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Kyvos Brings OLAP Cubes To Hadoop For Interactive Big Data Analytics

By on 24/08/2015

Kyvos Insights announced the general availability of Kyvos. Kyvos allows business users to use online analytical processing (OLAP) data cubes to analyze large data sets stored in Hadoop. OLAP cubes are popular in traditional data analysis, enabling business users to “slice and dice” data in multiple dimensions. Kyvos offers drill down functionality that allows users to view data at any scale and at any level of granularity.


“Companies are collecting unprecedented amounts of data, but it’s very difficult for a business user to directly access and interact with this data in a meaningful way,” said Ajay Anand, vice president of products at Kyvos Insights. “Kyvos addresses this need by enabling interactive analytics on big data using Hadoop at any scale, with instant response times. Business users can now visually analyze their data and get insights instantly, without having to wait, so they can make smarter, more informed decisions.”

Kyvos differs from traditional batch oriented data processing in Hadoop, which requires that a programmer creates custom code using MapReduce methodologies. Kyvos removes this requirement and allows users to interactively explore large-scale data sets directly on Hadoop. The ability to work directly on Hadoop helps avoid the costs of moving company data to a separate data mart for analysis.

Kyvos can run on top of all major distributions of Hadoop including Cloudera, Apache Hadoop, Hortonworks and MapR, and it allows users to view data using Microsoft Excel and Tableau, in addition to Kyvos itself.

Kyvos allows business users to build workflows using drag and drop with no programming required. By creating cubes directly on Hadoop, cubes can be built at virtually any size. Kyvos supports role based access control and features LDAP, Active Directory and Kerberos integration. Kyvos’ data visualization tools allows users to create interactive visualizations with charts and mapping capabilities. Users can create visualizations that allow drill-down to the finest level of granularity