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Kinetica is a real-time analytics database for the next generation of IoT. Kinetica helps many of the world’s largest companies drive outcomes from IoT data, including including Citibank, Liberty Mutual, Ford, Softbank, NORAD, Kaiser Permanente, and T-Mobile, among others. Kinetica has a rich partner ecosystem, including Dell, HP, IBM, NVIDIA, and Oracle, and is privately held, backed by leading global venture capital firms Canvas Ventures, Citi Ventures, GreatPoint Ventures, and Meritech Capital Partners.

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Big Data Management

KINETICA REDEFINES REAL-TIME ANALYTICS WITH NATIVE LLM INTEGRATION

Kinetica | September 22, 2023

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Kinetica, a renowned speed layer for generative AI and real-time analytics, has recently unveiled a native Large Language Model (LLM) integrated with Kinetica's innovative architecture. This empowers users to perform ad-hoc data analysis on real-time, structured data with the ease of natural language, all without the need for external API calls and without data ever leaving the secure confine...

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KINETICA LAUNCHES ACTIVE ANALYTICS PLATFORM

Kinetica | March 18, 2019

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Kinetica, a leader in active analytics for the Extreme Data Economy, announced the release of the first complete active analytics platform, dramatically simplifying the architecture to deliver smart analytical applications at massive scale....

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KINETICA LAUNCHES INDUSTRY-FIRST ACTIVE ANALYTICS PLATFORM

Kinetica | March 13, 2019

news image

Kinetica, the leader in active analytics for the Extreme Data Economy, announced the release of the first complete active analytics platform, dramatically simplifying the architecture to deliver smart analytical applications at massive scale. The platform unites the key elements of active analytics: historical analytics, streaming analytics, graph analytics, location intelligence, and machine learning-powered analytics. Enterprises use the platform to build smart analytical applications that cap...

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KINETICA PREDICTS AI AND IOT USE CASES WILL DRIVE DEMAND FOR NEXT-GEN DATABASES IN 2018

insideBIGDATA | March 08, 2018

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Kinetica’s CTO and Co–founder Nima Negahban offers some of his top technology predictions for 2018. Today’s analytical workloads require faster query performance, advanced analysis methods, and more frequent data updates. For real-time analysis of massive data sets, particularly for use cases where time and location matter, enterprises are turning to new next-generation databases to explore data faster and uncover new insights. There are four major trends that are driving...

Read More
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Big Data Management

KINETICA REDEFINES REAL-TIME ANALYTICS WITH NATIVE LLM INTEGRATION

Kinetica | September 22, 2023

Kinetica, a renowned speed layer for generative AI and real-time analytics, has recently unveiled a native Large Language Model (LLM) integrated with Kinetica's innovative architecture. This empowers users to perform ad-hoc data analysis on real-time, structured data with the ease of natural language, all without the need for external API calls and without data ever leaving the secure confine...

Read More
news image

KINETICA LAUNCHES ACTIVE ANALYTICS PLATFORM

Kinetica | March 18, 2019

Kinetica, a leader in active analytics for the Extreme Data Economy, announced the release of the first complete active analytics platform, dramatically simplifying the architecture to deliver smart analytical applications at massive scale....

Read More
news image

KINETICA LAUNCHES INDUSTRY-FIRST ACTIVE ANALYTICS PLATFORM

Kinetica | March 13, 2019

Kinetica, the leader in active analytics for the Extreme Data Economy, announced the release of the first complete active analytics platform, dramatically simplifying the architecture to deliver smart analytical applications at massive scale. The platform unites the key elements of active analytics: historical analytics, streaming analytics, graph analytics, location intelligence, and machine learning-powered analytics. Enterprises use the platform to build smart analytical applications that cap...

Read More
news image

KINETICA PREDICTS AI AND IOT USE CASES WILL DRIVE DEMAND FOR NEXT-GEN DATABASES IN 2018

insideBIGDATA | March 08, 2018

Kinetica’s CTO and Co–founder Nima Negahban offers some of his top technology predictions for 2018. Today’s analytical workloads require faster query performance, advanced analysis methods, and more frequent data updates. For real-time analysis of massive data sets, particularly for use cases where time and location matter, enterprises are turning to new next-generation databases to explore data faster and uncover new insights. There are four major trends that are driving...

Read More

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C-Suite On Deck

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Feature market insights and perspectives from top C-Level executives, elite technology influencers and thought leaders from your company here. This signature initiative has garnered immense support...

Contact Us