Docker

About This Topic

OmniSci is the GPU-accelerated visual analytics platform for querying billions of rows with zero latency. Docker provides all-in-one containers with all necessary drivers and libraries installed to build upon. Here we are providing instructions for installing OmniSci Enterprise and Open Source on Docker for CPU and GPU.

Curated Content

OmniSci is the pioneer in GPU accelerated analytics purpose-build for large production workloads. It enables you to query and visualize billions of data rows within milliseconds using the Enterprise and Open Source offerings. The Open Source options do not require a license, and do not include OmniSci Immerse.

Launching on Docker
Open a new terminal window and enter the following command:


docker run -d -v $HOME/omnisci-docker-storage:/omnisci-storage -p 6273-6280:6273-6280 omnisci/omnisci-ee-cpu

When the installation is complete, Docker runs the OmniSci server and OmniSci web server automatically.

Enter Your License Key

Validate your OmniSci instance with your license key.

  1. Copy your license key from the registration email message.
    If you have not received your license key, contact your Sales Representative or register for your 30-day trial here.
  2. Connect to Immerse using a web browser connected to your host machine on port 6273. For example, http://omnisci.mycompany.com:6273.
  3. When prompted, paste your license key in the text box and click Apply.
  4. Click Connect to start using OmniSci.

Also check out more ways to use OmniSci with Docker here.

Installation Requirements
Operating Systems

  • CentOS/RHEL 7.0 or later
  • Ubuntu 16.04 or later

NVIDIA hardware and software (for GPU installs only)

  • Hardware: Volta, Pascal, or Kepler series GPU cards. OmniSci recommends that each GPU card in a server or distributed environment be of the same series.
  • Software: NVIDIA CUDA Drivers, version 410.48 or later. Run nvidia-smi to determine the currently running driver.

For more information, click here.


Support

OmniSci will provide support through email on a best effort basis, limited to basic operation of the software.

  • Installation: Refer to any additional instructions to get started with OmniSci on Google Cloud.
  • Forum: You can join our forum to connect with experts, learn tips and tricks, and ask questions.
  • Datasets: Here are some sample datasets that you can use to try the OmniSci platform.

            1. Yelp business data

            2. NFL Dataset

            3. Ford GoBike

Resources

Blog - Check out the NFL Big Data Bowl insights we gathered in a few simple steps using the OmniSci Cloud experience
Blog - Improving Connected Car Testing With Vehicle Telematics Analysis