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Kinetica

Table of Contents

Kinetica is a real-time GPU-accelerated analytic database for big data. Kinetica leverages GPUs and modern many-core CPUs to achieve the right performance for generative AI, spatial, time-series, OLAP, and Graph related queries. 

Key features of Kinetica include its ability to ingest, process, and analyze data from various sources, including structured, semi-structured, and unstructured data. It supports SQL, geospatial, and machine learning analytics.

Kinetica is commonly used in industries such as retail, finance, and government, where real-time analytics on large datasets are relevant for driving business decisions. 

In contrast to Kinetica, CARTO connects directly to your data warehouse so you can run queries and spatial analytics natively in the cloud. This is a way to avoid the cost of expensive GPU server-based infrastructures and eliminate time spent on data transfers or complex ETL.

Table of Contents

Kinetica

Kinetica is a real-time GPU-accelerated analytic database for big data. Kinetica leverages GPUs and modern many-core CPUs to achieve the right performance for generative AI, spatial, time-series, OLAP, and Graph related queries. 

Key features of Kinetica include its ability to ingest, process, and analyze data from various sources, including structured, semi-structured, and unstructured data. It supports SQL, geospatial, and machine learning analytics.

Kinetica is commonly used in industries such as retail, finance, and government, where real-time analytics on large datasets are relevant for driving business decisions. 

In contrast to Kinetica, CARTO connects directly to your data warehouse so you can run queries and spatial analytics natively in the cloud. This is a way to avoid the cost of expensive GPU server-based infrastructures and eliminate time spent on data transfers or complex ETL.

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