Understand BigQuery editions

BigQuery provides three editions which support different types of workloads and the features associated with them. You can enable editions when you reserve BigQuery capacity. BigQuery also provides an on-demand (per TiB processed) model. You can choose to use editions and the on-demand model at the same time on a per-project basis. For more information about BigQuery editions pricing, see BigQuery pricing.

Each edition provides a set of capabilities at a different price point to meet the requirements of different types of organizations. You can create a reservation or a capacity commitment associated with an edition. To change the edition associated with a reservation, you must delete and recreate the reservation with the new edition type. For more information, see Update a reservation. Reservations configured to use slots autoscaling automatically scale to accommodate the demands of their workloads. Capacity commitments are not required to purchase slots, but can reduce costs. Because BigQuery editions are a property of compute power, not storage, you can query datasets regardless of how they are stored provided your edition supports the capabilities that you want to use. Slots from all editions are subject to the same quota. Your quota is not fulfilled on a per-edition basis. For more information about quotas, see Quotas and limits.

BigQuery editions features

The following tables lists the features available in each edition. Features outside of your edition are blocked or lack capabilities.

Don't use edition tiers to restrict access to specific features, because the features assigned to each edition can change over time. For example, don't assign projects to Standard edition reservations as a way of disallowing access to BigQuery ML.

Administration features

	Standard	Enterprise	Enterprise Plus	On-demand pricing
Pricing model	Slot-hours (1 minute minimum)	Slot-hours (1 minute minimum)	Slot-hours (1 minute minimum)	Pay per query with free tier
Monthly Service Level Objective (SLO)	>=99.9%	>=99.99%	>=99.99%	>=99.99%
Compliance controls	No access to compliance controls through Assured Workloads	No access to compliance controls through Assured Workloads	Compliance controls through Assured Workloads	Compliance controls through Assured Workloads
Business Intelligence acceleration	No access to query acceleration through BI Engine	Query acceleration through BI Engine	Query acceleration through BI Engine	Query acceleration through BI Engine
Workload management	Users cannot set the maximum concurrency target	Advanced workload management (idle capacity sharing, target concurrency)	Advanced workload management (idle capacity sharing, target concurrency)	On-demand users don't have access to Advanced workload management
Compute model	Autoscaling	Autoscaling + Baseline	Autoscaling + Baseline	On-demand
Maximum reservation size	1,600 slots	Quota	Quota	Quota
Maximum reservations per administration project	10	200	200	No access to reservations
Commitment plans	No access to capacity commitments	1-year commitment at 20% discount or 3-year commitment at 40% discount	1-year commitment at 20% discount or 3-year commitment at 40% discount	No access to capacity commitments
Assignments	Project assignments	Project, folder, or organization assignments	Project, folder, or organization assignments	No assignments
Supported assignment types	`QUERY`, `PIPELINE`	`QUERY`, `CONTINUOUS`, `PIPELINE`, `ML_EXTERNAL`, `BACKGROUND`	`QUERY`, `CONTINUOUS`, `PIPELINE`, `ML_EXTERNAL`, `BACKGROUND`	On-demand pricing doesn't support assignments
Managed disaster recovery	No access to managed disaster recovery	No access to managed disaster recovery	Managed disaster recovery	No access to managed disaster recovery
Data export	No access to exporting data to Bigtable	Exporting data to Bigtable	Exporting data to Bigtable	No access to exporting data to Bigtable

Analysis features

What's next

For more information on slots autoscaling, see Introduction to slots autoscaling.
For more information on reservations, see Introduction to Reservations.

	Standard	Enterprise	Enterprise Plus	On-demand pricing
Data sharing	Entity resolution framework Publish and subscribe to datasets Data clean room subscriptions Egress controls	Entity resolution framework Publish and subscribe to datasets Data clean room subscriptions Egress controls	Entity resolution framework Publish and subscribe to datasets Data clean room subscriptions Egress controls	Entity resolution framework Publish and subscribe to datasets Data clean room subscriptions Egress controls
Materialized views	Query existing materialized views directly	Create materialized views Automatic refresh of materialized views Manual refresh of materialized views Direct query of materialized views Smart tuning	Create materialized views Automatic refresh of materialized views Manual refresh of materialized views Direct query of materialized views Smart tuning	Create materialized views Automatic refresh of materialized views Manual refresh of materialized views Direct query of materialized views Smart tuning
Cached results	Single-user caching	Cross-user caching	Cross-user caching	Single-user caching
Continuous queries	No access to continuous queries	Continuous queries	Continuous queries	No access to continuous queries
Search	Access to the `SEARCH` function without access to search indexes	Query acceleration with search indexes	Query acceleration with search indexes	Query acceleration with search indexes
Vector search	Access to the `VECTOR_SEARCH` function without access to vector indexes	Query acceleration with vector indexes	Query acceleration with vector indexes	Query acceleration with vector indexes
Unstructured data	Run SQL queries on object tables	Perform ML inference on object tables using remote models: Google models hosted in Vertex AI Cloud AI services Custom models deployed to Vertex AI	Perform ML inference on object tables using remote models: Google models hosted in Vertex AI Cloud AI services Custom models deployed to Vertex AI	Perform ML inference on object tables using remote models: Google models hosted in Vertex AI Cloud AI services Custom models deployed to Vertex AI
Multi-cloud analytics	Not available	BigQuery Omni support	Not available	BigQuery Omni support
Integrated machine learning	No access to BigQuery ML	BigQuery ML	BigQuery ML	BigQuery ML
Workload management	Users cannot set the maximum concurrency target	Advanced workload management (idle capacity sharing, target concurrency)	Advanced workload management (idle capacity sharing, target concurrency)	On-demand users don't have access to Advanced workload management
Supported assignment types	`QUERY`, `PIPELINE`	`QUERY`, `CONTINUOUS`, `PIPELINE`, `ML_EXTERNAL`, `BACKGROUND`	`QUERY`, `CONTINUOUS`, `PIPELINE`, `ML_EXTERNAL`, `BACKGROUND`	On-demand pricing doesn't support assignments
VPC Service Controls	No VPC Service Controls Support	VPC Service Controls Support	VPC Service Controls Support	VPC Service Controls Support
Data export	No access to exporting data to Bigtable or exporting data to Spanner	Exporting data to Bigtable or exporting data to Spanner	Exporting data to Bigtable or exporting data to Spanner	No access to exporting data to Bigtable or exporting data to Spanner
Storage encryption	Google-owned and Google-managed encryption keys	Customer-managed keys (CMEK) Google-owned and Google-managed encryption keys	Customer-managed keys (CMEK) Google-owned and Google-managed encryption keys	Customer-managed keys (CMEK) Google-owned and Google-managed encryption keys
Fine-grained security controls	No access to fine-grained security controls	Column-level access control Row-level security Dynamic data masking Custom data masking	Column-level access control Row-level security Dynamic data masking Custom data masking	Column-level access control Row-level security Dynamic data masking Custom data masking