Kinetica As A ServiceOn Azure
Try Kinetica with your Azure account
Get Started for Free
With the free tier (size Extra Small) and pay as you go consumption option, you can get started for free.* As you grow, pay only for what you use. You can suspend and resume the cluster at any time to reduce your costs. And, since it’s billed directly to your Azure account, procurement processes are also simplified.
Azure infrastructure costs not included. Depending on the type and size of Kinetica cluster you want to provision, you will need to make sure you have enough quota for the Standard ESv4 Family vCPUs.
Read the Getting Started Guide in the Blog
Focus on your data, not your infrastructure
Time to Value
Easy to Manage
- Extra Small < 250GB FREE 1 E20s v4 compute nodes, 2 TB storage
- Small 500GB $3.00/hour 1 E48s v4 compute nodes, 4 TB Storage
- Medium 1 TB $6.00/hour 2 E48s v4 compute nodes, 8 TB Storage
- Large 2 TB $12.00/hour 4 E48s v4 compute nodes, 16 TB Storage
* Pricing does not include Azure infrastructure costs. For larger sizes, contact Kinetica directly
- Extra Small < 250GB FREE 1 NV24s v3 compute nodes, 2 TB storage
- Small 500GB $3.00/hour 2 NV24s v3 compute nodes, 4 TB Storage
- Medium 1TB $6.00/hour 4 NV24s v3 compute nodes, 8 TB Storage
Bring Your Own LicenseCustomers with an existing Kinetica license will not incur additional Kinetica license charges, although you will be charged for Azure infrastructure costs.
Provisioning, Management & Maintenance
In Azure, Kinetica’s tiered storage leverages RAM, Premium SSD and Blob Storage to optimize your performance.
Kinetica provides secured access to data and data services by means of role-based access control
Admin & Analysis
Kinetica Workbench enables SQL analysis and administration of your Kinetica cluster.
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.