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Here's Who Made Gartner's 2019 Magic Quadrant For Data Management Solutions For Analytics

These 19 developers of data management solutions for business analysis tasks include established software developers, upstarts and cloud service providers. Here's a look at how they are positioned in the fast-moving big data management industry.

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Leader: Snowflake Computing

Fast-growing Snowflake offers fully managed cloud data warehouse services running on either AWS or Microsoft Azure with a number of advanced capabilities including ACID-compliant relational processing, a native Apache Spark connector, R integration, dynamic elasticity and data-sharing capabilities.

Strengths: Customer references give Snowflake high marks for customer experience, value for money, pricing and contract flexibility, product capabilities and ease of deployment, according to Gartner. Its architecture provides dynamic elasticity for effective scalability and customers praise the service's operational efficiency.

Cautions: Snowflake's services have been available for less than four years and lack some key features. But that list included materialized views, which just recently became available, and stored procedures, which are currently in preview. Gartner notes that the company's hypergrowth creates the challenge of maintaining a high level of customer engagement, particularly in customer training resources and support.

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