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 Edition offering on Microsoft Azure Marketplace.
Launching On Azure:
To launch OmniSci on Microsoft Azure, you configure a GPU-enabled instance.
- Log in to you Microsoft Azure portal.
- On the left side menu, create a Resource group, or use one that your organization has created.
- On the left side menu, click Virtual machines, and then click Add.
- Then complete your Azure-specific configuration with steps mentioned here.
Now, follow standard OmniSci installation instructions for your Linux distribution and installation method.
Check out the OmniSci offering on Azure marketplace for Enterprise Edition BYOL
- 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.
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
* Tutorial - Using OmniSci as Data Source for Power BI
* 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