What is Power BI Premium?
This article describes Power BI Premium operations and considerations, to view a high level description of how Microsoft Fabric works, see Microsoft Fabric concepts and licenses.
Power BI Premium provides enhancements to Power BI, and a comprehensive portfolio of Premium features. The following table lists some of the Premium enhancements.
| Enhancement | Details |
|---|---|
| Purchase Premium for individuals in your organization | See Power BI Premium Per User (PPU). |
| Improved metrics | Capacity performance depends only on the amount of CPU usage. Metrics can be easily understood using the Microsoft Fabric Capacity Metrics app. |
| Autoscale | An optional feature that prevents slowdowns caused by throttling on overloaded capacities. When enabled, if the load on the capacity exceeds the capacity limits, autoscale automatically adds one v-core at a time for 24-hour periods. Additional v-cores are charged to your Azure subscription on a pay-as-you-go basis. |
Capacities and SKUs
Capacity is a dedicated set of resources reserved for exclusive use. It offers dependable, consistent performance for your content.
Each capacity offers a selection of SKUs, and each SKU provides different resource tiers for computing power. The type of SKU you require, depends on the type of solution you wish to deploy.
| SKU | Capacity Units (CU) | Power BI SKU | Power BI v-cores |
|---|---|---|---|
| F2 | 2 | N/A | N/A |
| F4 | 4 | N/A | N/A |
| F8 | 8 | EM1/A1 | 1 |
| F16 | 16 | EM2/A2 | 2 |
| F32 | 32 | EM3/A3 | 4 |
| F64 | 64 | P1/A4 | 8 |
| F128 | 128 | P2/A5 | 16 |
| F256 | 256 | P3/A6 | 32 |
| F5121 | 512 | P4/A7 | 64 |
| F10241 | 1,024 | P5/A8 | 128 |
| F20481 | 2,048 | N/A | N/A |
1 These SKUs aren't available in all regions. To request using these SKUs in regions where they're not available, contact your Microsoft account manager.
Subscriptions and licensing
Power BI Premium is a tenant-level Microsoft 365 subscription, available in two SKU (Stock-Keeping Unit) families.
| P | EM | |
|---|---|---|
| Range | P1-P5 | EM1-EM3 |
| Use | Enterprise features and embedding | Organizational embedding (embed for your organization) |
| Commitment | Monthly or yearly | Yearly |
| Billing | Monthly | Monthly |
| Additional information | Includes a license to install Power BI Report Server on-premises | EM1 and EM2 SKUs are available only through volume licensing plans. You can't purchase them directly. |
Workspaces
Workspaces reside within capacities. Each Power BI user has a personal workspace known as My Workspace. Additional workspaces known as workspaces can be created to enable collaboration. By default, workspaces, including personal workspaces, are created in the shared capacity. When you have Premium capacities, both My Workspaces and workspaces can be assigned to Premium capacities.
Capacity administrators automatically have their My workspaces assigned to Premium capacities.
Semantic model SKU limitation
With Power BI Premium and Power BI Embedded, there are memory limits and other constraints for each SKU listed in the table below.
| SKU | Max memory (GB)1, 2 | Max concurrent DirectQuery connections (per semantic model)1 | Max DirectQuery parallelism3 | Live connection (per second)1 | Max memory per query (GB)1 | Model refresh parallelism | Direct Lake rows per table (in millions)1, 4 | Max Direct Lake model size on OneLake (GB)1, 4 |
|---|---|---|---|---|---|---|---|---|
| F2 | 3 | 5 | 1 | 2 | 1 | 1 | 300 | 10 |
| F4 | 3 | 5 | 1 | 2 | 1 | 2 | 300 | 10 |
| F8 | 3 | 10 | 1 | 3.75 | 1 | 5 | 300 | 10 |
| F16 | 5 | 10 | 1 | 7.5 | 2 | 10 | 300 | 20 |
| F32 | 10 | 10 | 1 | 15 | 5 | 20 | 300 | 40 |
| F64 | 25 | 50 | 4 - 8 | 30 | 10 | 40 | 1,500 | Unlimited |
| F128 | 50 | 75 | 6 - 12 | 60 | 10 | 80 | 3,000 | Unlimited |
| F256 | 100 | 100 | 8 - 16 | 120 | 10 | 160 | 6,000 | Unlimited |
| F512 | 200 | 200 | 10 - 20 | 240 | 20 | 320 | 12,000 | Unlimited |
| F1024 | 400 | 200 | 12 - 24 | 480 | 40 | 640 | 24,000 | Unlimited |
| F2048 | 400 | 200 | 960 | 40 | 1,280 | 24,000 | Unlimited |
1 The Microsoft Fabric Capacity Metrics app doesn't currently expose these metrics.
2 The Max memory (GB) column represents an upper bound for the semantic model size. However, an amount of memory must be reserved for operations such as refreshes and queries on the semantic model. The maximum semantic model size permitted on a capacity might be smaller than the numbers in this column.
3 DirectQuery parallelism can improve your query response times. The lower number indicates the default maximum number of queries that can be processed at the same time. The higher number indicates the maximum number of queries that can be processed at the same time. To change the default use the Model.MaxParallelismPerQuery property.
4 These limits apply to Direct Lake tables and models, and are guardrails that affect fallback to DirectQuery. Direct Lake semantic models have additional constraints that are based on SKUs, as listed in fallback.
Semantic model memory usage
Semantic model operations such as queries are subject to individual memory limits. To illustrate the restriction, consider a semantic model with an in-memory footprint of 1 GB, and a user initiating an on-demand refresh while interacting with a report based on the same semantic model. Three separate actions determine the amount of memory attributed to the original semantic model, which may be larger than two times the semantic model size. The total amount of memory used by one Power BI item can't exceed the SKU's Max memory per semantic model allocation.
Loading the semantic model - The first action is loading the semantic model into the memory.
Refreshing the semantic model - The second action is refreshing the semantic model after it's loaded into the memory. The refresh operation will cause the memory used by the semantic model to more than double, because in addition to the memory used by the refresh operation, the original copy of data remains available for active queries while another copy is being processed by the refresh. Once the refresh transaction commits, the memory footprint is reduced.
Interacting with the report - The third action is caused by the user's interaction with the report. During the semantic model refresh, report interactions will execute DAX queries. Each DAX query consumes a certain amount of temporary memory required to produce the results. Each query may consume a different amount of memory. The memory used to query the semantic model is added to the memory needed to load the semantic model, and refresh it.
Refreshes
Power BI Premium and Power BI Embedded don't require cumulative memory limits, and therefore concurrent semantic model refreshes don't contribute to resource constraints. However, refreshing individual semantic models is governed by existing capacity memory and CPU limits, and the model refresh parallelism limit for the SKU, as described in Capacities and SKUs.
You can schedule and run as many refreshes as required at any given time, and the Power BI service will run those refreshes at the time scheduled as a best effort.
Monitoring
When monitoring Power BI Premium and Power BI Embedded, you only need to take into consideration one aspect: how much CPU your capacity requires to serve the load at any moment. To monitor your capacity, use the Microsoft Fabric Capacity Metrics app app.
To install the app, see Install the Microsoft Fabric capacity metrics app. You can learn how to use the app in the article Microsoft Fabric Capacity Metrics.
Here's what happens when you exceed your CPU limit per the SKU size you purchased:
Power BI Premium - If enabled, autoscale kicks in. If autoscale isn't enabled, your capacity throttles its interactive operations.
Power BI Embedded - Your capacity throttles its interactive operations. To autoscale in Power BI Embedded, see Autoscaling in Power BI Embedded.
Paginated reports
When using Power BI Premium and Power BI Embedded, Power BI paginated reports benefit from the architectural and engineering improvements reflected in Power BI Premium.
Memory - There's no memory management for Paginated reports.
SKU availability - Paginated reports running on Power BI Premium can run reports across all available embedded and Premium SKUs, including the EM1-EM3 and A1-A3 SKUs. Billing is calculated per CPU hour, across a 24-hour period.
Enhanced security and code isolation - Code isolation occurs at a per-user level, rather than at a per-capacity level.
Dataflows Gen1 and Gen2
Each SKU can run a set number of Dataflows parallel tasks, as listed in this table.
| Fabric SKU | Dataflow Gen1 parallel tasks | Dataflow Gen2 parallel tasks |
|---|---|---|
| F2 | 2 | 96 |
| F4 | 2 | 96 |
| F8 | 4 | 96 |
| F16 | 8 | 96 |
| F32 | 16 | 96 |
| F64 | 32 | 384 |
| F128 | 64 | 384 |
| F256 | 64 | 384 |
| F512 | 64 | 1536 |
| F1024 | 64 | 1536 |
| F2048 | 64 | 1536 |
To learn about Dataflow Gen2, see Getting from Dataflow Generation 1 to Dataflow Generation 2.
Considerations and limitations
The following known limitations currently apply to Power BI Premium.
Rendering visuals - There's a 225-second limitation for rendering Power BI visuals. Visuals that take longer to render, will be timed-out and won't display.
Throttling - Throttling can occur in Power BI Premium capacities. Concurrency limits are applied per session. An error message will appear when too many operations are being processed concurrently. To mitigate throttling, you can use autoscale. When autoscale is enabled, if CPU consumption exceeds the additional limits, throttling will still take place. To read more about throttling in Fabric, see The Fabric throttling policy.
Client library version - Client applications and tools that connect to and work with semantic models on Premium capacities through the XMLA endpoint require Analysis Services client libraries. Most client applications and tools install the most recent client libraries with regular updates, so manually installing the client libraries isn't usually necessary. Regardless of the client application or tool version, the following minimum client library versions are required.
Client Library Version MSOLAP 15.1.65.22 AMO 19.12.7.0 ADOMD 19.12.7.0 In some cases, manually installing the most recent client libraries may be necessary to reduce potential connection and operation errors. To learn more about verifying existing installed client library versions and manually installing the most recent versions, see Analysis Services client libraries.
Semantic models compatibility - Some semantic models are incompatible with the Power BI service modern infrastructure:
- Semantic models created in Power BI service from CSV files.
- Semantic models in the admin monitoring workspace and usage metrics models.
- Semantic models that still use 1103 compatibility level.
- Push semantic models.
- Semantic models that use deprecated features such as content packs.