Kinetica Developer Edition
Kinetica can be quickly installed and run on your local machine as a Docker container. The Developer Edition has most of the essential core functionality of Kinetica, and comes complete with pre-loaded examples and datasets.
Follow the steps below:
-
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.
-
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
-
Open Kinetica Admin
Access
localhost:8080/gadmin
using your browser to set your password. -
Launch Workbench
Workbench is an interactive notebook environment for querying, analyzing and visualizing your data with SQL. You can launch it via your browser using the following link
localhost:8000/workbench/
. The default username isadmin
.
Feature Matrix
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 | ||
Workbench | ||
KAgent | ||
Computing | ||
Intel/CPU Instance | ||
Single Node Computing | ||
GPU-Enabled Instance | ||
Cluster Computing | ||
Packaging | ||
Docker | ||
RPM/Deb |
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.