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Google is named a leader in the 2018 Gartner Infrastructure as a Service Magic Quadrant

May 29, 2018
Paul Nash

Group Product Manager, Compute Engine

We’re pleased to announce that Gartner recently named Google as a Leader in the 2018 Gartner Infrastructure as a Service Magic Quadrant (report available here).

With an increasing number of enterprises turning to the cloud to build and scale their businesses, research from organizations like Gartner can help you evaluate and compare cloud providers.

We believe being recognized by Gartner as one of the three leading cloud providers demonstrates our commitment to building innovative technology that helps customers run their businesses at scale. It also highlights our goal to help customers transform their businesses through open source and deep investments in analytics and machine learning.

Here are a few takeaways from the report:

A solid compute foundation
Gartner identifies our core IaaS and PaaS capabilities as a strength, and noted that we’re increasingly offering a number of innovative capabilities. From custom machine types and sustained use discounts, to the next generation of cloud-native containerized development and operations through tools like Kubernetes and Istio, we work hard to deliver a cloud that can run your most demanding applications.

Our investments in analytics and ML
The report recognizes the investments we’ve made in advanced analytics and machine learning. Our Google Cloud AI team has been making good progress towards this goal. In 2017, we introduced Cloud Machine Learning Engine, to help developers with machine learning expertise easily build ML models that work on any type of data, of any size. We showed how modern machine learning services, i.e., APIs—including Vision, Speech, NLP, Translation, and Dialogflow—could be built upon pre-trained models to bring scale and speed to business applications. Kaggle, our community of data scientists and ML researchers, has grown to more than one million members. And today, more than 10,000 businesses are using Google Cloud AI services, including companies like Kewpie, and Ocado. Recently introduced Cloud AutoML to help businesses with limited ML expertise start building their own high-quality custom models.

Our commitment to openness
Our strong grounding in the open source ecosystem, with an emphasis on portability, was highlighted in the report. Our goal is to help more organizations take advantage of cloud services, which means offering the tools to build, scale, and quickly move to the cloud. Our dedication to portability and open source gives you the flexibility to build on your own terms.

Sharing our best practices with customers
Our Customer Reliability Engineering (CRE) program is an approach that can help customers succeed while running their operations on Google Cloud Platform (GCP). We built CRE to provide a shared operational fate between you and Google, giving you more control over the critical applications you’ve entrusted with us.

Google Cloud continues to be adopted by enterprises who are looking to achieve greater availability, scalability, and security in the cloud. Gartner’s IaaS Magic Quadrant is now the sixth report from a leading analyst firm that has identified Google Cloud as a Leader. You can download a complimentary copy of the Gartner Cloud Infrastructure as a Service Magic Quadrant report on our website (requires an email address).

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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