Kinetica transforms data into instant insight. Power new technologies and services, from connected devices to risk management to personalization and beyond.
A GPU-accelerated analytics database
for real-time insights on large and streaming datasets
The GPU parallelized processing architecture not only enables near-linear scalability, it also reduces analytical processing times for multi-billion row data sets by more than 100x compared to leading in-memory and analytical databases.
AI & BI Together...
GPUs are well suited for the types of vector and matrix operations found in machine learning and deep learning. In-database processing on Kinetica opens the way for machine learning and artificial intelligence libraries to run in-database on one combined system .
Take the Kinetica Challenge!
Sometimes benchmarks and marketing copy can sound too good to be true. The best way to appreciate the possibilities that GPU acceleration brings to large-scale analytics is to try it with your own data, your own schemas and your own queries.
Contact us, and we'll set you up with a trial environment for you to experience it for yourself.