BERLIN, June 8, 2015 /PRNewswire/ --
From today, users of Tableau can dramatically speed up their data visualisations with a plug-and-play boost from EXASOL. The provider of the world's fastest MPP in-memory analytic database that helps businesses turn data into insight has released details and pricing of its analytic offering that speeds up Tableau users' front-end, heralding an end to slow performance and inflexibility of legacy database technology that sits beneath.
Known as the Tableau Turbo by EXASOL , and starting at just €15,000*, the solution sits alongside an organization's existing database, data mart or data warehouse, acts as an acceleration layer and accelerates data visualisations that companies are running in Tableau. The announcement was made today at Tableau's Tableau On Tour Conference in Berlin, where EXASOL is a sponsor.
As businesses become increasingly data-driven, the ability to analyse data and act upon insights is crucial to remaining competitive in the market. Front-end visualisation tools such as Tableau allow users to see and understand their data, but BI and reporting technology can be let down by the latency of the underlying databases where the data is resident. EXASOL has developed a solution to this problem by adding an acceleration layer between existing database technology and Tableau.
The Tableau Turbo by EXASOL is powered by EXASOL's in-memory analytic database, which delivers the most powerful engine for Tableau, helping it bring data to life within the shortest of timescales. It supercharges Tableau, letting organizations analyse huge data volumes in real time, which allows them to focus on their business, not on fixing performance issues. Moreover, now users can integrate multiple data sources including structured and unstructured data from systems such as Hadoop.
"Tableau is designed to help businesses see and understand their data quickly, however if businesses cannot interact with their data easily and fast due to the poor performance delivered by their underlying database, it doesn't matter how good the front-end visualisation tool promises to be," said Aaron Auld, CEO, EXASOL. "We offer the world's fastest in-memory analytic database so by adding our speed we can make a real difference to Tableau users. Businesses can get back to focusing on their core business rather than worrying about poor database performance."
About Tableau Turbo by EXASOL
The Tableau Turbo is a software and hardware package that is available in three configurations:
- Tableau Turbo 100 - up to 100GB of raw data, includes first year of support: €15,000*
- Tableau Turbo 500 - up to 500GB of raw data, includes first year of support: €30,000*
- Tableau Turbo 2000 - up to 2TB of raw data, includes first year of support: €50,000*
For more information, including terms and conditions, go to: http://www.exasol.com/en/tableau
*All prices exclude local sales taxes and shipping costs.
EXASOL is passionate about helping companies to run their businesses smarter and drive profit by analysing data and information at unprecedented speeds. The company develops the world's fastest database for analytics and data warehousing and offers first-class know-how and expertise in data insight and analytics. The in-memory analytic database is the first database to combine in-memory, columnar compression and massively parallel processing, and is proven to be the world's FASTEST, topping the list in the TPC-H Benchmark tests for performance . Companies that depend on EXASOL to analyse their data in real-time include Adidas Group, GfK, IMS Health, King, Olympus, MyThings, Sony Music and Xing. Follow EXASOL on Twitter at @EXASOLAG.
The TPC-H benchmark is a performance test of the TPC, a non-profit corporation founded to define database benchmarks and to disseminate objective, verifiable performance data to the industry. The TPC-H benchmark is a decision support benchmark. It consists of a suite of business oriented ad-hoc queries and concurrent data modifications. The queries and the data populating the database have been chosen to have broad industry-wide relevance. This benchmark illustrates decision support systems that examine large volumes of data, execute queries with a high degree of complexity, and give answers to critical business questions.