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Data Analytics Applications

Easily power applications with data insights from multiple data sources

At an increasing rate, organizations across many industries are creating and applying innovative data analytics applications for everything from improving internal, operational processes and to providing exceptional customer experiences. Applications such as live clickstream analytics to improve a company’s website performance, customer analytics that better target promotional activities based on personal preferences, and distribution of healthcare services based on demographics and geographical region, all depend on timely and reliable analytics. 

However, traditional data warehouses and big data analytics platform approaches struggle with seamlessly combining data from multiple sources. Complexity and inflexibility create obstacles that add difficulty, cost, and delay to the development, deployment of data-driven apps, or the platforms introduce processing times that inhibit low-latency, interactive analytics that data-driven apps require. 

Snowflake is the ideal data warehouse and analytic engine to power next-generation data applications. Snowflake’s cloud data warehouse not only relieves data warehouse managers from the burden of deploying and managing infrastructure, Snowflake also can scale painlessly as usage or as concurrency grows. 

  • Zero management

    Build your applications with a data warehouse that eliminates the need to manage infrastructure, tuning and availability so you can focus on building and deploying applications to leverage true data insight.

  • On-the-fly scaling

    Scale up, down or out automatically and without disruption. Handle any scale of data, workload and concurrency your applications and customers need, while paying only for what you use.

  • Consistently great performance

    Snowflake makes it possible to provide real-time analytics insight. Its unique architecture and automatic optimization can load and process data at any time without degrading performance.

Fast Track to Analytics

Snowflake’s data warehouse, built-for-the-cloud, is the perfect fit for the needs of data-driven applications. Delivered as a service, Snowflake provides automatic scaling and optimization to handle ever-changing application demands, while delivering consistently great performance. Snowflake integrates easily with a broad array of tools and frameworks using standards-based connectivity and standard ANSI, ACID-compliant, SQL–regardless of whether the data is structured or semi-structured like JSON. Snowflake has built-in availability, data protection and encryption, so you don’t have to build it. 

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Case Study

PDX Delivers Insight-as-a-Service Using Snowflake

Read why PDX chose Snowflake to power analytics for its next-generation pharmacy analytics service.

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Video

How Snowflake Supports Data Analytics

Jon Bock, VP of Product Marketing at Snowflake shares the technology and requirements for selecting a cloud data warehouse like full support for SQL and dynamic and elastic support for any scale of data, workload and user concurrency.

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  • We chose Snowflake to help power the web performance reporting and analytics that we provide our customers because it differentiated itself from the alternatives.

    – Matt Solnit, Founder and VP of Engineering, Soasta

Get Started Today

Snowflake makes it easy to start building your own analytic applications. Sign up for Snowflake today and experience the benefits of a data warehouse built for the cloud without the hassles of traditional data warehousing or big data solutions.

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