How Tableau + Amazon Work Together

By Ashley Jaschke 2015/10/07

Our partner Amazon has made a number of announcements at its re:Invent conference this week. Since many Tableau users connect to data stored in Amazon Web Services, we wanted to update you on how Tableau and Amazon can help you make sense of your data in the cloud.

Cloud Integration with AWS

This week, we announced new integrations with Amazon Web Services (AWS) to provide expanded choice for users as they adopt cloud analytics solutions. First, we released a direct connector to Amazon Aurora, which is Tableau’s third connector for AWS after Amazon Redshift and Amazon EMR.

Additionally, Tableau connects to the Amazon Relational Database Service (Amazon RDS), which gives users access to the capabilities of MySQL, Microsoft SQL Server, or PostgreSQL relational database management systems running in the AWS cloud.

We often hear from data explorers who use Tableau's AWS connectors. Aeria Games uses Tableau to connect to Amazon RedShift. The combination “connects people directly with the data," says business intelligence manager Kirill Andriychuk.

Tableau in AWS Marketplace

Tableau Server is now available in the AWS Marketplace. This gives users more choice on how to test, buy, and deploy Tableau. The new pay-as-you go (hourly) option enables organizations to quickly deploy Tableau Server to any AWS region in minutes for specific projects.

Tableau’s user bundles for AWS Marketplace are available in 10-, 25-, 50-, and 100-seat configurations. They can be launched to run on an optimally-sized Amazon Elastic Compute Cloud (EC2) instance. This option gives users an easy way to run a proof of concept of Tableau Server in a production environment. This new hourly pricing option is an addition to the bring-your-own-license listing for Tableau Server in AWS Marketplace released this past summer. (For more information about these integrations, please see our press release.) Tableau users can also choose to run their own deployment of Tableau Server on AWS.

Integration with SPICE as Part of QuickSight

In today’s keynote at re:Invent, Amazon announced QuickSight, a new cloud-powered business intelligence service. We’ve seen a trend of companies providing new ways to view data within their own ecosystems while keeping that data open to solutions like Tableau. This allows people to work with kinds of data, no matter where it’s coming from.

Amazon has taken steps to mature the database market, which helps the analytics market. When database technologies become faster and better, it means more organizations can take advantage of Tableau to see and understand their data.

Tableau users value being able to connect to many different types of data, whether it's in the cloud or in their own environment. This includes data stored in AWS products as well as numerous other relational databases like Oracle and SQL Server, non-relational databases like Hadoop, and cloud applications like Salesforce.

Tableau and Amazon are working on an integration to enable users to query against data stored in SPICE, QuickSight’s in-memory data store, in Tableau. Data explorers will soon be able to take advantage of Tableau’s visual analytics capabilities and flexibility in working with cloud and on-premise data, and get faster performance at scale.

As the data and analytics market continues to evolve, you can expect to see more partnerships that complement and overlap. Today’s organizations have data everywhere as well as an increasingly diverse set of users who need to analyze data. We expect to see Tableau users leverage multiple technologies that address their heterogeneous data needs. We look forward to continuing our partnership with Amazon to help more people see and understand their data.


Submitted by Marc Seid (not verified) on

Awesome news

Submitted by mario (not verified) on

Hi, I would like to know if the connection with AWS is available in the marketplace for AWS.
We have a Tableau desktop installed in my pc and backend will be moved into AWS.
How to connect to AWS Database and work like everyday.
Thanks a lot for your question


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