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.

Join the newsletter!

Or

Sign up to gain exclusive access to email subscriptions, event invitations, competitions, giveaways, and much more.

Membership is free, and your security and privacy remain protected. View our privacy policy before signing up.

Error: Please check your email address.

Tags Google

Keep up with the latest tech news, reviews and previews by subscribing to the Good Gear Guide newsletter.

Katherine Noyes

IDG News Service
Show Comments

Brand Post

Most Popular Reviews

Latest Articles

Resources

PCW Evaluation Team

Tom Pope

Dynabook Portégé X30L-G

Ultimately this laptop has achieved everything I would hope for in a laptop for work, while fitting that into a form factor and weight that is remarkable.

Tom Sellers

MSI P65

This smart laptop was enjoyable to use and great to work on – creating content was super simple.

Lolita Wang

MSI GT76

It really doesn’t get more “gaming laptop” than this.

Jack Jeffries

MSI GS75

As the Maserati or BMW of laptops, it would fit perfectly in the hands of a professional needing firepower under the hood, sophistication and class on the surface, and gaming prowess (sports mode if you will) in between.

Taylor Carr

MSI PS63

The MSI PS63 is an amazing laptop and I would definitely consider buying one in the future.

Christopher Low

Brother RJ-4230B

This small mobile printer is exactly what I need for invoicing and other jobs such as sending fellow tradesman details or step-by-step instructions that I can easily print off from my phone or the Web.

Featured Content

Don’t have an account? Sign up here

Don't have an account? Sign up now

Forgot password?