Tiger Data Pricing

Tiger Cloud charges based on consumption. Compute is metered on an hourly basis, and you can scale it up or down at any time. Storage is metered based on your average GB consumption per hour; it grows and shrinks automatically with your data.

So if at the end of the month, your database service has been running for 500 hours, of which 375 are with 2 CPU and 125 with 4 CPU, then your compute cost is (375 x hourly price for 2 CPU) + (125 * hourly price for 4 CPU). Your monthly price for storage is computed similarly. Certain add-on features may incur additional charges to increase functionality – such as HA replicas, IO boost, tiered storage and production support.

Your account console shows your resource usage and dashboards with performance insights, which allows you to closely monitor your services’ performance and any need to scale your services or upgrade your plan.

Your console also shows your month-to-date accrued charges, as well as a forecast of your expected month-end bill. Your previous invoices are also available as PDFs for download in the console.

Compute requirements are highly dependent on the workload. Tiger Cloud is very efficient and generally needs less compute than other databases to deliver the same performance (check out RTA Bench for performance comparisons). The best way to size your needs is to sign-up for a free trial and to test with a realistic workload.

You don’t need to worry about sizing storage. Tiger Cloud just charges by the actual storage used, unlike Amazon RDS or self-managed infrastructure where you pre-provision disk and pay for its allocation. As your data volume grows, we also autoscale IOPS and storage bandwidth to meet those needs (at no additional cost within your plan’s range).