Snowflake Named a Leader in Gartner Magic Quadrant for Data Management Solutions for Analytics
Snowflake improved its position on the ability to execute and completeness of vision axes in the Magic Quadrant compared to the previous year
SAN MATEO, Calif., Jan. 23, 2019 /PRNewswire/ -- Snowflake Computing, the data warehouse built for the cloud today announced that Snowflake has been positioned as a Leader in Gartner's 2019 Magic Quadrant for Data Management Solutions for Analytics report*.
Snowflake's zero-management, cloud-built data warehouse equips today's organizations with unique and powerful features to get all the insight from all their data by all their users. These features include Secure Data Sharing (without moving or copying data), instant elasticity, per-second pricing, and the ability to deploy on multiple clouds. Snowflake expects these and other product attributes to continue to enable modern data management, data warehousing and data analytics.
According to Gartner, "The Leaders quadrant includes a mix of traditional large vendors that have, in general, adapted to the changing market conditions which continue to drive the DMSA market. All of them have a cloud strategy, and all of them have a vision that allows them to address the broader DMSA market beyond traditional data warehousing. Notably, each vendor in the Leaders quadrant has a credible, well-developed strategy for addressing all four defined DMSA use cases, as well as breadth of coverage as defined in Gartner's DAIM. Within the Leaders quadrant, there is a significant spread of scores in both vision and execution. This reflects different strengths for each vendor regarding where they are focusing their effort and attention. In most cases, the perennial Leaders have capitalized on the "foundational core" strengths, while simultaneously addressing new market demands for innovative pricing models, new deployment models such as cloud, and an increased scope that includes a modern DMSA platform. New entrants to the Leaders quadrant this year exhibit a strong vision, as well as success in executing within this market — as reflected in their customer growth, retention and market mind share."
Rob Smoot, Snowflake VP of Product Marketing, believes Gartner's findings align with Snowflake's mission to enable every organization to be data-driven. The features that enable and expand Snowflake's active customer base, which has more than tripled in 2018, are all unique attributes of its cloud-built architecture. Those features combine the flexibility of big data platforms and the instant and infinite elasticity of the cloud, all at a fraction of the cost of other solutions. At the same time, Snowflake harnesses the power of traditional data warehousing with its SQL-based solution. This preserves the tools, knowledge and processes organizations have relied on for years.
"We're pleased Gartner has recognized Snowflake's completeness of our vision and our ability to execute," Mr. Smoot said. "Today, the demand for data-based insights is omnipresent. The Data Economy is growing and organizations want a solution to easily and securely load, integrate, analyze and share all of their data. We believe this report reaffirms our commitment to put customers first."
Gartner's report evaluated 19 vendors based on their ability to execute and the completeness of their vision for its Magic Quadrant for Data Management Solutions for Analytics. Gartner's ability to execute axis comprised seven evaluation criteria: product or service, overall viability, sales execution/pricing, market responsiveness/record, marketing execution, customer experience, and operations. The other axis, completeness of vision, comprised eight criteria: market understanding, marketing strategy, sales strategy, offering (product) strategy, business model, vertical/industry strategy, innovation, and geographic strategy.
Published in August 2018, Gartner also released a Peer Insights "Voice of the Customer" report, which recognized vendors rated by their customers. The survey used specific measurement criteria such as overall customer rating, as well as overall rating of product capabilities, overall rating evaluation and contract negotiation with the vendor, overall rating of integration and deployment, and overall rating of service and support. In August, and now again in early 2019 after acquiring additional customer reviews, Snowflake has an overall rating of 4.7/5 for the Data Management Solutions for Analytics market based on 72 ratings (as of 22 January 2019).
The 2019 Magic Quadrant for Data Management Solutions for Analytics report is available complimentary from Snowflake here.
*Gartner "Magic Quadrant for Data Management Solutions for Analytics" by Adam M. Ronthal, Roxane Edjlali, Rick Greenwald. January 21, 2019.
*Gartner, "Gartner Peer Insights 'Voice of the Customer': Data Management Solutions for Analytics Market," Peer Contributors. August 6, 2018.
Gartner Disclaimers
Gartner Peer Insights reviews constitute the subjective opinions of individual end users based on their own experiences, and do not represent the views of Gartner or its affiliates.
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, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
About Snowflake Computing
Snowflake is the data warehouse built for the cloud. Snowflake enables the data-driven enterprise with instant elasticity, secure data sharing and per-second pricing. Snowflake combines the power of data warehousing, the flexibility of big data platforms and the elasticity of the cloud at a fraction of the cost of traditional solutions. Snowflake: Your data, no limits. Find out more at snowflake.com.
SOURCE Snowflake Computing
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