Kinetica DB

Kinetica DB, Inc.’s GPU-accelerated, in-memory analytics database delivers real-time response to queries on large, complex and streaming data sets: 100x faster performance at 1/10 of the hardware of traditional databases. Their fully distributed architecture and simplified data structures lead to more predictable scale out on industry-standard hardware. In-database analytics via user-defined functions (UDFs) open the way for converged AI and BI workloads accelerated by GPUs. Kinetica comes with native geospatial and visualization pipeline for interactive location-based analytics. Organizations use Kinetica to simultaneously ingest, explore, analyze and visualize data within milliseconds to make critical decisions and find efficiencies, lower cost, and generate new revenue.

Advances in the design of the GPU (graphics processing unit) have made them ideal for keeping pace with the relentless growth in the volume, variety, and velocity of data confronting organizations today. GPU acceleration delivers both performance and price advantages over configurations containing only CPUs in most database and data analytics applications. BI acceleration, location-based analytics, machine learning, and real-time IoT analytics are a few examples of what is possible with a GPU-accelerated database.

GPU’s performance and price/performance advantages are now within reach of any organization. Open designs make it easy to incorporate GPU-based solutions into virtually any existing data architecture, where they can integrate with both open source and commercial data analytics frameworks.