Google Cloud Platform leverages Google’s cloud expertise

By William Smith
As the operator of a search engine, video sharing platform and email service, among many other things, Google has built itself on the success of its int...

As the operator of a search engine, video sharing platform and email service, among many other things, Google has built itself on the success of its internal cloud systems.

But Google also offers its cloud expertise to enterprise in the form of its Google Cloud Platform. With services such as data management, hybrid and multi-cloud, AI and machine learning. The company pushes the ability to work with existing enterprise systems such as SAP, VMware, Windows and Oracle without compromising security thanks to the detection of malware and other threats.

Data analysis is another focus, with data warehousing as well as analytics driven by AI and machine learning.

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Customers include the likes of Spotify, Twitter, Toyota and Target, while coverage is worldwide, with 23 cloud regions and 70 zones.

Back in February, Google acquired big data firm Looker, integrating its offering into its own cloud systems. The $2.6bn cash deal, which was first announced in June 2019, signified Google’s ambition to catch up with rival cloud firms such as AWS and Microsoft Azure in terms of clout. 

The big data business intelligence firm already featured connections with Google’s Cloud Platform and other competing offerings, allowing Google access to a wider market. Comparing quarterly results released by the companies, Google’s Q4 cloud business revenue reached $2.6bn, while Microsoft’s Q2 cloud revenue was $11.9bn.

At the time, Thomas Kurian, the CEO of Google Cloud, said in a blog post: “Google Cloud and Looker share a common philosophy around delivering open solutions and supporting customers wherever they are—be it on Google Cloud, in other public clouds, or on premises. As more organizations adopt a multi-cloud strategy, Looker customers and partners can expect continued support of all cloud data management systems like Amazon Redshift, Azure SQL, Snowflake, Oracle, Microsoft SQL Server and Teradata.”

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