Kinetica Delivers Advanced In-Database Analytics, Opening the Way for Converged AI and BI Workloads Accelerated by GPUs

SAN FRANCISCO--(BUSINESS WIRE)--Kinetica, provider of the fastest, in-memory database accelerated by GPUs, today announced the availability of in-database analytics via user-defined functions (UDFs). This industry-first capability makes the parallel processing power of the GPU accessible to custom analytics functions deployed within Kinetica. This opens the opportunity for machine learning/artificial intelligence libraries such as TensorFlow, BIDMach, Caffe, and Torch to run in-database alongside, and converged with, BI workloads. Kinetica also introduced its extensible and flexible'Reveal' visualization framework for interactive, real-time data exploration. Kinetica's advanced in-database analytics make it possible for organizations to affordably converge Artificial Intelligence, Business Intelligence, Machine Learning, natural language processing, and other data analytics into one powerful platform.