Deloitte has been recognized as a Leader in 2022 Gartner Magic Quadrant for Data and Analytics Service Provider for the eighth year. Show This Gartner Magic Quadrant provides a graphical competitive positioning of four types of technology providers, in markets where growth is high and provider differentiation is distinct. This research helps you to get quickly educated about a market’s competing technology providers and
their ability to deliver on what end users require today and in the future. We believe Deloitte combines industry expertise and deep data and AI capabilities with its ecosystem partners to support complex business and technology transformations for its clients. Deloitte is positioned as a Leader in this Magic Quadrant for the eighth consecutive year since 2014. What you’ll gain from the report:
Gartner: Magic Quadrant for Data and Analytics Service Providers 2022 This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request. 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. Gartner and Magic Quadrant are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. Gartner, Magic Quadrant for
Data and Analytics Service Providers, By Jorgen Heizenberg, Gareth Herschel, Twiggy Lo, Shubhangi Vashisth, Ankush Jain, Published 7 February 2022 Recommendations
Cloud NewsApril 06, 2021, 11:06 AM EDTFrom AWS, Google and Microsoft to IBM, SAS and MathWorks, here are the 20 data science and machine learning platforms leading the global market today.
 The 20 World-Leading Data Science And Machine Learning Platforms The data science and machine learning market is more vibrant than ever before, according to Gartner’s new 2021 Magic Quadrant for Data Science and Machine Learning Platforms. “Movement in this market is rapid and multidirectional,” said the IT research firm in its new report ranking the 20 world-leading companies in the market. “Vendors weave together rapidly evolving proprietary solutions with numerous open-source components and increasingly complex partnership networks.” The global COVID-19 pandemic hasn’t slowed down the rapid pace of data science and machine learning (DSML) innovation or the bullish growth strategies from vendors. Many organizations are starting DSML initiatives using free or low-cost open-source and public cloud offerings to build up their expertise and explore new opportunities. CRN breaks down the 20 market-leading vendors that made Gartner’s 2021 Magic Quadrant for Data Science and Machine Learning Platforms, as well as each company’s weaknesses and strengths in the market according to Gartner.
Mark HaranasMark Haranas is an assistant news editor and longtime journalist now covering cloud, multicloud, software, SaaS and channel partners at CRN. He speaks with world-renown CEOs and IT experts as well as covering breaking news and live events while also managing several CRN reporters. He can be reached at . Today, we’re pleased to announce that Databricks has been named a Leader in the 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms for the second year running. This recognition builds off an already momentous kickstart to the year—including our recent funding round (at a $28B valuation)—and we believe it is a testament to our healthy obsession with building the lakehouse platform: one platform to unify all of your data, analytics, and AI workloads. AI is driving innovation and disruption across every industryWhy are we so excited about this? Industry leaders predict that data science and ML will drive trillions of dollars in value across all industries. In a May 2020 Gartner report: Top 10 Trends in Data and Analytics, 2020, analysts predict that “By the end of 2024, 75% of enterprises will shift from piloting to operationalizing AI, driving 5X increase in streaming data and analytics infrastructures.” Databricks’ ability to execute and completeness of vision has led to our positioning in two Gartner Magic Quadrant reports: November 2020 Gartner Magic Quadrant for Cloud Database Management Systems (DBMS) andMarch 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms. Databricks Lakehouse platform helps data teams solve the world’s toughest problems. Here are just some of the ways customers across industries are leveraging Databricks to level-up their data-driven decision-making and business outcomes:
A Unified Approach for the Full Data and ML LifecycleToday’s data leaders must look at the entire data and machine learning landscape when considering new solutions. The 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms is based on the rigorous evaluation of 20 vendors for their completeness of vision and ability to execute. We believe here are the three strengths of Databricks: Collaborative Platform for the Full ML Lifecycle: Databricks empowers data science and machine learning teams with one unified platform to prepare, process data, train models in a self-service manner and manage the full ML lifecycle from experimentation to production. No matter your background, skill set or favorite tools, Databricks makes it easy to collaborate, access the compute power you need, and keep all data science projects in one place - on a managed, secure, and scalable platform. Open Source Leadership and Rapid Adoption: Open source is in our DNA. We are the original creators of the widely-used data and machine learning open source projects, including MLflow, an open platform to manage the ML lifecycle experimentation: reproducibility, deployment and a central model registry. MLflow is on its way to becoming the defacto standard for managing the ML lifecycle — it currently averages 2.2 million monthly downloads and has over 260 contributions. Multi-cloud Platform: Databricks is built for multi-cloud enterprises, offering a unified data platform on Microsoft Azure, AWS and Alibaba Cloud. Users can do data science and machine learning without having to learn cloud-specific tools and processes. Oh, and don’t just take our word for it. Earlier this month, we raised a $1 billion funding round with the buy-in of the “cloud elite”: Amazon, Google, Microsoft and Salesforce. At Databricks, our ultimate goal is to empower customers to make better, faster use of data with one simple, open platform for analytics, data science, and ML that brings together teams, processes, and technologies. Read the Gartner Magic Quadrant for Data Science and Machine Learning Platforms to learn more. Sources: Gartner, Magic Quadrant for Cloud Database Management Systems, Donald Feinberg | Merv Adrian, | Rick Greenwald | Adam Ronthal | Henry Cook, 23 November 2020 Gartner, Top 10 Trends in Data and Analytics, 2020, Rita Sallam, Svetlana Sicular, Pieter den Hamer, Austin Kronz, W. Roy Schulte, Erick Brethenoux, Alys Woodward, Stephen Emmott, Ehtisham Zaidi, Donald Feinberg, Mark Beyer, Rick Greenwald, Carlie Idoine, Henry Cook, Guido De Simoni, Eric Hunter, Adam,Ronthal, Bettina Tratz-Ryan, Nick Heudecker, Jim Hare, Lydia Clougherty Jones, 11 May 2020 Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications. Which platform is best for data science?Best Platforms to Learn Data Science. Coursera.. Udemy.. Udacity.. Edureka.. DataCamp.. Kaggle.. What is data science Gartner?More precisely, Gartner defines a data science and machine-learning platform as: A cohesive software application that offers a mixture of basic building blocks essential both for creating many kinds of data science solution and incorporating such solutions into business processes, surrounding infrastructure and ...
Why IBM is the Leader in 2021 Magic Quadrant?IBM is named a Leader in the 2021 Gartner® Magic Quadrant™ for Cloud Database Management Systems (DBMS) For the second year in a row, Gartner named IBM a Leader in Gartner Magic Quadrant for 2021 Cloud Database Management Systems based on its Ability to Execute and Completeness of Vision.
Is IBM a Leader in AI?Amidst this era of digital reinvention, IBM lays claim to an impressive streak of AI market leadership. In the latest IDC market share report, IBM was ranked #1 in AI Life-Cycle Software, with the largest 2020 market share at 13.7% and +46.6% y/y based on the most recent data available.
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Gartner magic quadrant for data science & machine learning platforms
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