The best way to learn it is to try it!

There are two options to get you started with Kinetica

Developer Edition

Available as a Docker container, Kinetica Developer Edition can be run on a personal computer. It allows you to experience most of the features of Kinetica, but doesn't include some of the enterprise features such as GPU capabilities, distributed data, or HA. Developer Edition is managed with GAdmin, the legacy interface for Kinetica.

Get Developer Edition

Get Started in the Cloud

Currently available on Azure. Kinetica Managed Service runs in the cloud and is a fully featured version of Kinetica. Manage and work with data through the new Kinetica Workbench interface. Licenses for data sets up to 256GB of data are free, and you can upgrade easily when ready. Vendor infrastructure prices still apply.

Try Kinetica in the Cloud

Get Oriented

These easy guides and courses will help you orient yourself with many of the key capabilities of Kinetica

Quickstart Guide

Your first step to get up and running with Kinetica. Install, start, import data and run some queries.

SQL and Kinetica

Learn how to interact with Kinetica through SQL. Create tables, run queries, and explore some of the most used SQL capabilities.

Geospatial

Discover some of the 130 Geospatial functions, and learn how to visualize geospatial data at scale.

Graph

Try out the Kinetica Graph API to model relational data as graphs, query relationships, solve network problems and match patterns.

User Defined Functions

Similar to stored procedures, UDFs can be written in Python (for this tutorial) or Java

Demos

Build realtime data pipelines and analytical workflows using fully reproducible sample code.

Prettier Trips

Modern mapping tools now give us options — avoiding tolls, avoiding highways, How can we build our own routing system that optimizes on the factors we deem important? Perhaps we want the most scenic route home, or the most well-lit?

Real-time Risk

Learn how to use Kinetica to monitor risk - by combining streaming data from market feeds, with historical data from portfolio holdings to create a continuously updated picture of risk.

See more examples in our Github Repo

Join us on Slack

Ask questions, get answers in our community slack channel

Join the Kinetica Community Slack

We also keep an eye on Stack Overflow for questions tagged with Kinetica

Client Libraries

Build applications on Kinetica using these native API's

C++

API Reference

Python Bindings

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