Google named a Leader in the 2020 Magic Quadrant for Cloud Database Management Systems

The first-ever Gartner Magic Quadrant for Cloud Database Management Systems (DBMS) is here—and we are thrilled that Google is named a Leader. 

Google has rapidly grown to become a major player in both databases and analytics, and is positioned among the furthest three vendors on the completeness-of-vision axis. In the new Cloud DBMS Magic Quadrant, one of the products evaluated is BigQuery, our enterprise cloud data warehouse that we believe automatically scales to fit your needs—large or small—and has helped many customers start getting insights into their business, without having to manage infrastructure. We’ve worked with enterprises like Etsy, HSBC, MLB, Snapchat, and Wayfair to help them get more value out of their data, faster. 

We’re thrilled that industry analysts recognize our vision and leadership across operational and analytical data technologies, citing our multi-cloud and hybrid cloud promise, flexible pricing with financial governance capabilities, and broad partner ecosystem. 

Our vision for modern data analytics includes augmented analytics, like BigQuery ML, which lets data analysts and scientists build and deploy ML models right inside BigQuery. It also includes real-time streaming analytics, which is essential for any business today. We also think that data insights should be available to everyone, even those without deep technical expertise. We help democratize data across organizations, with capabilities like the new Data QnA for queries anywhere. We’ve also been working toward the convergence of data warehouses and data lakes, breaking down data silos.   

We built our entire data platform to be open, intelligent, and flexible—and we believe that vision helps businesses build a data-driven culture. A business user can use Sheets to analyze data without SQL expertise, a data analyst can operationalize ML with a few lines of SQL, and a data scientist can use Dataproc Hub’s notebook environment to build ML models on data stored in BigQuery. Underneath the hood, none of the data has to be moved—it can be queried right where it is. The analysts have also recognized our data platform for its multi-cloud functionality across Looker and the new BigQuery Omni and strong partner ecosystem—offering lots of options for your projects.

At Google, we’ve been building tools to process and analyze large data sets and we’ve brought that same technology to you. As companies around the world strive for digital transformation, it’s an honor to be able to support new ideas, new technologies, and new goals with our data platform. 

We want to work with you to accelerate your digital transformation journey, and enable you to innovate and get more value from your data.  

One such initiative is our reference pattern work. These are designed to offer step-by-step guidance for common analytics use cases. Which do you find most useful? Which ones should we build for you? In previous articles I’ve shared examples for building anomaly detection and product recommendation systems. Let us know where you’d like to take YOUR data!

Keep reading: Gartner 2020 Magic Quadrant for Cloud Database Management Systems

Gartner, Magic Quadrant for Cloud Database Management Systems, November 23, 2020, Donald Feinberg, Adam Ronthal, Merv Adrian, Henry Cook, Rick Greenwald

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