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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

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Migrating from Rockset to Kinetica: A How-To Guide

With Rockset being sunsetted by September 30th, many of its customers are left in the lurch, seeking a reliable alternative f ...
  • Hari Subhash
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OpenAI’s Acquisition of Rockset: A Bellwether for the Future of Real-time Enterprise Analytics and Vector Search

The release of ChatGPT marked a significant shift in how people interact with technology by introducing a conversational mode ...
  • Nima Negahban
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Preventing Cyber Attacks: How Kinetica Can Save the Energy Sector Millions of Dollars

Imagine waking up one morning to find that your local gas station has run dry, leaving you stranded without fuel. This was th ...
  • Hari Subhash
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Kinetica, the GPU-powered RAG Engine for Data Copilots, Integrates with NVIDIA NIM

Kinetica, the GPU-powered RAG (Retrieval Augmented Generation) engine, is now integrating deeply with NVIDIA Inference Micros ...
  • Hari Subhash
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Kinetica Confluent a match made in streaming heaven

Every moment, trillions of entities—vehicles, stock prices, drones, weather events, and beyond—are in constant motion. Im ...
  • Hari Subhash
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Kinetica joins the Connect with Confluent Partner Program

We are thrilled to announce that Kinetica has now joined the Connect with Confluent Partner program. This collaboration merge ...
  • Nima Negahban
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How to deploy natural language to SQL on your own data – in just one hour with Kinetica SQL-GPT

You’ve seen how Kinetica enables generative AI to create working SQL queries from natural-language questions, using data se ...
  • Chad Juliano
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The mission to make data conversational

I think one of the most important challenges for organizations today is to use the data they already have more effectively, i ...
  • Chad Juliano
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Towards long-term memory recall with Kinetica, an LLM, and contexts

Prior to the emergence of machine learning, and particularly “deep learning,” I was an ML skeptic.  Judging from wha ...
  • Chad Juliano
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The GPU strikes back: Why the GPU will be the premiere compute device for Analytics not just AI

Since their inception, databases had been designed with the notion of compute being a scarce resource.  So they organize ...
  • Nima Negahban
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Where Matters: The Significance of Location in Vehicle Telemetry Data Analysis

The proliferation of sensors in automobiles has ushered in a new era of data-rich vehicles, offering immense benefits in term ...
  • Chad Meley
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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
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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—tra ...
  • Nima Negahban
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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 capabil ...
  • Chad Meley
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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. Whil ...
  • Linda Stevens
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