Semaphor vs Power BI

A data platform with embedding, versus an embedding platform

Power BI is half of a bigger story: Microsoft Fabric, a full data platform where one capacity buys lakehouse, warehouse, real-time, and BI. For a Microsoft-standardized enterprise, that bundle is genuinely attractive on paper.

Customer-facing embedding is where the model strains. It is possible, well-documented, and used by many ISVs, but it routes through Azure capacities, Entra service principals, embed tokens, and per-customer workspace management. Semaphor collapses that stack into a platform decision: JWT in, dashboard out, tenancy and security handled by the platform, priced flat.

Pricing and licensing

Power BI licensing spans six SKU families in transition (Pro, PPU, A, EM, P, F), and embedded scenarios pull in Azure capacity pricing on top. The essentials: every author needs a per-user license; embedding for your customers requires an Azure capacity sized in capacity units; there is a steep capacity jump before free viewers can consume content through the Power BI service; and Copilot requires paid capacity, with consumption billed against capacity units. Getting this right is a licensing project of its own; entire consultancies exist for it.

Semaphor is one decision: flat platform pricing with no per-user or per-viewer fees, so the bill does not change as your team grows or your customers log in. Multi-tenancy and white-labeling are included, and the free tier includes embedding, so you can validate the integration before you ever talk to us.

Embedding

Power BI’s app-owns-data pattern works like this: register an Entra app, configure a service principal or master user, buy a capacity, mint embed tokens server-side, and render with the JavaScript SDK. It is well documented, and it is a lot of identity and capacity plumbing before the first chart renders, with feature gaps in app-owns-data mode (R and Python visuals, for example).

Semaphor’s integration is a JWT and an embed URL, fully white-labeled in any framework: no vendor branding surfaces to your customers. Past the dashboard, the Data App SDK builds complete governed data apps in your own React code, custom visuals plug in as React components, agents build dashboards and data apps over MCP, and briefings deliver what changed to your users on a schedule.

Multi-tenancy and operations

Microsoft’s recommended ISV pattern is a workspace and semantic model per customer, managed through service principal profiles, with documented ceilings (1,000 workspaces per principal or profile, up to 100,000 profiles) and refresh limits per capacity tier (8 scheduled refreshes per day on shared capacity, 48 on premium tiers, with duration caps). The alternative, one big model with RLS, is recommended only for relatively few customers with small-to-medium models. Either way, the orchestration is your engineering team’s job.

Semaphor makes tenancy a platform feature instead of an operations project. Row-level, schema-level, and connection-level isolation are configured once and enforced at query build time on every query path. Onboarding a new tenant is an API call, not a workspace deployment.

Isolation is only half of multi-tenancy; the other half is the management model. In Semaphor, organizations, tenants, and tenant users are first-class objects: each tenant carries its own users, roles, groups, sharing boundaries, and defaults, down to per-tenant fiscal calendars and number formats, while organization-level appearance controls white-label the entire surface. Tenant users build and share dashboards strictly inside their own walls, enforced server-side. With Power BI, that entire administrative shell is yours to build and operate out of workspaces, service principals, and Entra groups.

Version control

Fabric brought real Git integration with PBIP and TMDL source formats and deployment pipelines. But as of July 2026, Power BI reports and semantic models are still marked preview in that Git integration, with documented exclusions, and unsupported items are silently ignored on sync.

Semaphor’s GitHub integration is shipped product: commit dashboards, models, and configs from the toolbar, review diffs in GitHub, restore any version, and promote across environments via the API.

AI and agents

Copilot in Power BI and Fabric assists with report generation and DAX, gated behind paid capacity (F2 or above, not trials), admin enablement, and consumption billing against capacity units.

Semaphor is agent-native rather than copilot-assisted. Agents connect over MCP to discover the semantic model, execute governed queries, and build dashboards and data apps verified against live results, on every tier, cloud or self-hosted, with the same security policies applied to agent and human queries alike.