Power BI Embedded Alternative for .NET: Complete Guide (2026)

Why .NET SaaS Teams Are Moving Away from Power BI Embedded

Power BI Embedded entered the market as a compelling proposition: embed Microsoft’s enterprise-grade dashboards into your application, backed by Azure infrastructure, with minimal backend development. For many teams evaluating their options in the mid-2010s, it looked like the safe, future-proof choice.

The reality of running Power BI Embedded at scale in a SaaS product tells a different story. The pricing model is consumption-based and unpredictable. The licensing structure for ISVs (Independent Software Vendors) is layered and confusing. The architecture assumes your data lives in Power BI dataflows or Azure Analysis Services, not in the SQL Server or PostgreSQL database your application already manages. And the tight coupling to Microsoft’s cloud creates long-term architectural dependencies that become harder to escape over time.

The teams that struggle most with Power BI Embedded are not enterprise data teams building internal analytics platforms. They are .NET development teams building SaaS products — companies that need to embed reporting into their application for their own customers, support multi-tenancy, enforce row-level security per tenant, and keep costs predictable as the customer base grows. Power BI Embedded was not designed for this use case, and the friction shows.

The Azure Capacity Pricing Problem

Power BI Embedded uses Azure SKU-based capacity pricing. You do not pay per report or per user in a straightforward sense — you purchase Azure reserved capacity and share it across your embedded workloads. The SKU tiers for embedded scenarios (A SKUs) start at roughly $735/month for an A1 SKU and scale to over $23,000/month for an A6 SKU. P SKUs (Premium) are even more expensive, starting at several thousand dollars per month.

This model has several structural problems for SaaS teams:

• You pay for capacity, not usage. Whether your embedded reports are accessed by 10 users a day or 10,000, you’re paying the same capacity cost. Utilization spikes require you to pre-provision more capacity or face throttling and slow render times.
• Pricing scales with Azure, not with your business. As your SaaS product grows and your reporting needs intensify, you need more capacity. The jump from A1 to A2 doubles your cost — a cliff that arrives at an unpredictable point in your growth curve.
• No per-tenant isolation without cost overhead. True multi-tenant isolation in Power BI Embedded requires separate workspaces per tenant. Managing hundreds of workspaces, each containing synchronized copies of your reports, becomes an operational burden. The alternative (shared workspaces with row-level security) has limitations that affect performance and security guarantees.
• Data refresh costs add up. If your SaaS data changes frequently and you need near-real-time reports, you’re running scheduled refresh operations against Power BI datasets. Each refresh consumes capacity and adds latency. For applications where users expect live data, this architecture is a poor fit.

The result: teams that looked at Power BI Embedded pricing during their initial evaluation — often using the free Developer SKU or A1 for testing — get a cost shock when they move to production with real tenants and real data volumes.

ISV Licensing Complexity

Beyond pricing, the licensing model for Power BI Embedded in ISV scenarios is genuinely complex. Microsoft offers the “app-owns-data” embedding model and the “user-owns-data” model. For ISVs embedding reports for their end customers, app-owns-data is the required approach.

Under app-owns-data, your application authenticates to Power BI as a service principal, generates embed tokens scoped to specific reports and datasets, and injects those tokens into the front-end Power BI JavaScript SDK. This sounds straightforward, but in practice involves:

• Registering an Azure AD application with the correct API permissions
• Managing service principal secrets and rotation
• Provisioning Power BI workspaces and datasets for each tenant (or managing shared workspaces with RLS)
• Keeping dataset schema in sync with your application’s database schema changes
• Handling capacity throttling and refresh failures gracefully in your application
• Managing embed token expiry and re-authentication in the front-end

None of this is impossible, but it is substantial ongoing engineering overhead — overhead that has nothing to do with the actual value your application delivers to customers. Many .NET teams end up with a “Power BI glue layer” that requires dedicated maintenance.

Additionally, for the app-owns-data model to work without each end user needing a Power BI Pro license, you must use Azure capacity (A SKUs or P SKUs). This brings you back to the capacity pricing problem described above.

What to Look for in a Power BI Embedded Alternative

The right alternative depends on your use case. For .NET teams building multi-tenant SaaS applications, these are the criteria that matter most:

Top Power BI Embedded Alternatives for .NET Developers

The embedded analytics market has matured significantly. Here’s an honest look at the options available to .NET development teams:

1. Dotnet Report

Purpose-built for .NET developers who need to embed reporting directly in their applications. Installs as a NuGet package, connects to your existing SQL database, and gives end users a drag-and-drop report builder and live dashboards embedded within your app. Multi-tenancy, row-level security, and scheduled delivery are all built in. Flat annual pricing regardless of user count or tenant count. Best for: ASP.NET Core SaaS platforms and line-of-business applications that need user-facing reporting without Azure capacity overhead.

2. Reveal BI

Reveal is an embedded analytics SDK with native .NET support. It offers a polished, white-labelable dashboard experience with support for various data sources. Pricing is per-developer seat for the SDK, which can add up for larger teams. The UI is modern, but you’re still responsible for data source management and multi-tenant isolation. Best for: Teams that want a polished, white-labeled embedded analytics UI and are comfortable with SDK-level integration work.

3. Bold BI (Syncfusion)

Bold BI from Syncfusion is a full BI platform with an embedded edition. It includes a web designer, dashboard viewer, and a range of widgets. The embedded edition runs as a separate service alongside your application, which adds deployment complexity. Pricing is based on server instances. Best for: Teams in the Syncfusion ecosystem looking for a BI platform they can deploy as a managed service alongside their application.

4. Metabase (Open Source)

Metabase is an open-source BI tool with an embedded analytics option. The open-source version is free but requires self-hosting. Embedding reports in an external application requires the paid Pro or Enterprise tier. Multi-tenant row-level security is available but requires careful configuration. Metabase is not designed to be embedded as a component in your application — it runs as a separate service. Best for: Internal analytics tools or teams comfortable managing a separate Metabase service deployment.

5. Luzmo (formerly Cumul.io)

Luzmo is a cloud-based embedded analytics platform with a strong focus on customer-facing dashboards. It connects to your data warehouse and provides a white-label embedded experience. Pricing starts at ~$995/month, making it competitive with Power BI Embedded at scale but expensive for early-stage SaaS products. It has no native .NET SDK. Best for: Product teams building data-heavy SaaS products that want a cloud-hosted analytics layer separate from their application stack.

Dotnet Report: Purpose-Built Embedded Reporting for .NET

Dotnet Report was built specifically for the use case that Power BI Embedded handles poorly: a .NET developer building a multi-tenant application who needs to embed reporting for their end customers, not for internal analysts.

Architecture

Instead of routing your data through Microsoft’s cloud, Dotnet Report queries your existing database directly. You configure which tables, views, and joins to expose. The report engine generates optimized SQL at query time and returns results directly to the embedded front-end. There is no intermediate dataset, no scheduled refresh, and no cache invalidation problem — users always see live data from your database.

After installing the NuGet package, you add two API endpoints to your existing .NET application: one for report data, one for report management. You connect your existing database. You embed the React-based report builder and viewer in your application. That’s the entire integration. No Azure AD app registration. No workspace provisioning. No embed token management.

Multi-Tenancy Without the Overhead

Power BI Embedded multi-tenancy typically means either separate workspaces per tenant (high operational overhead) or shared workspaces with row-level security profiles (RLS setup per tenant). Both approaches require infrastructure you manage in Microsoft’s cloud.

Dotnet Report handles multi-tenancy differently. Your application passes the current user’s tenant identifier to the Dotnet Report API, and forced filters are applied to every query at the SQL layer. A tenant’s reports, dashboards, and saved filters are scoped to their tenant. You do not provision anything in a cloud console — it all flows through your existing application’s authentication context.

What You Get

• Drag-and-drop report builder. End users select tables, columns, filters, and chart types without writing SQL. No developer required for routine report customization.
• Live interactive dashboards. Grid-layout dashboards with KPI tiles, line charts, bar charts, pie charts, and data tables. All live from your database.
• 12+ chart types. Line, bar, pie, area, scatter, bubble, gauge, funnel, waterfall, combo, and more. All embeddable, all customizable.
• Scheduled report delivery. Cron-based schedules that generate and email reports as PDF, Excel, Word, or CSV. Runs within your application — no external scheduler.
• Row-level security. Forced filters at SQL query time. Tenants cannot access data outside their scope.
• Export to PDF, Excel, Word, CSV. On demand or on schedule.
• AI-assisted queries. Smart Query lets users describe what they want in plain English and generates the underlying SQL automatically.
• White-labeling. The report builder UI is open-source React. You can fully rebrand it to match your application.

Pricing

Dotnet Report uses flat annual licensing. One price covers unlimited users, unlimited reports, and unlimited tenants. There is no Azure capacity SKU, no per-user charge, and no surprise bills as your SaaS grows. For a product scaling from 50 to 500 tenants, the Dotnet Report cost stays constant. The Power BI Embedded cost does not.

Power BI Embedded vs. Dotnet Report: Feature Comparison

Here is a direct comparison across the dimensions that matter for .NET SaaS development teams:

How to Replace Power BI Embedded (Step by Step)

Migrating away from Power BI Embedded is primarily about replacing the data architecture and the front-end embedding — not about converting report definitions (Power BI’s .pbix format is not portable anyway). Here is how most teams approach the migration:

Step 1: Inventory Your Power BI Reports and Datasets

Before any migration, understand exactly what you have. List every report and dataset currently embedded in your application. Note which reports are used frequently, which are accessed rarely, and which could potentially be retired. Also document which database tables and views each dataset draws from — this will directly inform your Dotnet Report schema configuration.

Step 2: Map Power BI RLS to Dotnet Report Forced Filters

If you are using Power BI’s Row-Level Security to enforce tenant data isolation, document your RLS rules. Each rule maps to a forced filter in Dotnet Report. For example, if your Power BI RLS limits a tenant to rows where TenantId = [current tenant], you configure the equivalent forced filter in Dotnet Report’s admin panel, bound to the tenant identifier your application passes via the API.

Step 3: Install Dotnet Report and Configure Schema

Add the NuGet package to your ASP.NET Core application. Add the two API endpoints using your existing authentication middleware. In the Dotnet Report admin panel, configure which tables, views, and joins from your existing database are exposed to end users. This schema configuration is the foundation that all reports share.

Step 4: Recreate Reports Using the Drag-and-Drop Builder

Power BI .pbix report definitions cannot be automatically imported into Dotnet Report. However, since both tools draw from the same underlying data in your SQL database, recreating reports is primarily a layout task, not a data engineering task. For most tabular and chart-based reports, recreation in the Dotnet Report builder takes minutes. Start with your highest-traffic reports first.

Complex measures that were expressed as DAX in Power BI may need to be translated into SQL expressions or custom calculated columns in Dotnet Report. For complex aggregations, creating a database view that pre-computes the measure is often the cleanest approach — the view becomes a first-class table in your Dotnet Report schema.

Step 5: Replace the Front-End Embedding

Remove the Power BI JavaScript SDK embed code from your application. Replace it with the Dotnet Report viewer component. The integration is simpler: you include a script tag, configure the component to point at your API endpoints, and pass the current user’s context. No Azure AD token exchange, no embed token generation, no capacity throttling handling.

Step 6: Shut Down Power BI Infrastructure

Once your reports are live in Dotnet Report and validated by real users, deprovision your Power BI workspaces, cancel your Azure capacity reservation, and remove the Azure AD service principal your application was using. This is the step that delivers the cost savings — in some cases eliminating $1,000–$5,000/month in Azure capacity costs.

FAQ

My Power BI reports use complex DAX measures. Can Dotnet Report handle these?

DAX is a Power BI-specific formula language. Dotnet Report uses SQL. For most common measures (sums, averages, counts, running totals, year-over-year comparisons), you can express the same logic as SQL calculated columns or in a database view. Highly complex DAX expressions — particularly those that rely on Power BI’s filter context model — may require translating the logic into SQL views before exposing them in Dotnet Report.

Can Dotnet Report handle the same number of concurrent users as Power BI Embedded?

Dotnet Report runs within your existing application server. Scalability is determined by your application’s hosting infrastructure, not by a fixed capacity SKU. If you need to scale horizontally, you scale your application servers — the same way you scale everything else in your stack. This model is often more cost-effective and gives you finer-grained control over scaling decisions.

Does Dotnet Report support the same chart types as Power BI?

Dotnet Report includes over 12 chart types: line, bar, column, pie, donut, area, scatter, bubble, gauge, funnel, waterfall, and combo charts. For SaaS embedded reporting use cases, these cover the vast majority of what end users actually need. Power BI offers more exotic chart types for advanced data science use cases, but these rarely appear in embedded customer-facing reporting.

What databases does Dotnet Report support?

SQL Server, MySQL, PostgreSQL, Oracle, and DB2. Since Dotnet Report queries your database directly, it supports any database that your .NET application can already connect to. There is no requirement to move data into a cloud data warehouse or Power BI dataflow.

Can end users in my application create their own reports?

Yes. Dotnet Report includes a full self-service report builder. End users can create, save, and share reports using a drag-and-drop interface without writing SQL. You control which tables and joins are visible to them, so they can only access data you explicitly expose. This is a significant advantage over Power BI Embedded, where giving end users report-creation rights requires Power BI Pro licenses for each user.

How does white-labeling work?

The Dotnet Report front-end components are open-source React. You can apply your own branding, modify the UI, and embed the components seamlessly within your application. Your end users see your application’s design — not a third-party brand. Power BI Embedded, by contrast, shows Microsoft’s Power BI branding unless you are on higher-tier capacity with specific white-labeling features enabled.

Is Dotnet Report cloud-agnostic?

Yes. Because it runs as part of your .NET application, it deploys wherever your application deploys: AWS, Azure, GCP, on-premises Windows Server, Linux containers, Kubernetes clusters, or shared hosting. You are not locked into Azure’s infrastructure or pricing.

Next Steps

If Power BI Embedded’s Azure capacity costs or ISV licensing complexity are creating friction in your SaaS product, the migration path to a purpose-built alternative is well-defined and manageable. Here are three ways to start: