In the News

"An advanced conversational AI powered by Kinetica, SQL-GPT allows everyday language, rather than SQL commands, to be used for complex data queries. It offers unmatched speed, accuracy and scalability across 5G and OpenRAN environments, providing real-time data analysis that accelerates decision-making."

"Kinetica provides a distributed, columnar, real-time analytical database offering. It makes heavy use of vector processing and SIMD instructions, and the vendor describes its basis in vector processing as the key to its offering’s achieving query performance at scale."

"As generative solutions mature in the enterprise, the need for a real-time retrieval engine that can power RAG for structured, unstructured, and graph data will be critical. We present an alternative to node2vec, a new and innovative approach for flattening knowledge graph features into a 1-dimensional vector space (embedding model), so popular vector similarity search algos like cosine similarity can be executed on knowledge graph nodes."

"As a member of the Nvidia AI partner ecosystem, Kinetica is excited to be recognized as a first-mover in the AI Application Category, for deploying NIM to power generative AI inference. NIM provides containers to self-host GPU-accelerated inferencing microservices for pretrained and customized AI models across clouds, data centers, and workstations. Upon deployment with a single command, NIM microservices expose industry-standard APIs for simple integration into AI applications, development frameworks, and workflows."

"Kinetica got its start building a GPU-powered database to serve fast SQL queries and visualizations for US government and military clients. But with a pair of announcements at Nvidia’s GTC show last week, the company is showing it’s prepared for the coming wave of generative AI applications, particularly those utilizing retrieval augmented generation (RAG) techniques to tap unique data sources."

" At NVIDIA GTC Kinetica unveiled the industry’s only real-time vector similarity search engine that can ingest vector embeddings 5X faster than the previous market leader, based on the popular VectorDBBench benchmark."

"Kinetica DB Inc., which sells a real-time analytics database for time-series and spatial workloads, took to the stage at Nvidia Corp.’s GTC conference today to unveil a new generative artificial intelligence tool for enterprise customers that delivers big advantages for retrieval-augmented generation workloads."

"Apache Lucene, Datastax, Faiss, Kinetica, Milvus, Redis, and Weaviate are among the vector search providers working with NVIDIA NeMo Retriever microservices to power responsive RAG capabilities for enterprises."

"We are thrilled to announce that Kinetica has now joined the Connect with Confluent Partner program. This collaboration merges the unparalleled speed of Kinetica’s GPU-accelerated database with the data streaming capabilities of Confluent Cloud, delivering insights on high-velocity data streams in mere seconds."

"Kinetica, the real-time database for analytics and generative AI, announced the availability of a Quick Start for deploying natural language to SQL on enterprise data. This Quick Start is for organizations that want to experience ad-hoc data analysis on real-time, structured data using an LLM that accurately and securely converts natural language to SQL and returns quick, conversational answers."

"One of the primary drivers behind the adoption of GPU database architectures is their remarkable speed and efficiency."

"Most of the stuff we see around LLMs today is low-speed data; it’s very static, and it hasn’t been updated. That’s something I think we’re going to see develop over the next 24 months."

"To harness the full potential of vehicle telematics data, a database should effectively capture and integrate both time-series and spatial elements"

"LLMs – the GPT series and others – are the driving force of not just individual-specific tasks but also massive business operations"

"LLMs for language-to-SQL will move in-database to protect sensitive data when utilizing these LLMs, addressing one of the primary concerns surrounding data privacy and security."

"English will replace SQL as the lingua-franca of business analysts"

"With its specific telecommunications platform, users can ask complex questions and visualize and interact with billions of data points on a map."

"Kinetica's SQL-GPT for Telco has undergone rigorous fine-tuning to understand and respond to the unique data sets and industry-specific vernacular used in the telecommunications sector,"

"Imagine an enterprise ecosystem where conversing with your data feels as natural as chatting with a trusted colleague"

"inetica handles vast real-time data, while NL2SQL simplifies querying, enabling non-technical staff to extract insights effortlessly. This pairing accelerates decision-making, aids infrastructure planning, and swiftly adapts strategies in the competitive telecom landscape."

"This massive acceleration empowers telcos to analyze and act on emerging network issues in near real-time before customers are impacted."

"ideal for real-time analysis on large, streaming spatial datasets, Kinetica’s suite of spatial and time-series functions makes it easy to do time-series and spatial processing in-database"

"Kinetica’s SQL-GPT for Telco has undergone rigorous fine-tuning to understand and respond to the unique data sets and industry-specific vernacular used in the telecommunications sector."

"The Large Language Model (LLM) utilized is native to Kinetica, ensuring robust security measures that address concerns often associated with public LLMs, like OpenAI."

"Solutions Review is proud to present the 5th annual INSIGHT JAM LIVE, a week-long celebration of enterprise technology. From December December 5 — 8th, 2023"

"Kinetica’s ASOF join capability, allowing the correlation of different car sensor readings with offset timestamps across a staggering 8,000 tables of individual sensor reading time-series data feeds, set it apart from competitors and secured the deal."

"AI empowers a broad set of users to discover new and exciting insights. Here are three ways AI is changing how enterprises manage their data."

"Generative AI is beginning to impact the analysis of structured enterprise data. It enables the conversion of natural language queries to structured query language (SQL) and facilitates vector similarity search to uncover valuable insights previously buried in the data"

"Kinetica is a well engineered software product that functions as advertised. The craftsmanship of its makers is evident in its function as well as in the confident and effective technical support"

"These developments, both individually groundbreaking, have intertwined to democratize complex spatial and time-series analysis, making it accessible to a broader spectrum of data professionals than ever before."

" The company closely works with government agencies like United States Postal Service (USPS) and Defense Advanced Research Projects Agency (DARPA) while also catering to the private sector."

"Kinetica did more than position its database for GenAI data engineering. It also integrated a ChatGPT-like interface to its vector database, natively handling queries in natural language and converting them to SQL on the fly."

"When you pair large language models with database engines geared for this new world of servers, the need for performance pre-optimization vanishes."

"Kinetica leverages a concept called retrieval-augmented generation (RAG) to interpret a natural language request whose subjects, verbs and objects can be mapped to symbols in a tabular, time-series, or geospatial database. "

"GenAI blew up the pressure on data engineers, making it "untenable" for them to build pipelines for a growing number of queries. That's when Kinetica saw a significant opportunity and seized it."

"Generative AI plays two parts in the real-time space. One is acting as a co-pilot for users, where it unlocks a whole new level of efficiency and insight for a much broader set of users. The second part of that is it’s going to change the compute requirements of the analytic ecosystem..."

"The folks we’re talking to are fixated on having complete control,"

"Join host Eric Kavanagh as he delves into the fascinating world of geospatial data. Eric is joined by two esteemed experts in the field: Eugene Burke, a data strategy leader, and Nima Negahban, the CEO of Kinetica."

"In addition to being more secure, Kinetica’s native LLM is tailored to its syntax and industry data definitions such as telecommunications, financial services, automotive, logistics and others, creating more reliable and accurate SQL generation"

"Kinetica continues to expand the artificial intelligence capabilities of its high-performance analytics database, unveiling a new native large language model this week that the company says allows users to perform rapid, ad-hoc data analysis on real-time, structured data using natural language."

"Public LLMs—such as Open AI’s GPT-3.5—introduce a variety of privacy and security concerns for enterprises dealing with highly sensitive data. Kinetica’s native LLM, dubbed SQL-GPT, is engineered to keep data within the customer’s environment and network perimeter"

"This unique feature ensures that users can seamlessly interact with geospatial data, making complex spatial data queries more accessible and efficient. "

"Kinetica's self-developed large language model, designed to enable SQL queries from natural language prompts in its relational database, targets security-sensitive customers including US government defense organizations."

"The U.S. Air Force has been working with Kinetica, leveraging advanced analytics on sensor data to quickly identify and respond to potential threats, helping to keep the skies safe and secure for all users of the national airspace system. "

"The need to optimize the processing of those queries requires a database that was designed from the ground up to make the most efficient use of costly graphical processor units (GPUs)"

"This is an add-on feature for folks who want the best accuracy and a full guarantee that no metadata leaves their perimeter,"

"Kinetica’s Spatio-Temporal Analytics offers a cutting-edge framework designed to handle the complexities of space and time data with unmatched precision."

"Generative AI tools like ChatGPT are not limited to working with rich media like language, images, audio, and video; they can also be effectively applied to structured enterprise data."

"Vector similarity search is a powerful generative AI technique that can be applied to tabular data to uncover new insights and patterns. "

"It makes a lot of sense that the two most transformational types of initiatives—real time and AI/ML—are on the top."

"I spoke with Nima Negahban, CEO of Kinetica, about the role of generative AI in optimizing the management of a data repository."

"Nima Negahban, Co-Founder and CEO of Kinetica, discusses the evolution of data towards real-time data and how this is being used by enterprises for a competitive advantage."

"Kinetica’s technology has evolved with the proliferation of connected devices and sensors that have advanced from taking readings over time to taking readings over space and time."

"Industry experts have praised the Kinetica Cloud environment for its user experience and analytics workbench. "

"The free iteration of Kinetica’s platform enables enterprises to take advantage of full Kinetica database functionality, without increasing costs, for up to 10GB of data. "

"No other analytic database offers this pricing model with free storage and compute, and no expiration date."

"Kinetica applies an innovative compute paradigm, commonly referred to as vectorization, to radically reduce the complexity and increase the scale and performance of spatiotemporal workloads."

"Kinetica Cloud Free Forever complements existing Kinetica deployment options, including Developer Edition, deploying Kinetica through the AWS and Azure Marketplaces as a managed service"

"No other analytic database offers this pricing model with free storage and compute, and no expiration date. "

"Kinetica has announced a free version of Kinetica Cloud where anyone can sign up instantly to experience Kinetica’s generative AI capabilities to analyze real-time data."