Kinetica, provider of the fastest, in-memory database accelerated by GPUs, today announced its recognition by ESG in its Delta-V Awards as one of the top twenty companies that accelerated innovation in big data and analytics in 2016.
“Kinetica is honored to be recognized by ESG as a significant industry contributor in big data and analytics,” said Amit Vij, CEO and co-founder, Kinetica. “Kinetica leverages the power of GPUs for unprecedented performance to ingest, explore and visualize streaming data, particularly for use cases where time and location matter. ESG’s recognition is further validation of our proven enterprise scale.”
According to ESG’s Senior Analyst Nik Rouda, “A database built from the ground up using GPUs to address the proliferation of large, complex and streaming data is just what Kinetica has delivered. Speed and scale are the name of the game, but often database benchmark promises look good on paper and then are nowhere to be seen in the real world. Kinetica is a database that delivers real time for real.”
Kinetica empowers organizations to address a wide range of use cases in real time–even with real time visualization, including risk management, anomaly and fraud prevention, resource allocation on the fly, inventory tracking, terrorist and other national security threat tracking, energy generation optimization, and customer engagement improvements.
Enterprise Strategy Group (ESG) is an integrated IT research, analysis, and strategy firm that is world-renowned for providing actionable insight and intelligence to the global IT community. Recognized for its unique blend of capabilities—including market research, hands-on technical product validation, and expert consulting methodologies such as the ESG Strategy Lifecycle—ESG is relied upon by IT professionals, technology vendors, investors, and the media to clarify the complex. For more information visit: www.esg-global.com.
Kinetica is a GPU-accelerated, distributed, in-memory database that delivers truly real-time response to queries on large, complex and streaming data sets: 100x faster performance at 1/10 of the hardware of traditional databases. Kinetica is fully distributed, and simplified data structures lead to more predictable scale out. In-database analytics via user-defined functions (UDFs) open the way for converged AI and BI workloads accelerated by GPUs. Organizations use Kinetica to simultaneously ingest, explore, analyze and visualize data within milliseconds to make critical decisions and find efficiencies, lower cost, generate new revenue, and improve customer experience. Learn more at kinetica.com.