Quest: Data Compute Engine that Enables Rapid Decisions Using All Data Assets
PALO ALTO, CA: Metanautix, a big data analytics company announces the general availability of industry’s first data compute engine called Metanautix Quest. It enables swift decisions using all data assets regardless of type, size, or location. Metanautix Quest re-imagines traditional SQL, combining the language’s high-level functionality with distributed computing technology. Metanautix Quest offers an intuitive approach to ask questions of disparate data sources and grants enhanced visibility into data pipelines.
Metanautix Quest allows analysts to easily access and unite data from disparate silos into easy-to-understand tables – whether the data is records, logs, documents, audio files, images, or videos. The solution works within an organization’s existing toolset and doesn’t require data be moved to a centralized system. Metanautix Quest simplifies and speeds-up data analysis for more effective collaboration, governance, security, privacy and compliance.
“Quest is allowing us to analyze hundreds of millions of records in the electricity markets, hundreds of times faster than our traditional data pipeline,” says Ali Hortacsu, Professor of Economics at The University of Chicago. “Quest has seamlessly integrated into our process, used our existing SQL, and sped our queries dramatically.”
Metanautix has more than half a dozen customers, including HP and Shutterfly, who employ Metanautix to create a more seamless data supply chain in a range of different data environments, alongside a wide variety of toolsets.
“The reality of modern data-driven enterprises is that there is no one model; heterogeneity is here to stay. Even organizations in the same industry can have radically different processes and tools for ETL, ad hoc analysis, discovery and business intelligence. With this in mind, we created Quest to be a flexible solution that runs in any environment,” says Theo Vassilakis, CEO of Metanautix. “The prevailing technical view is that the various stages of analysis need to be separate or stitched together from disparate solutions. Quest was designed from the ground up to be integrated.”