Syncsort and Tableau Software form technology partnership to help customers accelerate big data integration and analysis
WOODCLIFF LAKE, N.J., Sept. 5, 2013 /PRNewswire/ -- Syncsort, a global leader in Big Data integration solutions, today announced a technology partnership with Tableau Software (NYSE: DATA) geared to provide their mutual customers with a better way to make the most current, accurate data from across the enterprise, including mainframe and legacy systems, available in Hadoop and then visualize and share it on-the-fly with simple, drag and drop business analytics.
Syncsort's Data Integration solutions deliver an agile ETL platform ─ collecting, processing and integrating data into Hadoop for faster performance and an easy way to keep the most current data available for analysis. Tableau gives customers a quick and simple method to analyze, visualize and share the information via a drag and drop interface. Combined, Syncsort and Tableau provide a fast, resource and cost-effective solution for collecting, processing and visualizing data ─ optimizing value and leveraging key mainframe and legacy data to uncover new business insights on request.
"To derive maximum value from Big Data across the enterprise, customers are looking for the smartest way to get enterprise data into Hadoop, keep the most current information available for analysis and quickly and easily visualize it for business intelligence," said Bryan Ashley, vice president business development, data integration business, Syncsort. "With Syncsort's Data Integration solutions and Tableau's visual analysis technology, customers have the agility to achieve this goal with speed, accuracy and minimum risk."
With over 40 years of mainframe experience, Syncsort can address the challenges of ingesting and processing data from across the enterprise, including mainframe and legacy data. With no programming or tuning required, Syncsort provides the ability to extract, transform and load data between Enterprise Data Warehouses, file repositories, and Hadoop.
"Big Data analysis is often complicated by the need to integrate data from multiple sources with multiple formats including key business data sources on Mainframes," said Dan Jewett, vice president of product management, Tableau Software. "The process of collecting and processing the data needs to be simple, fast, efficient and reliable from the time it is pulled from multiple sources until it is visualized for analysis. The partnership with Syncsort offers a complete and balanced solution to this challenge."
Syncsort will be available to discuss the partnership and demonstrate the joint solution at the Tableau Customer Conference in Washington, D.C. at booth 308 in the Partner Pavilion (Expo Hall D) during Expo hours from Sunday, September 8 through Wednesday, September 11.
In addition, last month, at the HP Vertica Big Data Conference, Syncsort showcased a joint HP Appsystem/Tableau/DMX-h/Vertica solution designed to deliver high-performance loading of HP's next-generation analytics platform software.
For a test drive of DMX-h, click here.
About Syncsort's Data Integration Business
Syncsort provides data-intensive organizations across the big data continuum with a smarter way to collect and process the ever-expanding data avalanche. With thousands of deployments across all major platforms, including mainframe, Syncsort helps customers around the world to overcome the architectural limits of today's ETL and Hadoop environments, empowering their organizations to drive better business outcomes
About Tableau Software
Tableau Software (NYSE: DATA) helps people see and understand data. Tableau helps anyone quickly analyze, visualize and share information. More than 13,500 customer accounts get rapid results with Tableau in the office and on-the-go. And tens of thousands of people use Tableau Public to share data in their blogs and websites. See how Tableau can help you by downloading the free trial at www.tableausoftware.com/trial.
Tableau and Tableau Software are trademarks of Tableau Software, Inc. All other company and product names may be trademarks of the respective companies with which they are associated.
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