What's New
Go to:The data connectivity world is changing rapidly, with a firehose of data streaming in from devices, people, and channels. How can organizations act on all of that data? We created Kinetica for those competitive organizations who need to leverage big, fast, data in order to remain leaders in their industry. How did Kinetica come about…
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In the press
January 4, 2024
"One of the primary drivers behind the adoption of GPU database architectures is their remarkable speed and efficiency."
January 4, 2024
"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."
December 28, 2023
"To harness the full potential of vehicle telematics data, a database should effectively capture and integrate both time-series and spatial elements"
December 11, 2023
"With its specific telecommunications platform, users can ask complex questions and visualize and interact with billions of data points on a map."
December 11, 2023
"Imagine an enterprise ecosystem where conversing with your data feels as natural as chatting with a trusted colleague"
December 11, 2023
"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."
December 8, 2023
"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"
December 6, 2023
"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."
December 1, 2023
"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"