Businesses need to store and analyze data efficiently. Snowflake delivers a built-for-the-cloud architecture that enables disparate teams to work on the same data--structured and semi-structured--for a wide range of workloads across clouds. Using Snowflake, organizations have the ability to scale their data warehouse up and down as the situation demands. Its unique shared data architecture allows for easy scalability. Inside the Snowflake Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Instead of separating production and analysis databases, Snowflake uses virtual data warehouses to allow unlimited access and computational power, delivering on performance, simplicity, and affordability.

Tableau and Snowflake: Helping You Gain a Trusted Source of Truth

We were thrilled to join Snowflake at the 2022 Snowflake Summit and value our long-term partnership to help organizations move faster, easier, and more reliably in storing data, scaling analytics, and making smarter decisions.

Attendees had the opportunity to meet Tableau experts, experience insightful demos and training, and discover what success they and their businesses can achieve with “cloud-native” analytics. Check out our interview with Snowflake's Ryan Green!

Watch our Interview!

Snowflake's Business Intelligence Partner of the Year

Together, helping customers unite siloed data and analyze data efficiently in the cloud

A new milestone in our partnership, Snowflake named Tableau their 2022 Business Intelligence Partner of the Year to recognize our continued focus on fueling positive business outcomes and customer advantages.

See Snowflake's Announcement of our Award!

Best Practices for Using Tableau and Snowflake Together

Check out this on-demand session to learn how to use Tableau to optimize your Snowflake backend to make both platforms perform at their peak while delivering world class self-service analytics to your internal and external customers.

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The Analytics Platform Built for the Cloud

How Tableau and Snowflake accelerate time-to-value in the cloud

Establishing a Data Culture—one in which teams value, practice, and encourage using data to make decisions—is a key step toward building a data-driven organization that thrives in today’s dynamic environment. Even more important are the pieces that can help take your organization to that realization of driving decisions based on your data. This Forbes Brandvoice article details how the cloud injects energy and purpose into a data culture.

Tableau and Snowflake: Data Culture Enabled

Snowflake Cloud Monitoring Dashboards

How much are you spending on compute? What's performance like across virtual warehouses throughout the day? What is your user adoption rate and how many different users do you have on a particular database? Together, Tableau and Snowflake wanted to help you answer some of these questions and what better way to do that than actual Tableau visualizations! Take a look at these pre-built dashboards so you can easily monitor and track your Snowflake usage directly in Tableau.

See the dashboards

The Modern Data Pipeline Whitepaper

In this whitepaper, UiPath together with Tableau, AWS and Snowflake explore the opportunity that data presents. Download the whitepaper to uncover insights on how organizations can build a modern data pipeline that supports a data culture, removes friction, and delivers real-time data insights and automated actions that improve customer experiences, elevate client outcomes, and drive results for your business.

Download the whitepaper

The Accelerated Analytics Quick Start

Tableau and Snowflake on AWS

Deploy a fully functional Tableau Server environment and automatically establish a connection to Snowflake, the data warehouse built for the Cloud. This Quick Start gets customers up and running fast, allowing them to scale their virtual warehouses based on usage, leading to cost savings and peak efficiency. The Quick Start also includes pre-built Tableau Dashboards providing ultimate transparency into your cost and compute metrics.

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Rapid-fire data with Snowflake and Tableau

Until recently, advancements in data warehousing and analytics were largely incremental. Small innovations in database design would herald a new data warehouse every 2-3 years, which would then quickly become overwhelmed with ever-increasing data volume. Read how Snowflake and Tableau together are revolutionizing the speed of analytics.

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Tableau's Cloud Migration to Snowflake

Not only is Snowflake a tremendous partner of ours--at Tableau, we have adopted the winning combination of our two platforms! We recently published a three-piece blog post series highlighting Tableau's migration to the cloud, featuring how we chose Snowflake and more in-depth details around the entire journey. For more information, read on about our migration process:

Read the blog post series

How Paladina Health Drives Outcome-Based Analytics with Snowflake and Tableau

As more healthcare providers and payers transform how they serve patients and members, it’s vital to understand how a flexible cloud data management strategy and visual analytics platform can support proactive and cost-efficient approaches to patient care. To learn more about how Tableau and Snowflake are helping healthcare organizations, you can access the whitepaper here. Watch this webinar to learn how Paladina Health uses Snowflake and Tableau to further its mission of increasing the value of care while reducing overall healthcare spending for patients and client organizations.

Watch the Webinar

Snowflake's groundbreaking architecture

Snowflake's multi-cluster, shared data architecture was built for the cloud from the beginning. Data is stored in Amazon S3 and is accessible independently from as many virtual data warehouses as you need. Because computing and storage are completely separate, you can independently scale either to meet your needs at any time.

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“We are using the combination of Snowflake and Tableau to drive home that data management around security and governance.”

F5 builds data-focused culture with Tableau Blueprint and Tableau Cloud

Ascending as a new kind of industry leader in the cloud, F5 carefully considered each step that a customer follows to learn about, try, purchase, and get support for F5 technology. Each step in this journey is integrated with data services and applications designed to empower F5 with the best possible analysis for making customer relationships mutually productive and beneficial. F5 uses: 

  • Salesforce Customer 360 and Salesforce Service Cloud for nurturing leads and customer relationships.
  • Fivetran, a cloud-based data movement tool, to centralize data from SaaS sources and deliver insights faster.
  • Snowflake for gathering all data points into a central enterprise data ecosystem.
  • Tableau Cloud for visualizing data and data relationships that drive insights and actions throughout the business.
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We've always been obsessed with customer behaviour and for the first time we can truly indulge that obsession. Prior to Tableau we were spending a lot of time on predictions, which always comes with a degree of guesswork. Now everything is much more factual, right down to the finest details, which is much more valuable to the business.

carwow cuts time to insight by 30%

Through Tableau, Snowflake, and Fivetran, carwow has been able to adopt a data-driven culture, leading to better and faster decisions towards understanding their customers. Snowflake and Fivetran enable the migration of the company's data which vastly improves processing speed. Tableau's ease of connecting to Snowflake and visualization capabilities made it an easy decision for carwow and as a result they have cut their time to insight by 30%.

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Tableau is the friendliest way for our business to explore data. When you're lost in a sea of data, a visualization can act as a sort of information map. When combined with Snowflake's speed, we can now explore this information map at the speed of thought and move from data to information to a decision 10 times faster.

10x faster analysis at Notre Dame

Due to growing data, The University of Notre Dame’s fundraising office adopted the Snowflake Elastic Data Warehouse. With Snowflake’s virtual data warehouses, the office instantly matched capacity with need—in many cases, their analysis came 10x faster. Using Tableau, Notre Dame takes advantage of that speed with direct connectivity for both dashboard creation and sharing. With Tableau and Snowflake, the University of Notre Dame has a platform that is scalable, fast, and accessible.

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Explore petabytes of data

With a scalable AWS back-end, support for virtual warehouses, and the capability to work with structured and semi-structured data, Snowflake has the flexibility to adjust to demanding workloads.

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