Google has cut prices for its Google Cloud Platform big data offering -- called BigQuery Storage -- by 23 percent. That move -- and several others -- highlighted Google Cloud Platform Live, a one-day conference that seeks to position the search giant more effectively against Amazon Web Services (AWS) and Microsoft Azure.
During the conference, Google made five strategic moves. They included:
1. Price Cuts: Google confirmed reductions on Network egress (47%), BigQuery storage (23%), Persistent Disk Snapshots (79%), Persistent Disk SSD (48%), and Cloud SQL (25%). BigQuery storage is a "RESTful" web service that allows data scientists to analyze massively large datasets working in conjunction with Google Storage.
2. Google Container Engine: This is a service for building and running Docker container-based applications. In theory, Docker containers will allow data scientists and developers to launch applications that are easily moved from one public or private cloud to another.
3. Google Cloud Interconnect: This could be a boon for data-intensive applications, since the interconnect gives Google customers new ways to link to the company's fiber network. VPN capabilities are expected in December 2014.
4. Firebase Mobile Solution: This, in theory, will allow mobile developers to write apps that work more seamlessly with Google's cloud.
5. Updates to Compute Engine & App Engine features: This includes an "Autoscaler" capability (in beta), which "automatically grows and shrinks a fleet of VMs based on metrics our customers define." That could be incredibly valuable for Big Data applications that must scale up or down on demand.
The Google Cloud Platform Live event arrived one week before Amazon's AWS re:invent 2014 conference in Las Vegas. Amazon is expected to showcase a range of Big Data customers at the event. Meanwhile, IBM's cloud is gaining more Big Data and business intelligence applications, IBM said last week.
Overall, many CIOs and data scientists remain wary of cloud security and privacy issues. But some cloud skeptics are becoming believers amid ongoing price cuts coupled with the rapid-fire ability to spin up or down Big Data applications.
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