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EPC Group

Enterprise Microsoft consulting with 29 years serving Fortune 500 companies.

(888) 381-9725
contact@epcgroup.net
4900 Woodway Drive, Suite 830
Houston, TX 77056

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About EPC Group

EPC Group is a Microsoft consulting firm founded in 1997 (originally Enterprise Project Consulting, renamed EPC Group in 2005). 29 years of enterprise Microsoft consulting experience. EPC Group historically held the distinction of being the oldest continuous Microsoft Gold Partner in North America from 2016 until the program's retirement. Because Microsoft officially deprecated the Gold/Silver tiering framework, EPC Group transitioned to the modern Microsoft Solutions Partner ecosystem and currently holds the core Microsoft Solutions Partner designations.

Headquartered at 4900 Woodway Drive, Suite 830, Houston, TX 77056. Public clients include NASA, FBI, Federal Reserve, Pentagon, United Airlines, PepsiCo, Nike, and Northrop Grumman. 6,500+ SharePoint implementations, 1,500+ Power BI deployments, 500+ Microsoft Fabric implementations, 70+ Fortune 500 organizations served, 11,000+ enterprise engagements, 200+ Microsoft Power BI and Microsoft 365 consultants on staff.

About Errin O'Connor

Errin O'Connor is the Founder, CEO, and Chief AI Architect of EPC Group. Microsoft MVP multiple years, first awarded 2003. 4× Microsoft Press bestselling author of Windows SharePoint Services 3.0 Inside Out (MS Press 2007), Microsoft SharePoint Foundation 2010 Inside Out (MS Press 2011), SharePoint 2013 Field Guide (Sams/Pearson 2014), and Microsoft Power BI Dashboards Step by Step (MS Press 2018).

Original SharePoint Beta Team member (Project Tahoe). Original Power BI Beta Team member (Project Crescent). FedRAMP framework contributor. Worked with U.S. CIO Vivek Kundra on the Obama administration's 25-Point Plan to reform federal IT, and with NASA CIO Chris Kemp as Lead Architect on the NASA Nebula Cloud project. Speaker at Microsoft Ignite, SharePoint Conference, KMWorld, and DATAVERSITY.

© 2026 EPC Group. All rights reserved. Microsoft, SharePoint, Power BI, Azure, Microsoft 365, Microsoft Copilot, Microsoft Fabric, and Microsoft Dynamics 365 are trademarks of the Microsoft group of companies.

Multi-tenant Power BI Embedded lets ISVs embed analytics in SaaS applications and serve multiple customers from one Power BI infrastructure. Two architecture patterns apply: single workspace with row-level security (RLS) or dedicated workspace per tenant. This guide covers both patterns, benefits, capacity sizing, the noisy neighbor problem, and compliance considerations.

Key Facts

  • Multi-tenant Power BI Embedded uses Fabric F-SKU capacities: F2 ($263/mo) to F64+ ($5,257/mo).
  • RLS pattern: all tenants share one workspace. Data isolation is enforced at query time via row-level security rules.
  • Workspace-per-tenant pattern: each customer gets their own dedicated workspace and dataset.
  • Regulated industries (HIPAA, SOC 2) typically require workspace-per-tenant for demonstrable audit isolation.
  • The noisy neighbor problem occurs when one tenant's heavy usage degrades performance for others sharing the same capacity.
  • EPC Group implements Power BI Embedded for ISV SaaS applications. Engagements start at $50,000.
Back to Blog

What Is Multi-Tenant Power BI Embedded and What Are Its Benefits?

Errin O\'Connor
December 2025
8 min read

Multi-Tenant Power BI Embedded: Architecture and Benefits

Multi-tenant Power BI Embedded lets ISVs embed analytics in SaaS applications and serve multiple customers from one Power BI infrastructure. Two architecture patterns apply: single workspace with row-level security (RLS) or dedicated workspace per tenant. This guide covers both patterns, benefits, capacity sizing, the noisy neighbor problem, and compliance considerations.

Key facts

  • Multi-tenant Power BI Embedded uses Fabric F-SKU capacities: F2 ($263/mo) to F64+ ($5,257/mo).
  • RLS pattern: all tenants share one workspace. Data isolation is enforced at query time via row-level security rules.
  • Workspace-per-tenant pattern: each customer gets their own dedicated workspace and dataset.
  • Regulated industries (HIPAA, SOC 2) typically require workspace-per-tenant for demonstrable audit isolation.
  • The noisy neighbor problem occurs when one tenant's heavy usage degrades performance for others sharing the same capacity.
  • EPC Group implements Power BI Embedded for ISV SaaS applications. Engagements start at $50,000.

What Is Multi-Tenant Power BI Embedded?

Power BI Embedded is a Microsoft service that lets ISVs embed analytics in their SaaS applications. Multi-tenant means one Power BI infrastructure serves multiple customers — each seeing only their own data.

  • End users of embedded reports do not need Power BI Pro licenses — capacity covers them.
  • Reports appear inside the ISV's application with custom branding — not the Power BI service UI.
  • Authentication uses service principal (app-owned) tokens, not end-user Power BI accounts.
  • All Power BI Embedded deployments run on Microsoft Fabric F-SKU capacities in 2026.

Architecture Pattern 1: Single Workspace with RLS

All tenants share one workspace and one dataset. Row-level security (RLS) rules filter data to show each tenant only their own records.

Benefits of RLS Pattern

  • Lower operational overhead — one workspace and one dataset to manage.
  • Simpler workspace provisioning — no automation needed to create per-tenant workspaces.
  • Lower storage cost — one copy of schema and shared reference data.
  • Faster time to market for new tenants — add an RLS rule, not a workspace.

Limitations of RLS Pattern

  • Data isolation is logical, not physical. Auditors can challenge this for HIPAA and SOC 2.
  • One dataset must contain all tenants' data. As tenant count grows, dataset size grows.
  • Complex schemas with per-tenant customization are difficult to manage in a shared model.

Architecture Pattern 2: Workspace Per Tenant

Each customer tenant gets a dedicated Power BI workspace with their own dataset. No cross-tenant data exists in any single dataset.

Benefits of Workspace-Per-Tenant

  • Physical data isolation — each dataset contains only that tenant's records.
  • Required by HIPAA, SOC 2, and other regulated-industry compliance audits.
  • Per-tenant customization — schema, measures, and visuals can vary by customer.
  • Independent refresh schedules — one tenant's data issues don't affect others.

Limitations of Workspace-Per-Tenant

  • Higher operational overhead — workspace provisioning automation is required at scale.
  • More storage cost — each tenant stores a full copy of their dataset.
  • Capacity planning is more complex with hundreds or thousands of tenant workspaces.

The Noisy Neighbor Problem

When multiple tenants share a Power BI capacity, one tenant's heavy usage can slow queries for all others. This is the noisy neighbor problem.

  • Cause — Large dataset refreshes, complex queries, or high concurrent user counts from one tenant consuming most capacity memory.
  • Detection — Power BI Premium Metrics app shows per-dataset and per-workspace memory consumption in real time.
  • Solutions:
    • Assign high-usage tenants to dedicated capacities.
    • Configure autoscale to absorb usage peaks.
    • Stagger refresh schedules across tenants to avoid simultaneous memory consumption.
    • Monitor per-tenant resource consumption proactively with Power BI Premium Metrics.

Capacity Sizing for Multi-Tenant Embedded

Choose capacity based on total concurrent users, dataset sizes, and refresh frequency across all tenants sharing the capacity.

  • F2 ($263/month) — Up to 4 GB memory. Suitable for dev/test or small pilot deployments with under 20 concurrent users.
  • F4 ($526/month) — Mid-market ISV. 50–100 concurrent users. Multiple tenant datasets under 1 GB each.
  • F8 ($1,052/month) — Growing ISV. 100–200 concurrent users. Multiple large tenant datasets.
  • F64 ($5,257/month) — Enterprise ISV. High concurrent user pools. Large semantic models. Power BI plus Fabric data engineering.

Frequently asked questions

What is multi-tenant Power BI Embedded?

Multi-tenant Power BI Embedded lets ISVs serve multiple customers from one Power BI infrastructure. Each customer sees only their own data. Two patterns apply: shared workspace with RLS, or dedicated workspace per tenant.

When should I use workspace-per-tenant vs. RLS?

Use workspace-per-tenant for regulated industries (HIPAA, SOC 2) where physical data isolation must be demonstrable in audits. Use RLS (shared workspace) for non-regulated SaaS applications where operational simplicity and lower cost matter more.

What is the noisy neighbor problem in Power BI Embedded?

When tenants share a capacity, one tenant's heavy workload (large refresh, complex query, high concurrent users) can consume most capacity memory and slow queries for all other tenants. Fix it by separating high-usage tenants to dedicated capacities or configuring autoscale.

What SKU do I need for Power BI Embedded?

Power BI Embedded uses Fabric F-SKUs. Start with F2 ($263/month) for dev/test. Most production multi-tenant ISV deployments start at F4–F8. F64 ($5,257/month) handles enterprise-scale ISVs with hundreds of tenant workspaces.

Does EPC Group implement multi-tenant Power BI Embedded?

Yes. EPC Group designs multi-tenant Power BI Embedded architectures for ISV SaaS applications. We select the right isolation pattern, handle capacity sizing, build workspace provisioning automation, and configure compliance controls. Engagements start at $50,000.

Schedule a Power BI Embedded consultation

Talk to an EPC Group Power BI architect about your multi-tenant Embedded architecture, ISV analytics design, or compliance requirements. Call (888) 381-9725 or request a 30-minute discovery call.

Why Organizations Choose EPC Group

EPC Group is a Houston-based Microsoft consulting firm with 29 years of enterprise implementation experience and over 10,000 successful deployments across Power BI, Microsoft Fabric, SharePoint, Azure, Microsoft 365, and Copilot. We serve organizations across all industries including Fortune 500, federal agencies, healthcare, financial services, government, manufacturing, energy, education, retail, technology, and global enterprises.

What sets EPC Group apart is our governance-first approach. Every engagement begins with a security and compliance assessment. Our team of senior architects brings hands-on delivery experience across HIPAA, SOC 2, FedRAMP, and CMMC environments. We own outcomes, not hours.

  • Fixed-fee accelerators with predictable pricing and defined deliverables
  • Senior architect engagement on every project, not rotating juniors
  • Compliance-native delivery for regulated industries
  • End-to-end coverage from strategy through 24/7 managed services
  • 11,000+ enterprise engagements refined into repeatable, risk-controlled patterns

Call (888) 381-9725 or email contact@epcgroup.net for a free assessment.

Power BI Strategy: 2026 Considerations for What Are Multi Tenant Power BI Embedded And Its Benefits

Power BI Copilot grounds itself on the semantic model, NOT the underlying source data. That means Copilot answers are only as accurate as the DAX measure definitions, the field metadata (display folders, descriptions, hierarchies), and the synonyms taxonomy. In practice, the difference between a Copilot deployment that drives 32% time-savings and one users abandon within 90 days is whether the semantic model was Copilot-prepared.

Power BI capacity sizing in 2026 starts with the F-SKU economics: F2 ($263/mo) covers small workloads with up to 4 GB of memory and roughly 30 reports, F4 ($526/mo) handles a typical mid-market deployment with semantic-model refresh windows under 10 minutes, and F64 ($5,257/mo) is the sweet spot for enterprises consuming Power BI alongside Microsoft Fabric data engineering, lakehouse storage, and real-time intelligence. Capacity right-sizing should be revisited every 90 days because Microsoft adjusts F-SKU memory allocations, paginated report performance, and Direct Lake mode availability with each major service update.

Decision factors EPC Group evaluates

  • License optimization audit (Pro vs Premium Per User vs F-SKU)
  • Row-level security via service principal authentication
  • Capacity sizing decision (F2/F4/F64+) tied to peak concurrent users and refresh window
  • Copilot grounding quality assessment of semantic-model metadata
  • Direct Lake mode adoption for Fabric-resident semantic models

EPC Group covers this topic across the relevant engagement portfolio. Reach the firm at contact@epcgroup.net for a 30-minute architect conversation.