Kinetica is the real-time database for generative retrieval and analytics.

Kinetica is a real-time, GPU-accelerated database for agentic retrieval and analytics. Vector search, SQL, graph, spatial, and time-series workloads run on the same data in a single engine — without stitching five systems together.

Hybrid queries that combine vector similarity, structured filters, graph traversal, geospatial joins, time-series aggregation — execute as one SQL statement against streaming data with sub-second latency across billions of rows.

Built from the ground up on a vectorized query engine and columnar storage — Kinetica is the only database engineered to natively leverage the massive parallelism of NVIDIA GPUs allowing our customers to tackle use cases that CPU only systems were never designed for.

Agents need a fast, multi-modal retrieval layer to reason over data at enterprise scale. This is what Kinetica provides — from edge to cloud.

Trusted by Citi, Verizon, NORAD, Millennium Management, USPS, and the US Air Force. 2025 GigaOm Sonar Leader for real-time analytical databases.

Artificial Intelligence, Location Intelligence, Real-time analtyics, GIS, generative ai, Vector Database, Graph Database, RAG, Vector Search, Big Data, C5ISR, JADC2, Edge-AI, AI-RAN, Time Series Database, GEOINT, and Capital Markets