By combining technologies, Kineticas in-database analytics capabilities will be extended by hundreds of additional GPU-accelerated and highly-parallelized, machine learning and predictive analytics algorithms from Fuzzy Logix. At the same time, those analytic functions will now also be able to take full advantage of Kineticas distributed GPU pipeline via its User Defined Functions (UDFs).
Leveraging GPUs for analytical workloads is on the rise, particularly among financial services, life sciences and retail organizations that often deal in extremely large data volumes with high scaling and real-time processing requirements, said Jim Curtis, Senior Analyst, Data Platforms & Analytics at 451 Research. As such, the partnership between Kinetica and Fuzzy Logix should provide these additional analytical capabilities.
Analytics and data science teams using the joint solution will have access to a rich library of algorithms on a SQL-compliant, in-memory database that leverages the GPUs massive parallelization and brute force compute for real-time analytics.
