Kinetica for Automotive

Real-time Analytics from Vehicle Sensor Data

Automobiles have evolved into intelligent machines with sensors capturing and emitting vast amounts of time-series and spatial data. Kinetica enables automotive companies to harness this real-time data to create insights on vehicle performance, driver behavior, traffic patterns, and develop autonomous driving solutions.

Proven with:

Real-time analysis of vehicle performance

Kinetica can be used to collect and analyze real-time data from vehicles, including speed, acceleration, fuel efficiency, and engine performance. This information can help car manufacturers optimize their designs and improve the overall performance of their vehicles.

Autonomous vehicle development

Kinetica can be used to analyze data from sensors on autonomous vehicles to improve object tracking algorithms. This can help automotive companies develop more accurate and reliable autonomous vehicles.

Predictive Maintenance

Kinetica can be used to analyze data from sensors in vehicles to predict when components are likely to fail. This allows automotive companies to perform maintenance before a breakdown occurs, reducing the risk of accidents and improving the reliability of their vehicles.

Case Study

Real-time Telemetry for Vehicle Data

Use Kinetica as a robust and integrated data platform to unlock the full potential of vehicle telemetry data.

Modern connected vehicles are equipped with a multitude of sensors that continuously generate a vast array of data, encompassing everything from speed and fuel consumption to environmental conditions and driver behavior.

This data, when harnessed effectively, enables automakers and tech companies to develop innovative products and features that enhance safety, convenience, and overall driving experience.

Where Matters: The Significance of Location in Vehicle Telemetry Data Analysis »

The Database for Real-time Automotive

Kinetica makes it quicker and easier to ingest, fuse, and visualize data for faster analysis of vehicle performance, predictive maintenance, and improved automation.

Real-Time Intelligence

Kinetica’s lockless architecture, distributed ingestion, and vectorized query enable you to work with numerous sources of spatial and streaming data. Kinetica allows for simultaneous ingest and query, and avoids the need for constant re-indexing and re-aggregations as new data changes the picture.

Time-Series and Geospatial Capabilities

Kinetica combines time-series, spatial, and graph capabilities into a unified database available through a SQL & Postgres compatible interface. Over 130 geospatial functions, geo-joins, graph solving and matching makes analytics on spatial and time series data at scale easier and faster.

Lower TCO, Faster to Deploy

Kinetica’s vectorized capabilities enable analysts and engineers to analyze and deploy systems quicker than ever. Vectorized algorithms allow for simpler data structures, which means less time engineering the data, more flexibility for exploring the data, and lower compute costs.

Automotive Data Types

Kinetica is the right platform for a variety of real-time spatial and temporal automotive data sources

Vehicle Telemetry Data

Automotive companies collect real-time data from their vehicles’ onboard sensors, including GPS, speed, acceleration, and fuel consumption. This data can be used to monitor vehicle performance, diagnose problems, and improve efficiency.

Traffic and Road Conditions

Automotive companies gather real-time data about traffic congestion, accidents, road closures, and weather conditions to optimize vehicle routing and improve safety.

Driver Behavior Data

Automotive companies use sensors and cameras to monitor driver behavior, such as speed, acceleration, and braking patterns. This data can be used to develop more efficient and safer driving strategies, as well as to improve vehicle design.

Vehicle-to-Vehicle Communication

Automotive companies are exploring the use of real-time communication between vehicles to improve safety and reduce traffic congestion. This includes technologies such as Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication.

Supply Chain Data

Automotive companies use real- time data to manage their supply chain, including tracking inventory levels, monitoring production schedules, and optimizing logistics.

Try Kinetica Now:

Kinetica Cloud is free for projects up to 10GB

Related Resources

Making Sense of Sensor Data

Technology Report

As sensor data grows more complex, legacy data infrastructure struggles to keep pace. A new set of design patterns to unlock maximum value. Get this complimentary report from MIT Technology Review

Talk to Us!

The best way to appreciate the possibilities that Kinetica brings to high-performance real-time analytics is to see it in action.

Contact us, and we’ll give you a tour of Kinetica. We can also help you get started using it with your own data, your own schemas and your own queries.

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