Menu
Google promises a Hadoop or Spark cluster in 90 seconds with Cloud Dataproc

Google promises a Hadoop or Spark cluster in 90 seconds with Cloud Dataproc

Minute-by-minute billing is another key piece of this new managed service

Getting insights out of big data is typically neither quick nor easy, but Google is aiming to change all that with a new, managed service for Hadoop and Spark.

Cloud Dataproc, which the search giant launched into open beta on Wednesday, is a new piece of its big data portfolio that's designed to help companies create clusters quickly, manage them easily and turn them off when they're not needed.

Enterprises often struggle with getting the most out of rapidly evolving big data technology, said Holger Mueller, a vice president and principal analyst with Constellation Research.

"It's often not easy for the average enterprise to install and operate," he said. When two open source products need to be combined, "things can get even more complex."

An easy way to implement and operate Hadoop and Spark clusters could be of significant value for enterprises, he added. For Google, meanwhile, Cloud Dataproc will ultimately mean more load, utilization and customers, which creates better economies of scale, Mueller noted.

Cloud Dataproc offers a number of advantages over both traditional, on-premises products and competing cloud services, Google said.

Whereas creating Spark and Hadoop clusters on-premises or through Infrastructure-as-a-Service (IaaS) providers can take anywhere from five to 30 minutes, for instance, Cloud Dataproc clusters take 90 seconds or less on average to start, and the same amount of time to scale or shut down. That, in turn, can mean users have more time to spend working with their data.

"When you do self-managed deployment, either on-premises or in the cloud, you're effectively paying in your own time for your clusters," said Greg DeMichillie, director of product management for the Google Cloud Platform. "What Cloud Dataproc allows you to do is shorten the window of time between when you ask a question and when you get insight."

Pricing is 1 cent per virtual CPU in each cluster per hour, and Cloud Dataproc clusters can include pre-emptible instances that have still lower compute prices, thereby reducing costs further. Whereas many providers round up usage to the nearest hour, Cloud Dataproc uses minute-by-minute billing and a 10-minute-minimum billing period.

Cloud Dataproc also offers built-in integration with Google Cloud Platform services such as BigQuery, Cloud Storage, Cloud Bigtable, Cloud Logging and Cloud Monitoring. Companies can use it to extract, transform and load terabytes of raw log data directly into BigQuery for business reporting, for example.

Because the service is managed, companies can use Spark and Hadoop clusters without the assistance of an administrator or special software, Google said. Rather, they can interact with clusters and Spark or Hadoop jobs through the Google Developers Console, the Google Cloud SDK or the Cloud Dataproc REST API; when they're done with a cluster, they can turn it off and avoid spending money needlessly.

The current implementation of Cloud Dataproc features clusters based on Spark 1.5 and Hadoop 2.7.1.

Follow Us

Join the New Zealand Reseller News newsletter!

Error: Please check your email address.

Tags Google

Slideshows

IN PICTURES: Ingram Micro Innovation hits Auckland with Hewlett Packard Enterprise

IN PICTURES: Ingram Micro Innovation hits Auckland with Hewlett Packard Enterprise

Ingram Micro completed its nationwide roadshow in Auckland last month, kicking off its Innovation Hour series with Hewlett Packard Enterprise. Uncovering the latest in storage, networking and servers, the event outlined key market trends for resellers in 2016 and beyond.

IN PICTURES: Ingram Micro Innovation hits Auckland with Hewlett Packard Enterprise
IN PICTURES: FireEye celebrates channel at 2016 Partner Conference

IN PICTURES: FireEye celebrates channel at 2016 Partner Conference

FireEye welcomed 143 channel partners and distributors to FireEye's 2016 annual Partner Conference, FireEye A/NZ Momentum - held at Establishment in Sydney. Delegates heard from senior trans-Tasman channel leaders, marketing and the product divisions in the morning, with FireEye customers, incident responders and threat intelligence analysts sharing knowledge during the afternoon.

IN PICTURES: FireEye celebrates channel at 2016 Partner Conference
​IN PICTURES: Disruption in the data centre - Can the Kiwi channel capitalise?​

​IN PICTURES: Disruption in the data centre - Can the Kiwi channel capitalise?​

With New Zealand businesses now open to innovation, the industry sits on the cusp of significant disruption in the data centre. Driven by software-defined networking, the future of the data centre is fast becoming reality, as the channel seeks to keep up, keep innovating and keep growing. APC by Schneider Electric, Lenovo and key partners outlined how the channel can capitalise at The Grill restaurant in Auckland.

​IN PICTURES: Disruption in the data centre - Can the Kiwi channel capitalise?​
Show Comments