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Migrating from Rockset to Kinetica: A How-To Guide

By Hari Subhash | June 27, 2024

With Rockset being sunsetted by September 30th, many of its customers are left in the lurch, seeking a reliable alternative for their real-time data analytics needs. Kinetica stands out as the optimal choice, engineered specifically for real-time data analytics. Why Choose Kinetica for Your Rockset Migration? Kinetica leverages GPU acceleration to ingest millions of records…

OpenAI’s Acquisition of Rockset: A Bellwether for the Future of Real-time Enterprise Analytics and Vector Search

By Nima Negahban | June 24, 2024

The release of ChatGPT marked a significant shift in how people interact with technology by introducing a conversational mode of inquiry using natural language to surface insights. This trend is now extending to enterprise analytics, as evidenced by OpenAI’s acquisition of Rockset. The trend is clear: traditional BI tools and data science languages are giving…

Preventing Cyber Attacks: How Kinetica Can Save the Energy Sector Millions of Dollars

By Hari Subhash | June 21, 2024

Imagine waking up one morning to find that your local gas station has run dry, leaving you stranded without fuel. This was the harsh reality for millions of Americans in May 2021, when the Colonial Pipeline ransomware attack disrupted the fuel supply across the Eastern United States. DarkSide, a group of hackers, infiltrated the pipeline’s systems, causing widespread panic and fuel shortages. This incident highlights the growing vulnerability of our energy infrastructure to cyberattacks.

Kinetica, the GPU-powered RAG Engine for Data Copilots, Integrates with NVIDIA NIM

By Hari Subhash | June 2, 2024

Kinetica, the GPU-powered RAG (Retrieval Augmented Generation) engine, is now integrating deeply with NVIDIA Inference Microservices for embedding generation and LLM inference. This integration allows users to invoke embedding and inferencing models provided by NIM directly within Kinetica, simplifying the development of production-ready generative AI applications that can converse with and extract insights from enterprise…

Kinetica 🤝 Confluent a match made in streaming heaven

By Hari Subhash | February 6, 2024

Every moment, trillions of entities—vehicles, stock prices, drones, weather events, and beyond—are in constant motion. Imagine the vast opportunities and insights we could uncover by monitoring these objects and detecting pivotal events as they unfold, in real time. Such a task demands an analytical engine that can ingest high velocity data streams, execute sophisticated queries…

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