve built our business around data analytics since the very early days of indexing and searching the entirety of the internet. Google Cloud Platform is the externalization of the same infrastructure that runs all of Google’s businesses—providing an industry-standard secure, stable and battle-tested cloud to run your data-intensive workloads.
Hadoop is one of the major technologies in big data storage and processing. Google and Hadoop go way back: Google’s original research papers on the Google File System and MapReduce laid the foundation for the Hadoop and big-data revolution in 2003.
Cloudera is also inextricably linked with Hadoop, as the first company to provide an enterprise Hadoop distribution back in 2008. Today, Cloudera Enterprise is powered by the world’s most popular commercial Hadoop distribution, and makes Hadoop fast, easy, and secure – no matter the deployment environment.
Building on our existing partnership, Google and Cloudera are pleased to offer support for Google Cloud Platform to Cloudera Enterprise through Cloudera Director.
Users are now able to easily deploy and manage Cloudera’s platform on Google Cloud Platform by using Cloudera Director to provision cloud resources and manage the lifecycle of Hadoop deployments. Additionally, Cloudera’s comprehensive Hadoop-based platform is now certified on Google Cloud Platform to help you run scalable and high-performing Hadoop clusters, with the security, governance and administration for production deployment.
Users of Cloudera Enterprise on Google Cloud Platform will benefit from fast VM boot times, high-performance compute, storage, and networking, as well as Google’s commitment to Moore’s Law pricing and automatic sustained-use discounts without pre-paid lock-in. You can estimate the cost of Hadoop clusters on Google Cloud Platform with the TCO calculator.
Get started by deploying Cloudera Director on Google Cloud Platform (with a Reference Architecture also available) and put the combination of Cloudera’s Hadoop expertise and Google’s innovation in infrastructure to work on your big data workloads!
Posted by Vinithra Varadharajan, Engineering Manager at Cloudera and Matt Duftler, Software Engineer at Google
 Total Data Warehousing, 2013-2018: Analytic Database and Hadoop Market Sizing and Forecasts. Analyst: Matt Aslett