Kinetica

Kinetica is a GPU-accelerated analytics platform and database designed to enable real-time insight from large-scale data. Marketed as KineticaDB, the system uses graphics processing units to accelerate queries and workloads that are difficult for traditional CPUs, such as complex geospatial analysis, time-series workloads, and real-time analytics on streaming data.

The platform provides a SQL-like query interface layered on a distributed architecture that leverages GPU parallelism, enabling low-latency aggregation, filtering, and join operations. It supports geospatial indexing and analytics, supports in-database machine learning workflows, and is designed to integrate with common data pipelines and BI tools. The data can be ingested from streaming sources and batch loads and then served to dashboards or application clients with low latency.

Kinetica targets industries with demanding analytics requirements, including financial services, telecommunications, manufacturing, and government. Deployments may be on-premises, in the cloud, or in hybrid configurations, catering to organizations that need real-time operational analytics, fraud detection, anomaly detection, or geospatial visualization. The company positions Kinetica as an alternative to traditional analytics databases and to streaming platforms, offering combined capabilities for analytics, AI, and visualization in a single platform.