Up to 3 clusters. Start small and scale up as you need.
*description below
Unlocks larger cluster sizes with more compute power to scale and meet your data needs.
per credit
As your analytics needs scale, we scale with you.
for volume discounts
Credit consumption is based on the amount of compute used. You choose the size of your cluster (larger clusters use more compute per second). Each cluster has a corresponding consumption rate of credits which is billed by the second with a one minute minimum.
per credit
Credits consumed per hour
FREE
(Max 3)
2 Credits per hour
4 Credits per hour
8 Credits per hour
16 Credits per hour
32 Credits per hour
64 Credits per hour
Starburst Galaxy is used for a variety of use cases. Included below are two examples of usage.
Get quick answers in your analytics tool of choice.
per day
High concurrency petabyte-scale analytics
per day
Starburst Galaxy is available on AWS, Microsoft Azure and Google Cloud.
Yes, you can sign up on the AWS Marketplace, Azure Marketplace and the Google Cloud Marketplace.
Starburst Galaxy will connect to your data from the same region for AWS, Google Cloud & Azure to minimize data transfer costs. We don’t deploy the software into your environment to provide the full SaaS experience and take management, security patches and upgrades off your plate. If you are looking to deploy Starburst in your own VPC you should take a look at our self managed Starburst Enterprise offering.
Starburst Galaxy is managed and maintained by Starburst available on AWS, Microsoft Azure and Google Cloud. In comparison, Starburst Enterprise can run on-premise and in AWS, Azure, Google Cloud, and Red Hat Openshift, but are managed and maintained by the customer.
As Starburst Galaxy is a fully-managed offering, patching and upgrades are handled seamlessly providing you instantly with the latest features and performance improvements. However, Starburst Galaxy’s level of customization and configuration will be limited in comparison to Starburst Enterprise.
There is no charge for additional users.
Pricing is fully usage based. You can easily change your cluster sizes at any time. We recommend starting with a smaller size cluster and moving up to a larger size as your SLAs, concurrency or workloads require.