Arlington, Virginia – [August 12th, 2025] – Kinetica, the real-time database for generative retrieval and analytics, today announced it has been recognized as a Leader and Fast Mover in the 2025 GigaOm Sonar Report for Real-Time Analytical Databases.
The report highlights Kinetica’s unmatched ability to deliver multi-modal analytics from a single platform, enabling organizations to run real-time queries on streaming and historical data across structured, time-based, geospatial, and vector workloads.
“Of the platforms covered in this report, Kinetica supports one of the widest, if not the widest, range of diverse analytics workloads,” GigaOm states. “Its support for multi-modal analytics from a single platform, and especially its support for real-time analytics with time-based and/or geospatial components, means it can be used to address some of the most complex, modern data challenges facing organizations.”
Why Customers Choose Kinetica: Real-World Impact
Kinetica’s real-time capabilities are used across industries where situational awareness, sub-second response times, and multimodal data integration are mission-critical:
– A large civilian logistics agency uses Kinetica to dynamically optimize postal delivery routes—reducing emissions, fuel usage, and delivery times by combining live sensor data with geospatial and temporal analytics.
– Kinetica enables co-pilots and agents in telecom to instantly analyze and act on massive volumes of real-time, spatiotemporal, and vector data for use cases such as large-scale anomaly detection with high data rate ingest (millions of records per second).
– Federal defense and intelligence agencies deploy Kinetica to accelerate situational awareness across hundreds of real-time data sources.
– Foursquare leverages Kinetica to accelerate advanced spatial queries across billions of data points, enabling real-time location intelligence for its clients.
These deployments illustrate the value of a unified platform that can handle diverse data types (geospatial, time-series, vector, and knowledge graph) with low latency, enabling decision-makers and AI agents to act quickly and intelligently.
CEO Perspective
“We’re honored to be recognized by GigaOm as a leading real-time database for powering analytics and AI,” said Nima Negahban, CEO and co-founder of Kinetica. “This recognition reflects our core vision: to help organizations make sense of the present moment — enabling applications, analysts, and autonomous agents to not only react, but to understand, anticipate, and drive decisions through the power of live data at scale.”
Built for the Future of Real-Time Analytics and AI
With GPU acceleration, native vector search, geospatial support, and a flexible SQL-based interface, Kinetica is purpose-built to support the next generation of analytics and AI applications. By delivering fast, context-aware insights using structured, multimodal data, Kinetica powers real-time applications that require accuracy, relevance, and speed — ideal for both human and AI decision-making.
“Many people believe that all AI needs is ‘more and more data’. What we have seen is that without the relevant context, particularly with large data sets, AI is not effective in producing useful results,” said Amit Vij, president and co-founder of Kinetica.
The platform is available as a managed cloud service, on-premises deployment, or free SaaS tier.
To learn more about Kinetica’s real-time capabilities, visit www.kinetica.com.
To view the GigaOm report announcement: https://www.linkedin.com/feed/update/urn:li:activity:7359199253325369344
About Kinetica
Kinetica is the high-performance real-time analytics database built for time series, spatial, graph, and vector workloads. Powered by GPUs and modern CPUs, Kinetica enables organizations to process massive volumes of streaming and historical data with sub-second latency — combining the speed of a database with the flexibility of AI and the power of advanced analytics.
Press Contact:
Media@Kinetica.com
