In the News

"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."

"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,"

"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."

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

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

"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."

"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."

"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..."

"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."

"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. "

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

"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"

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

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

"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)"

"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. "

"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."

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

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

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

"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."

"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. "

"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."

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

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

"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."

"Recent award recognitions reflecting the unique characteristics of fast-moving spatio-temporal data and the innovations Kinetica is delivering to help customers leverage new design patterns."

" Recent award recognitions reflecting the unique characteristics of fast-moving spatio-temporal data and the innovations Kinetica is delivering to help customers leverage new design patterns"

"Kinetica provides insurance companies with a comprehensive solution to transform their claims management processes."

"When it comes to challenges that need to be overcome when moving to a real-time analytics architecture, the highest ranked concern is dealing with the volume of real-time insights to downstream applications"

"Real-Time Analytics was ranked highest when asked which data architecture would be most valuable to their company over the next five years at 50%"

"Kinetica is experiencing booming demand for its real-time, vectorized, analytic database as businesses fuse and analyze their massive geospatial and time-series data in real-time to support new application areas"

"With Kinetica, as a component in our embedded analytics platform, we can stitch together all relevant data sources to show customers who, what, when, where and how they are connected"

"We're excited to join forces with Kinetica. Kinetica has a track record of enabling our capital markets customers to build highly performant custom time series analytics."

"With Kinetica’s database supporting multiple genres of analytics across graph, time-series, and spatial, we are able to simplify the data stack and increase analytic agility for our clients"

"Much of the magic of the ChatGPT/Kinetica solution comes from the well-designed integration of the two technologies:"

"In this episode of The New Stack Makers podcast, Nima Negahban, CEO of Kinetica, spoke to Heather Joslyn, features editor of The New Stack, about what could come next for companies, especially when generative AI is paired with data analytics."

"Kinetica is powering new location-driven solutions for Liberty Mutual, TD Bank, the NBA, Lockheed Martin, T-Mobile, FAA, Ford and many others."

"Kinetica provides a way for users to directly ask ad hoc questions of proprietary data in a database system—even complex queries not previously developed—and receive answers in seconds without the need to pre-engineer data. "

"Kinetica has the speed built in to handle running these backend analyses on a series of models, ingesting and cleaning up data, and providing analytics"

"T-Mobile leveraged advanced geospatial analytical database Kinetica to gain insights into network performance and customer experience."

"Using conversational queries in an analytic database setting helps reduce query times, improve accuracy, and provide a more intuitive user experience. "

"A tutorial on how to set up a dynamic, real-time routing solution that finds the best path when traffic on each road segment is constantly changing."

"While ChatGPT can convert natural language to SQL, the speed of response for data analytics questions is dependent on the underlying data platform of the organization."

"I was able to ask Nima Negahban, co-founder and CEO at Kinetica, some questions leading up to the release of their new offering."

"Have an analytical conversation with your data using Kinetica’s ChatGPT interface."

"ChatGPT integration makes queries more interactive and conversational, which opens analytics to a wider audience of users and also facilitates more flexibility because data doesn’t have to be pre-optimized for a limited domain of queries."

"While ChatGPT integration with analytic databases will become table stakes for vendors in 2023, the real value will come from rapid insights to complex ad-hoc questions"

"Kinetica is one of the first database companies to integrate ChatGPT or generative AI features within a database"

"Workbench is a SQL notebook system and at the top of every notebook is a little text prompt that lets you ask a question that will generate a SQL block in your notebook,"

"With the new natural language interface to ChatGPT unveiled today, non-technical users can get answers to complex questions written in plain English."

"With its ability to convert natural language questions into SQL queries, the addition of ChatGPT to the high-performance, real-time Kinetica database makes it possible for business users to obtain analytical insights on the fly."

"The promise of ChatGPT integration with data querying is an intriguing one, bringing business users, data workers, and the data itself ever closer with rapid query results"

"With the company’s SQL-ChatGPT integration, data analysis can be conducted in natural language in the Kinetica Cloud"

"Kinetica converges multiple modes of analytics such as time series, spatial, graph, and machine learning that broadens the types of questions that can be answered"

"Kinetica markets a real-time, vectorized database for analyzing and observing time-series and spatial data"

"Window functions allow us to perform calculations on a subset of rows in a table, rather than the entire table."

"Vectorization Makes a Continuously Updated Materialized View Possible"

"Increasingly however, organizations want to make near-real-time decisions on a larger corpus of data. This leads to better fraud prevention, threat detection, fleet management and other use cases arising from the proliferation of sensor and machine data. "

"Telecom providers like T-Mobile are turning to geospatial analytics to help plan deployments and optimize quality of service and coverage."

"Conventional analytic databases are not fully vectorized because they simply have too much tech debt to take advantage of this innovation and vectorize all their operations."

"This workbook contains an end-to-end pipeline that connects to streaming data sources via Kafka, performs spatial computations to detect different events and patterns, and then streams these to an external application."

"Kinetica can be used to accelerate a wide range of analytical tasks, including data transformation, filtering, aggregations (sums, averages, counts), and even machine learning inference."

"Organizations creating the next generation of data driven applications based on sensor and machine data continue to choose Kinetica for its unrivaled real-time analytical and processing power of time-series and geospatial data."

"The value that customers receive from Kinetica is reflected in the doubling of its customer base."

"Organizations that excel at data analytics overcome the science's limitations by embracing a growth mindset"

"Having a free open source product is good. So is having a software-as-a-service (SaaS) offering."

"With Kinetica, a real-time data analytics database, clients can maintain fresh data through shortening the times of data latency and query latency. "

"Spatial thinking will help innovators optimize existing operations and drive long-promised digital transformation in smart cities, connected cars, transparent supply chains, proximity marketing, new energy management techniques, and more."

"The commercial sector saw dozens of spatial analytics applications moved into production in 2022."

"Kinetica integrates machine learning models and algorithms with your data for real-time predictive analytics at scale."

"Reductions in the cost of technology will see more connected devices"

"Emerging Free Forever SaaS models will further make these offerings cost effective and facilitate robust developer communities"