Introduction to BigQuery editions
This document provides an introduction to BigQuery editions and the features associated with them.
BigQuery provides three editions (Standard, Enterprise, and Enterprise Plus) to support different types of workloads. These editions provide an alternative to existing reservation models, such as flat-rate or on-demand models. You can choose to use editions, flat-rate reservations, or on-demand models at the same time.
Each edition provides a set of capabilities at a different price point to match the requirements of different types of customers. You can create a reservation or a capacity commitment associated with an edition. Capacity commitments are not required to purchase slots, but can save on costs. For more information about slots autoscaling, see Introduction to slots autoscaling. As BigQuery editions is a property of compute power, not storage, you can query datasets regardless of how they are stored as long as you are not using a non-matching edition specific capability.
The following table lists the features available in each edition. Features outside of your edition are blocked or lack functionality.
Edition tiers should not be used to restrict access to specific features, as the features assigned to each edition could change over time. For example, do not assign projects to Standard edition reservations just to disable BigQuery ML.
Storage encryption support
BigQuery automatically encrypts all data at rest. By default, Google manages the key encryption keys used to protect your data. You can also use customer-managed encryption keys (CMEK) in Enterprise Plus edition.
Assured Workloads support
BigQuery Enterprise Plus edition supports Assured Workloads platform controls for regulatory compliance regimes, including FedRAMP, CJIS, IL4, and ITAR.
How is BigQuery pricing changing?
We are changing BigQuery's analytics models and pricing. The changes can give you new ways to optimize your spending based on workload type and size.
- We are introducing a new consumption and reservation model, BigQuery editions, that offers a tiered pricing structure with curated feature sets for different workload needs. All editions are enabled with our new autoscaler functionality that offers fully elastic, dynamic scaling of BigQuery compute resources without pre-provisioning capacity.
- We are also increasing the price of BigQuery on-demand analysis (pay-per-query pricing) to reflect the improvements in our serverless functionality and performance.
How do I know if I am impacted by these pricing changes?
The price changes are relevant:
- All customers with existing BigQuery reservation spend (flat-rate or flex slots)
- All customers with existing BigQuery on-demand analysis spend
When do the price changes take effect?
The Mandatory Service Announcement (MSA) notifying customers about price changes for on-demand analysis and the upcoming end of sale of flat-rate and flex slots was sent to impacted partners and customers on March 30, 2023, providing more than 90 days' notice before the changes take effect on July 5, 2023.
When and how am I notified about these changes?
Customers were notified by a Mandatory Service Announcement (MSA) on March 30, 2023. If you haven't received an MSA, refer to the blog post.
Are these price changes reflected globally?
The changes will apply globally. For any pricing adjustments, local currency list prices will be adjusted to USD prices to avoid currency arbitrage.
What can I do to prepare for these change?
You do not need to do anything if you exclusively use the on-demand analysis model.
If you have existing flat rate and/or flex slot reservations, your capacity will be automatically converted to BigQuery editions. New pricing takes effect starting on July 5, 2023. At any time before or after the conversion, you can choose to modify your capacity configuration to use optional 1-year or 3-year capacity commitments (available in Enterprise and Enterprise Plus editions) for greater cost savings.
When will the new prices take effect?
Commercial migration of flat-rate and flex-slot pricing into editions pricing happens starting on July 5, 2023. Monthly flat rate and flex slots will be converted to new prices on July 5, and annual flat rate pricing converts to editions pricing at time of renewal.
Why is Google making these changes?
Over the past several years, Google Cloud has made significant investments in BigQuery features and performance that have benefited our customers. Many of the changes have added capabilities for enterprise data warehouses or improved performance. As we continue to add these capabilities, we are also making adjustments to BigQuery's consumption model and pricing to align more closely with how customers want to purchase analytics capacity. These changes provide customers more flexibility to optimize their data workloads for price-performance while allowing them to pay only for what they use, unlike market alternatives with upfront provisioning and unpredictable costs. For more information, see the latest BigQuery cost optimization guide to learn more.
What is Google Cloud's pricing philosophy?
Google Cloud offers innovative solutions to transform businesses, priced in a customer-focused and market-consistent way. Every organization is on its own unique cloud journey. To help, we're developing ways for customers to consume and pay for Google Cloud services. We're doing this by removing barriers to entry, aligning cost to consumption and providing contractual and product flexibility.
With our pay-as-you-go pricing structure, you only pay for the services you use. BigQuery also can save you money over other providers, thanks to dynamic autoscaling and the ability to pre-commit for compute resources at discounted rates. For example, if you select Enterprise or Enterprise Plus Editions for your workloads with a 1-year or 3-year commitment, you automatically receive a discount from list prices, without contracting changes. These updates are consistent with our overall pricing philosophy.
What should I do next?
If you are using the on-demand analysis model, no action is needed. If you are using the flat-rate model, you can work with your Google account teams and partners to plan workload migrations to the new editions model. To learn more about BigQuery editions, you can register to watch the BigQuery roadmap session from April 5, 2023.
For information about BigQuery editions pricing, see BigQuery pricing.
Slots from all editions are subject to the same quota. Your quota is not fulfilled on a per-edition basis. For information about quotas, see Quotas and limits.
- For more information on slots autoscaling, see Introduction to slots autoscaling.
- For more information on reservations, see Introduction to Reservations.