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Kinetica Blog

Nima Negahban | November 14, 2023

Getting answers from your data now: Natural language-to-SQL

Generative AI has raised people’s expectations about how soon they can get answers to the novel questions they pose. ...
Nima Negahban | October 31, 2023

The Future is a Conversation: Democratizing big data analytics with Kinetica

Every so often, there emerges a technological breakthrough that fundamentally shifts the way we interact with the world—transforming mere data points into a narrative that elevates human experience. ...
Chad Meley | October 13, 2023

True Ad-Hoc Analytics: Breaking Free from the Canned Query Constraint

Many database vendors often boast about their support for ad-hoc querying and analytics, but in practice, true ad-hoc capability remains elusive....
Linda Stevens | September 27, 2023

A New Tool for Large GIS Datasets

Today, many GIS users jump out of their systems and use Postgres or SQLServer to run spatial queries on larger datasets....
Chad Meley | September 18, 2023

Ask Anything of Your Data

The desire to query enterprise data using natural language has been a long-standing aspiration....
Chad Meley | August 21, 2023

NVIDIA GPUs: Not Just for Model Training Anymore

In the rapidly evolving landscape of data analytics and artificial intelligence, one technology has emerged as a game-changer: Graphics Processing Units (GPUs)....
Chad Meley | August 18, 2023

Kinetica’s Contribution to Environmental Sustainability: Pioneering Energy Efficiency in the Data Center and in the Field

In an era marked by growing concerns about environmental sustainability, companies across industries are seeking innovative ways to reduce their carbon footprint and contribute positively to the environment....
Linda Stevens | August 10, 2023

Unlock New Insights with Kinetica and ArcGIS

Esri’s ArcGIS is renowned as a robust solution for creating, managing, and analyzing geospatial data....
Chad Meley | July 26, 2023

GPU Accelerated Analytics – A Comparison of Databricks and Kinetica

GPUs have continued to rise in interest for organizations due to their unparalleled parallel processing power....
Dan Graham | July 13, 2023

Time Series Analytics

There are useful timestamp functions in SQL, Python, and other languages.  But, time series analysis is quite different....