LAS VEGAS, Nov. 14, 2013 /PRNewswire/ -- Today, at the Amazon Web Services (AWS) re:Invent conference, Tableau Software (NYSE: DATA), a global leader in rapid-fire, easy-to-use business analytics software, announced an expansion in its work with AWS with official support for Tableau Server running on the AWS cloud platform, connecting to Amazon Relational Database Service (RDS) and a new Tableau integrated data connector to Amazon Redshift. (Logo: http://photos.prnewswire.com/prnh/20130718/SF48964LOGO) Amazon Redshift combined with Tableau provides a next generation standard in self-service business intelligence platforms for business decision managers and CxO's that need to visualize enormous volumes of data stored in AWS' low-cost, peta-byte scale data warehouse service. This integrated cloud platform delivers the reliability, availability, and capability to visualize enormous volumes of data, derive rapid insight, and make data-driven decisions faster without setting up a costly and time consuming traditional data warehouse environment. "For us, using Tableau and AWS is about getting our products to market faster," said Alan Stacklin, Chief Technology Officer at Akoya. "The combination has allowed us to reduce development time from months to weeks, scale according to the needs of our business and view our data and make decisions in real-time. It's an affordable option that we were able to get up and running very quickly." "For enterprises looking to visualize and gain deeper insights from their data, the combination of Tableau software and Amazon Redshift provides a disruptive business intelligence platform that delivers IT innovation, improved agility, and self-service analytics at a fraction of the cost of traditional models," said Terry Wise, Director, Worldwide Partner Ecosystem, AWS. Tableau and Amazon RDS provide an agile big data environment. With Amazon RDS, Tableau customers can choose the database of their choice, whether it's MySQL, Oracle, Microsoft SQL Server or PostgreSQL, load data to a secure cloud environment and then analyze and interact with that data in just a few clicks.