各エディションに割り当てられた機能は時間の経過とともに変更される可能性があるため、特定機能へのアクセスを制限するためにエディション階層を使用しないでください。たとえば、BigQuery ML へのアクセスを禁止する方法として、プロジェクトを Standard エディションの予約に割り当てないでください。
[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["わかりにくい","hardToUnderstand","thumb-down"],["情報またはサンプルコードが不正確","incorrectInformationOrSampleCode","thumb-down"],["必要な情報 / サンプルがない","missingTheInformationSamplesINeed","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["その他","otherDown","thumb-down"]],["最終更新日 2025-09-03 UTC。"],[[["\u003cp\u003eBigQuery offers three editions (Standard, Enterprise, and Enterprise Plus) and an on-demand pricing model to accommodate various workload types and feature needs, which you can enable when you reserve capacity.\u003c/p\u003e\n"],["\u003cp\u003eEach BigQuery edition provides a unique set of features and capabilities at different price points, such as compliance controls, BI acceleration, workload management, and more, allowing organizations to choose the most suitable option for their needs.\u003c/p\u003e\n"],["\u003cp\u003eBigQuery editions determine compute power and available features, but datasets can be queried regardless of storage methods, as long as the chosen edition supports the desired capabilities, where each edition has specific admin control features.\u003c/p\u003e\n"],["\u003cp\u003eFeatures assigned to each edition can change over time, so using edition tiers to manage feature access is not recommended, and you should not assign projects to Standard editions to restrict access to certain features.\u003c/p\u003e\n"],["\u003cp\u003eEnterprise and Enterprise Plus editions allow for customer-managed encryption keys, while Standard edition only offers Google-managed encryption keys, and they all have different access to different features.\u003c/p\u003e\n"]]],[],null,["# Understand BigQuery editions\n\nUnderstand\nBigQuery editions\n============================\n\nBigQuery provides three editions which support different types of\nworkloads and the features associated with them. You can enable editions when\nyou [reserve BigQuery\ncapacity](/bigquery/docs/reservations-intro#reservations).\nBigQuery also provides an [on-demand (per TiB processed)\nmodel](/bigquery/pricing#on_demand_pricing). You can choose to use editions and\nthe on-demand model at the same time on a per-project basis. For more information about BigQuery editions pricing, see [BigQuery pricing](/bigquery/pricing).\n\nEach edition provides a set of capabilities at a different price point to meet\nthe requirements of different types of organizations. You can create a\n[reservation](/bigquery/docs/reservations-intro) or a [capacity\ncommitment](/bigquery/docs/reservations-details#commitments) associated with an\nedition. Reservations configured to use [slots\nautoscaling](/bigquery/docs/slots-autoscaling-intro) automatically scale to\naccommodate the demands of their workloads. Capacity commitments are not\nrequired to purchase slots, but can reduce costs. Because BigQuery editions are a\nproperty of compute power, not storage, you can query datasets regardless of how\nthey are stored provided your edition supports the capabilities that you want to\nuse. Slots from all editions are subject to the same quota. Your quota is not\nfulfilled on a per-edition basis. For more information about quotas, see [Quotas and\nlimits](/bigquery/quotas#reservations).\n\nBigQuery editions features\n--------------------------\n\nThe following tables lists the features available in each edition. Features\noutside of your edition are blocked or lack capabilities.\n\nDon't use edition tiers to restrict access to specific features, because the\nfeatures assigned to each edition can change over time. For example, don't\nassign projects to Standard edition reservations as a way of disallowing\naccess to BigQuery ML.\n\n### Administration features\n\n| **Note:** BigQuery Enterprise Plus edition supports [Assured Workloads platform controls](/assured-workloads/docs/supported-products) for regulatory compliance regimes, including FedRAMP, CJIS, IL4, and ITAR.\n\n### Analysis features\n\n| **Note:** BigQuery [automatically encrypts all data](/bigquery/docs/encryption-at-rest) at rest. By default, Google manages the encryption keys used to protect your data. You can also use [customer-managed encryption keys\n| (CMEK)](/bigquery/docs/customer-managed-encryption) in the Enterprise edition and Enterprise Plus edition.\n\nWhat's next\n-----------\n\n- For more information on slots autoscaling, see [Introduction to slots autoscaling](/bigquery/docs/slots-autoscaling-intro).\n- For more information on reservations, see [Introduction to Reservations](/bigquery/docs/reservations-intro)."]]
