Kinetica Announces Record Business Momentum as Market for Analyzing Sensor and Machine Data Experiences Explosive Growth

Achieves record 90% ARR growth; NDRR rate of 163%; Doubles Customer Count; and Welcomes Robert DeMartino as CRO
 
Customers are deriving value from real-time data analysis from proliferating connected devices capable of sharing their location

Kinetica, the database for time & space,announced record business momentum over the past 12 months of 90% Annual Recurring Revenue (ARR) growth, Net Dollar Retention Rate (NDRR) of 163%, and doubling of its customer base. Leading organizations creating the next generation of data driven applications based on sensor and machine data continue to choose Kinetica for its unrivaled real-time analytical and processing power of time-series and geospatial data.

The growth in connected devices is expected to generate 79.4ZB of data in 2025, according to IDC. Prime examples are streams of data from mobile devices, static or moving sensors, satellites, and video feeds from drones and closed-circuit TVs. Conventional analytic databases were designed to analyze transactions and first generation Big Data like web logs. But, getting value from sensor data characterized by time-stamps and geo-encoding requires new capabilities that aren’t satisfactorily addressed by prior generation databases, even those with special object-relational extensions for spatiotemporal data.

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The value that customers receive from Kinetica is reflected in the doubling of its customer base. Kinetica has recently been selected to help create new location-driven solutions for innovators in real-time analysis and modern location intelligence on massive data sets, including Liberty Mutual, TD Bank, the NBA, Lockheed Martin, and many others. They join existing customers such as USPS, T-Mobile, FAA, Ford, Point72, Verizon and Citi that continued to expand their Kinetica deployments last year. Kinetica customers are optimizing delivery fleets in transportation and logistics, improving network coverage in telecommunications, minimizing transaction costs in financial services, improving military and civilian threat detection, and developing new data driven products within connected cars.

Kinetica uses native vectorization to significantly outperform other cloud analytic databases. In a vectorized query engine, data is stored in fixed-size blocks called vectors, and query operations are performed on these vectors in parallel, rather than on individual data elements. This allows the query engine to process multiple data elements simultaneously, resulting in faster query execution and improved performance. Recent independently verified industry standard benchmarks show Kinetica is 5X faster than Google BigQuery, and 12X faster than ClickHouse. This leap in performance allows Kinetica to address previously intractable workloads, particularly those that require fusion of temporal and spatial data in real-time. Kinetica supports dozens of spatial and temporal join types, hundreds of in-database analytic SQL functions, and enables visualization of billions of data points on a map.

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“The evolution of sensors from taking readings over time to taking readings over space and time is driving customers to Kinetica to derive value from the fastest growing kind of data:  location-enriched sensor data,” said Nima Negahban, Cofounder and CEO, Kinetica. “The positive reception our advanced geospatial database continues to receive from new and existing customers alike underscores that many existing databases have struggled to keep up the scale, speed and specialized analytics required for modern, real-time analytic workloads. They were never designed to handle the variety of fusion steps and geometry changes in an acceptable latency profile required to power downstream, value-added location aware services.”

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