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Kinetica Active Analytics Platform

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Kinetica Active Analytics Platform for the Extreme Data Economy

 

Combine a GPU database, real-time location visualization, and the power of AI

From
Finance
Logistics Finance Retail
To Retail
To Healthcare,
Healthcare Energy Telecom
Data is
the Business.

When extreme data requires companies to act with unprecedented agility,
Kinetica powers business in motion.

Unprecedented Agility On Demand

 

Our GPU-accelerated database is part of an active analytics platform that takes data from
unpredictable sources to deliver lightning-fast analytics.

Analyze at Unparalleled Speed

Dramatically accelerate analysis on billions of rows of data with our in-memory GPU architecture using advanced parallel processing, delivering results in milliseconds and near-linear scalability without the need to index.

Augment AI
with BI

Process & manage BI and AI workloads simultaneously with integrated, streamlined, scalable machine learning workflows to leverage human and AI-driven insight.

Evaluate Data
as it Streams

Ingest and process data at the same time to analyze and visualize perishable data and integrate it with historical data.

Visualize Location-Based Data

Instantly translate location and temporal data into visuals that reveal patterns and opportunities with our interactive, integrated visual dashboard, geospatial capabilities , and in-memory, distributed image processing and rendering.
New White Paper

BI Meets AI

Augmenting Analytics with Artificial Intelligence to Beat the Extreme Data Economy.
Download the white paper
GPU Data Analytics eBook

"Kinetica is very impressive. It does what it claims." - InfoWorld

In a recent independent technical review by InfoWorld, the Kinetica Active Analytics Platform was recognized for excellence with a rare 4.5-star rating and received the InfoWorld Editor’s Choice award. 

 

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Take the Kinetica Challenge!

 

Sometimes benchmarks and marketing copy can sound too good to be true. The best way to appreciate the possibilities that GPU acceleration brings to large-scale analytics is to try it with your own data, your own schemas and your own queries. Experience it for yourself.

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