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 * Product
   
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     * Time-Series & Spatial Analytics
       
       Ideal for tracking objects, IoT, and more
     
     * Real-time Analytics
       
       Ingest & Analyze in Real-time
     
     * Do More with Less
       
       More Power means Lower TCO
     
     * Graph Analytics
       
       Routing and network optimization
     
     * Vectorization
       
       Brute-force compute opens new doors
     
     * Architecture
       
       Under the hood
     
     * SQL GPT
       
       English is the new SQL
   * Deployment Options
     
     * Kinetica Cloud Free
       
       Your very own cloud analytics engine. Free Forever
     
     * Managed Service
       
       Fully Managed Service – Available on Azure and AWS
     
     * Developer Edition
       
       Free for one user and data sizes up to 256GB.
   * Independent Benchmarks
     
     * TPC-DS Benchmarks
     * Time-Series & Spatial Benchmark
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SQL-GPT


GENERATIVE AI POWERED QUERY

Kinetica's Generative AI powered chat capability provides a more intuitive and
interactive way to analyze enterprise data - On a platform that excels at
interactive and ad-hoc analysis.

Read the Blog Announcement »


The U.S. Air Force uses Kinetica SQL-GPT to detect threats in our airspace and
identify anomalies in real-time using natural language.


ASK ANYTHING OF YOUR DATA

With Kinetica, users can ask any question of their proprietary data, even
complex ones that were not previously known, and receive an answer in seconds. 
Together, LLMs with Kinetica remove the limits of data exploration and unlock
the full potential of an organization’s data.



ACCURATE

Kinetica employs a customized LLM that can be fine-tuned for accuracy with
specific enterprise terminology and taxonomies. Kinetica is able to harness
specialized analytic functions such as time-series, graph, geospatial, and
vector search.


FAST

You’ll be shocked at how quickly SQL-GPT is able to answer completely unknown
questions - and without having to build tedious pipelines or engage in extensive
data modeling and tuning.


SECURE

With Kinetica's native LLM, customer data is more secure as inferencing takes
place in-database within a customer's premises or cloud perimeter


INTEGRATED

SQL-GPT in Kinetica integrates with an extensive variety of data platforms and
processing tools which enables you to harness the power of LLMs without
overhauling your data platform

Kinetica is one of the first database companies to integrate generative AI
features within a database
>
Upcoming Webinar: Thursday, September 28, 10am ET
Geospatial meets Generative AI: Simplify Location Intelligence with
SQL+GPTRegister »


BLAZINGLY FAST RESPONSE TIMES
(EVEN WITH UNKNOWN QUESTIONS)

Kinetica's vectorized database architecture keeps up with the ad-hoc nature of
questions generated through conversational query and AI generated SQL

Kinetica is designed from the ground up to leverage the vectorization
capabilities of GPUs and modern CPUs to answer complex queries. Vectorization
unleashes significant performance gains – particularly for ad-hoc queries that
may result in table scans and multi-way joins that often cripple other
databases.

Vectorization in Kinetica »


5x
Faster
than BigQuery
Indepedently Benchmarked

8x
Faster
than Databricks 9.1 LTS (Photon)
Benchmark Suite

13x
Faster
than ClickHouse 21
Indepedently Benchmarked

240x
Faster
than PostGIS
Indepedently Benchmarked

While most analytic databases require data engineering, indexing and tuning to
ensure rapid querying, Kinetica delivers similar performance through native
vectorization



ASK A VARIETY OF QUESTIONS

Kinetica is a multi-genre database enabling you to meet a variety of use-cases
on a single system.


FAST RELATIONAL

At it's core, Kinetica manages data in a columnar relational structure with
tables and columns. It's easy to query data with SQL and connect common
visualization tools.


KEY-VALUE

Data can be accessed as a key-value structure to support high concurrency, low
latency applications and simplify the operationalization of insights at web
scale.


GRAPH

Many geospatial use-cases involve figuring out optimal routing and solving
network topology. Graph functionality in Kinetica makes it easy to work with
spatial relationships.


SPATIAL

Kinetica natively works with points, shapes as WKT, tracks, and labels. There
are over 130 geospatial functions that are available through SQL or the REST
API.


TIME-SERIES

Kinetica is ideal for time-series and real-time data feeds, and supports
windowing to apply aggregate and ranking functions over a period of time, and
keep the picture updated as data evolves


MACHINE LEARNING

Leverage high-speed model inference and feature generation by running popular ML
frameworks containerized in Kinetica.
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.



THE RESULTS YOU'RE LOOKING FOR...

Kinetica’s LLM is capable of deeply understanding your data, the nuances
specific to Kinetica and connected data systems, and the context of how data is
commonly defined in similar industries.

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



TRY SQL-GPT, FREE ON KINETICA CLOUD

Kinetica's conversational query is now available. Try it with your own data, or
with pre-loaded datasets and easy to follow SQL workbooks that make it easy to
get started using generative AI on enterprise data sets.
Tutorial
5 Steps to Using SQL-GPT with Your Data »

Kinetica in the Cloud   Kinetica on your Laptop




EXPERIENCE CONVERSATIONAL QUERY

SQL-GPT in Kinetica provides an easy and intuitive mechanism for business users
(and data analysts) to query and explore data. Kinetica's native vectorized
algorithms work with LLMs to produce fast results and expressive insights into
constantly changing and shifting datasets

WHAT IS A VECTORIZED DATABASE?

In a vectorized query engine, data is stored in fixed-size blocks called
vectors, and query operations are performed on these vectors in parallel, rather
than on individual data elements. This allows the query engine to process
multiple data elements simultaneously, resulting in radically faster query
execution on a smaller compute footprint. Vectorization is made possible by GPUs
and the latest advancements in CPUs, which perform simultaneous calculations on
multiple data elements, greatly accelerating computation-intensive tasks by
allowing them to be processed in parallel across multiple cores or threads.

WHY USE A VECTORIZED DATABASE?

While LLMs can convert natural language to SQL, the speed of response for data
analytics questions is still dependent on the underlying data platforms being
used.

Conventional analytic databases typically require extensive data engineering,
indexing and tuning to enable fast queries, which means the questions must be
known in advance. If the questions are not known in advance, a query may take
hours to run or not complete at all.  

HOW IS DATA STORED IN KINETICA?

Kinetica vectorized columnar architecture enables convergence of multiple modes
of analytics such as time series, spatial and graph that broadens the types of
questions that can easily be answered, such as, "How can we improve the customer
experience considering factors such as seasonality, service locations and
relationships?"

Kinetica is able to ingest massive amounts of streaming data in real-time to
ensure answers represent the most up to date information, such as, “What is the
real-time status of our inventory levels and should we reroute active delivery
vehicles to reduce the chances of products being out of stock?

HOW MUCH DOES THIS FEATURE COST?

There is no additional cost for the ChatGTP integration in Kinetica. Users can
experience this feature for free on Kinetica Cloud or Dev Edition.

Read Story

NEWS ARTICLE

GENERATIVE AI TO MAKE LAUNCH SQL QUERIES SIMPLER

Read Story

NEWS ARTICLE

KINETICA OFFERS ITS OWN LLM FOR SQL QUERIES, CITING SECURITY, PRIVACY CONCERNS

Read Story

NEWS ARTICLE

LOCATION DATA PROFUSION DRIVING CUTTING-EDGE INNOVATION

Read Post

BLOG

ASK ANYTHING OF YOUR DATA

Watch Replay

WEBINAR

MODERNIZING IOT DATA MANAGEMENT & ANALYTICS

Read Post

BLOG

CONVERSATIONAL QUERY WITH CHATGPT AND KINETICA — A HOW-TO GUIDE


BOOK A DEMO!

The best way to appreciate the possibilities that Kinetica brings to
high-performance real-time analytics is to see it in action.

Contact us, and we'll give you a tour of Kinetica. We can also help you get
started using it with your own data, your own schemas and your own queries.



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