[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-08-27。"],[[["\u003cp\u003eCommitted Use Discounts (CUDs) for Bigtable offer significantly reduced prices on node usage in exchange for a commitment to a minimum level of spending for one or three years.\u003c/p\u003e\n"],["\u003cp\u003eA one-year commitment provides a 20% discount on the on-demand rate, while a three-year commitment offers a 40% discount on the on-demand rate.\u003c/p\u003e\n"],["\u003cp\u003eThe discount applies to all eligible Bigtable node usage across projects associated with the billing account, regardless of instance or region, but not to storage, backup storage, or network data transfer.\u003c/p\u003e\n"],["\u003cp\u003eWhen purchasing a CUD, you must specify an hourly commitment amount, which, after the discount, becomes the commitment fee billed monthly for the CUD term, and any usage beyond this is charged at the on-demand rate.\u003c/p\u003e\n"],["\u003cp\u003eIt is crucial to carefully calculate the commitment amount based on both past and expected minimum Bigtable node usage, across all regions and projects, as CUDs are non-cancelable once purchased.\u003c/p\u003e\n"]]],[],null,["# Committed use discounts\n=======================\n\nThis document describes spend-based committed use discounts (CUDs) for Bigtable.\n\nCommitted use discounts (CUDs) for Bigtable provide\ndiscounted prices in exchange for your commitment to continuously spend a\nminimum hourly amount on Bigtable capacity for a year or longer.\n\nBigtable spend-based CUDs are ideal when your spending on\nBigtable capacity involves a predictable minimum that you can\ncommit to for at least a year.\n| **Important:** This page explains the new and improved committed use discounts (CUDs) program, which applies to any customers who purchase their first CUDs on or after **July 15, 2025** . Customers can opt in now to get the new CUD experience. For more information, see [Spend-based CUDs program improvements](/docs/cuds-multiprice).\n\nBigtable CUD pricing\n--------------------\n\nBigtable offers two levels of discounts, depending on the\ncommitment period:\n\n- **20% discount**: You get this by committing to a 1-year term. For the duration of your term, you pay the Bigtable CUD 1-year price (consumption model ID A03A-2A56-8086) as your committed hourly spend amount.\n- **40% discount**: You get this by committing to a 3-year term. For the duration of your term, you pay the Bigtable CUD 3-year price (consumption model ID 4F61-4520-4936) as your committed hourly spend amount.\n\nWhen you purchase a commitment, you agree to pay a fixed hourly fee for a one\nor three-year term. Your monthly invoice shows usage charges using the\nCUD [consumption model](/billing/docs/resources/multiprice-cuds)\nprices for usage that falls within your commitment. You're charged $1 for\n$1 worth of commitment fees, and a corresponding credit applies so that the\ncommitment fee is offset for any utilized portion of your commitment.\nFor a full example, see\n[An example Bigtable CUD](#example).\n\nFor any unused portion of your commitment, the fee applies. The result\nis that you pay the flat commitment fee every hour, whether you use the\nservices or not, but commitment fees are then credited back to you for the\nused portions within the commitment amount.\n\nAny expenditure beyond the commitment gets billed at the on-demand rate.\nAs your usage grows, you can purchase additional commitments to receive\ndiscounts on increased expenditures not covered by previous commitments.\n\nThe CUD discount applies to any eligible usage in projects\nassociated with the Cloud Billing account.\n\nIf the on-demand rates change after you purchase a commitment,\nyour commitment fee doesn't change.\n\nThe discount applies to all eligible node usage in Bigtable\nprojects associated with the Cloud Billing account used to purchase the\ncommitment, regardless of instance or region.\n\nEligible resources\n------------------\n\nBigtable CUDs automatically apply to your spending on\nBigtable compute capacity as measured in nodes across projects.\n\nBigtable CUDs do not apply to your spending on\nBigtable storage, backup storage, or network data transfer.\n\nFor a list of applicable SKUs, see [Bigtable CUD Eligible SKUs](/skus/sku-groups/bigtable-cud-eligible-skus).\n\nPurchasing a commitment\n-----------------------\n\n| After your purchase a CUD, you can't cancel your commitment. Make sure the size and duration of your commitment aligns with both your historical and your expected minimum expenditure on Bigtable capacity. For more information, see [Canceling commitments](/docs/cuds-spend-based#canceling_commitments).\n\nTo purchase or manage Bigtable committed use discounts for your\nCloud Billing account, follow the instructions at\n[Purchasing spend-based\ncommitments](/docs/cuds-spend-based#purchasing).\n\nAn example Bigtable CUD scenario\n--------------------------------\n\nIdeally, your commitment represents at least your expected minimum hourly\nexpenditure on Bigtable nodes across your projects\nover the next one or three years.\n\nAs an example, say that you have a Bigtable instance that has\ntwo clusters in different regions: `us-central1` (Iowa) and `us-west2` (Los\nAngeles). The cluster in `us-central1` has 10 nodes and the cluster in\n`us-west2` has 20 nodes.\n\nFrom the [pricing page](/bigtable/pricing), see the price in the column labeled **Cost per node with 1-year committed use discounts** to calculate the\napproximate hourly commitment cost:\n\n- Expenditure in `us-central1`: 10 nodes \\* $0.52 per node per hour = $5.20 per hour\n- Expenditure in `us-west2`: 20 nodes \\* $0.624 per node per hour = $12.48 per hour\n- Total expenditure across all regions: $6.50 + $15.60 = $17.68 per hour ($12,906.40 per month or $154,876.80 per year).\n\nIf you expect to spend that minimum of $17.68 per hour continuously for\nthe next year or more, then you can make a commitment for that amount.\nIn other words, when purchasing the commitment, you enter \"`$17.68`\" as\nthe hourly commitment amount.\n| In the legacy CUDs program, your commitment amount is the on-demand price instead. For more information about the differences between the legacy and new spend-based CUDs program, see [Spend-based CUDs program improvements](/docs/cuds-multiprice).\n\nIf you expect to scale down your clusters sometimes, you can make a commitment\nfor a lower amount. Any expenditure above the commitment amount is charged at\nthe on-demand rate.\n\nAs a basis for comparison, compute the on-demand cost of Bigtable capacity, without the application of any commitment discounts:\n\n- Monthly cost based on on-demand pricing: $22.10 per hour \\* 730 hours = $16,133 per month.\n\nFrom here, you can calculate the monthly costs and savings that you would see\nunder a 1-year commitment with a 20% discount compared to a year of\npaying the full rates:\n\n- Monthly cost of a 1-year commitment, $17.68 per hour \\* 730 hours = $12,906.40 per month\n- Total savings per month: $16,133 - $12,906.40 = $3,226.60\n- Total savings with a 1-year, $22.10/hour commitment: $3,226.60 per month \\* 12 months = **$38,719.20**\n\nYou can apply similar math to calculating the costs and savings of a\n3-year CUD, a 40% discount compared to the on-demand rates:\n\n- Monthly cost of a 3-year, $22.10/hour commitment: 13.26 per hour \\* 730 hours = $9,679.80 per month\n- Total savings per month: $16,133 - $9,679.80 = $6,453.20\n- Total savings with a 3-year, $22.10/hour CUD: $6,453.20 per month \\* 36 months = **$232,315.20**\n\nA commitment that covers your expected minimum Bigtable usage over\nthe years to come can lead to significant savings.\n\nRecommendations for choosing a commitment\n-----------------------------------------\n\nWhen considering the purchase of Bigtable CUDs, keep in mind\nthe following:\n\n- **Projects**: Determine the consistent baseline expenditure per project while calculating total commitment. Consider that production loads usually run 100% of the time, while development or staging environments might run intermittently.\n- **Resources**: If you frequently scale your resources up or down, consider purchasing CUDs only for their baseline predictable usage. If you have instances that you run only for bursts or brief durations, exclude them from your calculations.\n- Your commitment fee applies to every hour during the term of the commitment, regardless of actual usage. Choose your CUD's commitment amount carefully, based on both your historical Bigtable usage and your future expectations. As long as your use of Bigtable capacity stays higher than your committed expenditure level, you will enjoy the maximum possible discount for the length of that commitment.\n\nWhat's next\n-----------\n\n - Read [an overview of Bigtable pricing](/bigtable/pricing).\n - Learn how to [view your CUD reports](/billing/docs/how-to/cud-analysis).\n - Understand savings with [cost breakdown reports](/billing/docs/how-to/cost-breakdown).\n - View the [list of Google Cloud services that offer CUDs](/docs/cuds)."]]
