Each cluster can be scaled in single-node increments from 1-128. Additionally, each Engine can scale from 1-10 clusters to address concurrency requirements.
Pay for FBUs (Firebolt Units) consumed with second accuracy.
Start with a single node ‘S’ type engine and scale in one-node increments up to 128.
Firebolt Unit is a normalized measurement of consumption. FBU normalizes consumption management irrespective of node type, number of nodes, number of clusters, duration of consumption, etc. Thanks to Firebolt’s multidimensional scaling, per-second billing, and auto-stop/start capabilities, compute consumption can be a fraction of a minute. FBU eliminates the need to keep track of individual node types, nodes, and the number of clusters. There’s no binding to specific instance types, so you are free to use pre-paid credits on any node type.
While FBUs measure consumption, the performance profile of a workload depends on the engine topology.
Each node type consumes a specified number of FBUs per hour. Compute consumption is billed in one-second increments. For example, a type ‘M’ node consumes 16 FBUs per hour. The same node running for one minute will consume FBU calculated as such: Consumed FBU = (Available FBU per hour / 3600) x ( 1 x 60 seconds) = (16/3600) x 60 = 0.27 FBUs.
Consumption starts when the engine endpoint is available for querying.
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Yes, commitment based discounts are available. Contact our sales team for more information.
Firebolt provides multidimensional scaling to help right-size workloads. Autostop and Autostart are features that help reduce costs by eliminating idle time. Firebolt also provides global visibility of consumption and costs through built-in organizational governance and account-level consumption breakdown.
Firebolt provides engine consumption and spend information in the Web UI. Additionally, granular engine-level consumption can be found via the information_schema.engine_metering_history view that details the hourly consumption of all the engines within an account. Users can also drill down into how the topology of their engines (node type, number of nodes and number of clusters) was modified over time, providing visibility into the FBU consumption of their engines.