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12/11/2015
03:36 PM
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Google's Cloud SQL Update Promises More Flexibility, Faster Speed

Google says that the latest version of its Cloud SQL is more than seven times faster, and can scale better, than the previous generation.

Google's Pixel C: Hands-On Review
Google's Pixel C: Hands-On Review
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Google on Thursday introduced its second-generation Cloud SQL service for Google Cloud Platform customers, promising better pricing and performance.

Cloud SQL provides managed MySQL databases, among the most popular relational databases in use today. As a managed service, Google maintains customer databases with patches and updates, backs up and replicates data, and ensures availability through automatic failover.

Google launched Cloud SQL in 2011 to complement App Engine, its platform-as-a-service offering. Since then, Google's cloud business has matured, and Cloud SQL has also become available in conjunction with infrastructure-as-a-service offerings like Compute Engine.

"Second generation Cloud SQL is more than seven times faster than the first generation of Cloud SQL," said Brett Hesterberg, product manager for Google Cloud Platform in a blog post. "And it scales to 10TB of data, 15,000 IOPS and 104GB of RAM per instance -- well beyond the first generation."

Hesterberg said that while relational databases aren't typically associated with flexibility, Google aims to change that perception by making Cloud SQL easy to scale, to start and stop, and to access with other tools. While App Engine can only connect to first generation Cloud SQL, Hesterberg said that will change soon.

(Image: Google)

(Image: Google)

To help customers integrate and expand its services, Google has partnered with a variety of third-party vendors, including Attunity, Bime, Dbvisit, Looker, Pythian, ScaleArc, Tableau, Talend, WebYog, xPlenty, and YellowFin.

To encourage use of its Cloud Platform, Google is offering a $300 Cloud Platform credit. Google needs to do so because it continues to lag behind Amazon Web Services and Microsoft Azure. During the quarter that ended in June, AWS revenue (~$1.82 billion) was about four times Microsoft Azure revenue (~$400 million), according to Bloomberg. Meanwhile, The Information has estimated Google's cloud revenue for all of 2015 will reach $400 million.

[Read Google For Work Now Boasts Gmail Data Loss Prevention.]

Competition in the infrastructure-as-a-service business has been fierce, and while Google (along with IBM) continues to try to gain marketshare, other companies have faltered. Dell, HP, and RackSpace have all retreated from the public cloud.

Also on Thursday, Google, with support from over 30 industry researchers, released PerfKit Benchmarker (PKB), an open source cloud benchmarking tool that can analyze the performance of cloud services at nine different providers, on local computers, or in data centers.

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Thomas Claburn has been writing about business and technology since 1996, for publications such as New Architect, PC Computing, InformationWeek, Salon, Wired, and Ziff Davis Smart Business. Before that, he worked in film and television, having earned a not particularly useful ... View Full Bio

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RishabhSoft
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RishabhSoft,
User Rank: Strategist
12/18/2015 | 5:43:36 AM
Google Cloud Platform Boosted
Google's second version of the Cloud SQL service builds on the overall improvements they have made to its Cloud Platform. While the speed has been enhanced, developers can use the flexibility to handle additional data.
Li Tan
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Li Tan,
User Rank: Ninja
12/13/2015 | 10:27:57 PM
More data is needed
It's an exicting news in today's cloud computing and big data world. The next step is putting it to actual use and gather more production data - Google may do more improvements based on the data gathered.
Multicloud Infrastructure & Application Management
Multicloud Infrastructure & Application Management
Enterprise cloud adoption has evolved to the point where hybrid public/private cloud designs and use of multiple providers is common. Who among us has mastered provisioning resources in different clouds; allocating the right resources to each application; assigning applications to the "best" cloud provider based on performance or reliability requirements.
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