Skip to content

Kinetica as a Servicein the Cloud

Vectorized database optimized for geospatial and time-series applications – available on AWS and Microsoft Azure.
kinetica_aws_azure1
"Kinetica's fully vectorized database on Microsoft Azure Marketplace significantly outperforms traditional cloud databases for big data analytics"

Get Started

With pay as you go consumption option, you can get up and running quickly in your Azure account.  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.

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.

First, read the Getting Started Guide in the Blog

Start Kinetica with your Azure account

* Kinetica also supports the Azure hybrid cloud via Azure Stack HCI

Get Started

With the AWS Marketplace offer and pay as you go consumption option, you can get up and running quickly in your AWS account. 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 AWS account, procurement processes are also simplified.

Note: 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 required instances and infrastructure.

First, read the Getting Started Guide for AWS

Start Kinetica with your AWS account

Focus on your data, not your infrastructure

Simplified deployment and management – so you can accelerate your analytics

Time to Value

No need to worry about infrastructure or configuration. The provisioning process simplifies setup will enable you to be up and running with Kinetica within an hour.

Easy to Manage

Kinetica as a service provides hands-off administration. Provisioned into your cloud account, you can monitor and administer Kinetica as a standard cloud resource.

Flexible Pricing

The simple pay-as-you-go pricing model allows you to pay only for what you use. Kinetica is billed to your subscription to streamline procurement.

Azure Deployment Options

Choose from a set of pre-defined deployments optimized by Kinetica. Kinetica license fees are based on your hourly usage and the size of the cluster.
Vectorized CPU Cluster Pricing
  • Extra Small ** < 250GB $1.50/hour 1 E16s v4 compute node
  • Small 500GB $3.00/hour 2 E16s v4 compute nodes
  • Medium 1 TB $6.00/hour 4 E16s v4 compute nodes
  • Larger sizes, please Contact Us
GPU-Accelerated Cluster Pricing
  • Extra Small < 250GB $1.50/hour 1 NV24s v3 compute nodes
  • Small 500GB $3.00/hour 2 NV24s v3 compute nodes
  • Medium 1TB $6.00/hour 4 NV24s v3 compute nodes

* Pricing does not include Azure infrastructure costs.

** The Recommended Hot Data Size is a rough estimation of the amount of data at a time that can be efficiently used in queries without decreasing performance. However, this will also greatly depend on the size & complexity of the queries issued. Each increase in size will double the performance for most use cases. The total data capacity is unlimited through the use of Azure Blob Storage. See the documentation for more details on performance, specifications, and costs.

AWS Deployment Options

Choose from a set of pre-defined deployments optimized by Kinetica. Kinetica license fees are based on your hourly usage and the size of the cluster.
Vectorized CPU Cluster Pricing
  • Extra Small ** < 250GB $1.50/hour 1 r5.4xlarge compute nodes
  • Small 500GB $3.00/hour 2 r5.4xlarge compute nodes
  • Medium 1 TB $6.00/hour 4 r5.4xlarge compute nodes
  • Larger sizes, please Contact Us
GPU-Accelerated Cluster Pricing
  • Extra Small < 250GB $1.50/hour 1 g3.8xlarge compute nodes
  • Small 500GB $3.00/hour 2 g3.8xlarge compute nodes
  • Medium 1TB $6.00/hour 4 g3.8xlarge compute nodes

* Pricing does not include AWS infrastructure costs. For larger sizes, contact Kinetica directly

** The Recommended Hot Data Size is a rough estimation of the amount of data at a time that can be efficiently used in queries without decreasing performance. However, this will also greatly depend on the size & complexity of the queries issued. Each increase in size will double the performance for most use cases. The total data capacity is unlimited through the use of AWS S3 Storage. See the documentation for more details on performance, specifications, and costs.

Book a Demo!

Sometimes marketing copy can sound too good to be true. The best way to appreciate the possibilities that Kinetica brings to large-scale geospatial analytics is to see it in action, or try it with your own data, your own schemas and your own queries.

Contact us, and we can set you up with a demo and a trial environment for you to experience it for yourself.