Kinetica

Benchmarks are good, but independent benchmarks are better. 😏 Radiant Advisors completed the industry standard TPC-DS benchmark comparing Kinetica against other leading analytical databases...and found that Kinetica outperformed overall! (5x faster than #BigQuery for example) Check out the results of this, and other benchmarks, for yourself: https://lnkd.in/ecccnbp9 #tpcds #realtimeolap #realtimedatabase #gpudatabase

Migrating data from one database to another is a major challenge in enterprise settings, and it’s a pain point many of many of our customers face, when moving to Kinetica. This upcoming webinar hosted by RosettaDB addresses this very issue head-on 👊. Webinar: Automating Schema & Data Migration with RosettaDB and Kinetica Learn how you can leverage RosettaDB, Git and GitHub Actions to effortlessly move data to Kinetica with robust schema management. 📅 Date and Time: Tuesday, July 9th, 1:00 PM EST 🔗 Register here: https://lnkd.in/gEWxRAHV

Hey Rockset users 👋! Kinetica is the ultimate real-time database for complex analytic workloads. Transitioning your data to Kinetica is seamless, requiring just a few lines of SQL and only minutes to set up. Our platform leverages GPU acceleration to handle OLAP, spatial, time series, graph, and vector analytics with unparalleled speed and efficiency. Try us out: https://lnkd.in/eCJ2aX6x

Kinetica has once again been included in this year's DBTA 100! 🥳 Database Trends and Applications publishes an annual list of 100 forward-thinking companies seeking to expand what’s possible with data for their customers. See the full list: https://lnkd.in/gbpMB4Jr #GPUdatabase #DBTA100

Kinetica running on Dell Technologies and NVIDIA hardware provides crucial speed, scale & native integration with edge devices like #Jetson required to bring processing power closer to the data source! 👊 #edgecomputing #edgeai #realtimeanalytics #multicloud

Are GPUs poised to usher in a new 'golden era' for data analytics? Recent announcements in the market seem to indicate a resounding 'Yes!' "For analytics, the #GPU is going to really start asserting its dominance, the way it already has for AI training. AI training is not so data-heavy, but very compute-heavy. Now with analytics, the GPU has all the necessary components to be able to marry the data with the compute."  Nima Negahban, Kinetica founder and CEO, shares his thoughts on this increasingly relevant topic. https://lnkd.in/eR-CGJqQ

We are making it possible to build powerful 💪 data copilots that communicate with enterprise data using English. https://lnkd.in/e8eKKdGp

Last week we announced integration with NVIDIA Inference Microservices (NIM) 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 #genAI applications that can converse with and extract insights from enterprise data. In this tutorial, we demonstrate how to create a #cybersecurity chatbot that processes high-velocity network traffic data & various forms of cyber threat detection data as well as documents containing information on different types of attacks, network protocols, and indicators of atypical usage - to search for suspicious activity related to a recent cyber attack. 🕵♂️ 📌 Check it out: https://lnkd.in/eK36BrpG #vectorsearch #vectordb #RAG #LLM #chatbot #copilot #cyberattack #gpudb

If you're in #NYC 🗽 this week - consider stopping by the Dell Technologies #GenAI ISV Forum tomorrow June 11th & Thursday June 12th at the Dell Customer Solution Center. Kinetica is privileged to be a member of the Dell Technologies AI/GenAI partner ecosystem and sponsor for this event. Registration closes at 3pm EST today! ⬇ https://lnkd.in/eSHQEUJE