Aster Data and Tableau Software Partner for Big Data Analytics and Visualization

Wednesday Dec 1st 2010 by DatabaseJournal.com Staff
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An integrated solution for big data and BI reporting.

Aster Data and Tableau Software Partner for Big Data Analytics and Visualization; providing an integrated solution for big data and BI reporting and data visualization. Aster Data’s nCluster will deliver data management and analytics and Tableau Software will provide big data visualization and rich analytics dashboards; providing a solution for both structured and non-relational data for customers to gain a competitive advantage and solve problems related to big data sets.

"Connecting Tableau to Aster Data gives customers a complete analytics solution, with a robust back end and user-friendly front end that can scale to as much data and get as granular as the user desires," said Chris Stolte, Chief Development Officer and Co-founder of Tableau Software. "Entire organizations, from C-level executives to front-line employees, have the ability to access information and make data-driven decisions. With its ability to scale the data as well as extend usability this joint solution breaks down long-standing barriers to analysis in the enterprise. With Aster Data, we're delivering on our promise to deliver rapid fire business intelligence that encourages visual thinking and data analysis for everyone."

"Tableau shares Aster Data's commitment to innovation and superior business insights," said Tasso Argyros, Chief Technology Officer and Co-founder of Aster Data. "Together we have created an impressive solution that allows organizations to truly get the most value from their data. The more people you have accessing, analyzing, manipulating, and hypothesizing about your data, the more success you will have at not only becoming a data-driven enterprise but competing to win by delivering differentiated data-driven solutions. We are already seeing traction with customers across many industries as they leverage this combined solution to drive deeper business insights on large data volumes."

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