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Why Google Cloud’s Data Analytics Tops The Competition: Debanjan Saha

‘We have been in the business of organizing the world‘s information for a very long time,’ said Debanjan Saha, vice president and general manager of data analytics at Google Cloud. ‘Data is in our DNA, and that’s what drives Google.’

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A Google Cloud Partner’s Take

SADA Systems sees Google Cloud’s data analytics standing out among cloud providers every day, according to Miles Ward, chief technology officer for the Los Angeles-based Google Cloud Premier Partner that’s earned a data analytics specialization.

“The majority of my business in data analytics is re-platforming companies that have done some amount of data and analytics deployment on another public cloud and gotten frustrated and end up migrating to GCP’s more integrated, more direct, lower-cost, higher-performance stack,” Ward said.

That work accounts for a third of SADA’s professional services revenue, he said.

“Google’s been working on exabytes for a really long time, because that’s how big any of the analytics are about any of its products that serve billions of users,” Ward said. “No other environment has had to do the data work that Google does internally at anywhere near that size. And if you’re going to serve most of the products to customers for free, you have to be able to do that analytics not only quickly and huge, but cheap. By turning all of those tools loose with outside customers, you end up in this scenario where they earn access to a sitting set of capabilities that were designed for where they’re going to be in a couple of years, not where they already are. And the result…is BigQuery costs a lot less, and the queries get done in seconds, not in days, and there’s no operational work, because it’s completely managed on the Google side.”

And making its services available for multi-cloud work is an important partner of Google Cloud’s strategy that differentiates it from other cloud providers, according to Ward, who cited BigQuery Omni.

“There’s a whole ecosystem of products being built under this Omni brand,” Ward said. “You can run BigQuery in Amazon (Web Services). You can federate queries from data that’s in Amazon and Google, and you just pay Google the same way you would pay as if it was normal BigQuery only running on the Google side. That ability to meet more customers where they are -- and make it so that they can do this stuff without having to ship their data around and create these big logistical nightmares -- is another big differentiator.”


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