Metanautix Releases Personal Quest To Enhance Access To Its Platform For Integrated Analytics For SQL, NoSQL and Hadoop Datasets

On Tuesday, Metanautix released Metanautix Personal Quest, a product that enables individuals to leverage the power of the Metanautix platform to perform queries on data stored in Hadoop, NoSQL and relational database formats. Individual users can use Personal Quest to perform integrated analytics on data stored in relational and non-relational formats to obtain an integrated view of data stored throughout an organization’s different applications and data repositories. Metanautix allows users to download Personal Quest to their machine and subsequently test the capabilities of the Metanautix data compute engine for an unlimited time period for data limited to a designated size and number of queries. Metanautix Quest’s distributed compute engine enables the joining of SQL and non-SQL data sources without complex ETL processes. The video below shows how the integration of Metanautix Quest and Tableau enables customers to join data from Teradata SQL data to MongoDB NoSQL data to obtain a more granular understanding of sales by product by means of a few simple drag and drop operations. The clip illustrates how Metanautix Quest can execute a distributed join to analyze store sales data stored in a Teradata database to product data stored within MongoDB to enable a comparative analysis of sales across product categories such as books, children, electronics and shoes by month. After a visual review of sales by product category in a Tableau workbook reveals that shoes had a significant impact on overall sales, users can perform another join to drill down on shoe sales by shoe type to learn that men’s shoes and athletic shoes were largely responsible for the spike in sales specific to the shoe category. The distributed join performed by Metanautix Quest on Teradata SQL data and MongoDB NoSQL data facilitates a speedy analysis by means of a user interface that requires neither ETL nor the migration of data to a centralized staging repository. As such, Metanautix Quest radically simplifies data analysis and data visualization given the proliferation of different kinds of datasets in small, mid-size and enterprise-level organizations alike. By giving individual users unlimited time-based access to Metanautix Personal Quest, Metanautix intends to underscore the power of its analytic engine for performing analysis on data stored in sources that include Hadoop, Teradata, MongoDB and other SQL and NoSQL data repositories.

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