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Try Kinetica Today

Kinetica Developer Edition is available as a Docker container. It's easy to install and comes complete with pre-loaded examples and datasets.

Spin it up. Try it out.

Or, Try Kinetica in the Cloud

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  1. Get the Container
    curl https://files.kinetica.com/install/kinetica.bat -o kinetica.bat && .\kinetica.bat start

    Requires Docker with at least 8GB of RAM allocated, Windows 10 2017 or later.

    curl https://files.kinetica.com/install/kinetica.sh -o kinetica && chmod u+x kinetica && ./kinetica start

    Requires Docker with at least 8GB of RAM allocated.

  2. Start Kinetica

    The kinetica shell script manages your installation, starts, and stops the database.

    Start Kinetica:
    ./kinetica start
    Stop Kinetica:
    ./kinetica stop
    For more commands and configuration options:
     ./kinetica --help
  3. Open Kinetica Admin

    Administer Kinetica Developer Edition through the Kinetica Management interface. This should be available at localhost:8080/gadmin

  4. Explore the Tutorials
1

Quickstart Guide

Your first step to get up and running with Kinetica. Install, start, import data and run some queries.
2

SQL and Kinetica

Learn how to interact with Kinetica through SQL. Create tables, run queries, and explore some of the most used SQL capabilities.
3

Geospatial

Discover some of the 130 Geospatial functions, and learn how to visualize geospatial data at scale.
4

Graph

Try out the Kinetica Graph API to model relational data as graphs, query relationships, solve network problems and match patterns.
5

User Defined Functions

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

Feature Matrix

How does the Developer Edition compare to Kinetica Enterprise Edition?
  Developer Edition Enterprise Edition
Features
Free for Personal Development Use  
SQL Analytics
Spatial Functions
Graph Server / Solvers
WMS Visualization
Row/Column Level Security
UDFS
JDBC/ODBC
Cluster/Ring Resiliance HA  
Support
Community Support
Enterprise Support  
Support Portal & Knowledge Base  
Ecosystem
Connectors
API Access
Interfaces
GAdmin
Reveal
Active Analytics Workbench (Machine Learning/Model Hosting)  
KAgent  
Computing
Intel/CPU Instance
Single Node Computing
GPU-Enabled Instance  
Cluster Computing  
Packaging
Docker
RPM/Deb  

Get a Demo!

The best way to appreciate the possibilities that Kinetica brings to large-scale geospatial analytics is to see it in action. Try it with your own data, or contact us and we'll show you real examples with fleshed out datasets.