Audyense·
Add your product
Side-by-side record

Metabase vs. Microsoft Power BI

Built from each tool’s researched, reviewed record. Figures are checked against public pricing pages at research time — always confirm current pricing with the vendor before buying.

The short version

Metabase starts at Free per seat, versus Microsoft Power BI at Free. Microsoft Power BI carries the higher aggregate rating (4.6/5 vs 4.4/5). Microsoft Power BI lists more integrations (100+ vs 20+).

Full comparison

Metabasefrom Free
Microsoft Power BIfrom Free
Audyense Score62ASFair85ASExcellent
PositioningOpen-source BI that makes dashboards and self-serve analytics approachable.Microsoft's cloud BI platform for self-service dashboards, reports, and governed analytics
Free tierYesYes
DeploymentCloud / SaaS, On-premiseCloud / SaaS, On-premise, Hybrid
Best fitStartup, SMB, Mid-market, EnterpriseSMB, Mid-market, Enterprise
Pricing plans
  • Open SourceFree
  • Starter$85
  • Pro$500
  • EnterpriseCustom pricing
  • FreeFree
  • Power BI Pro$14
  • Power BI Premium Per User$24
  • Power BI Embedded / Fabric capacityCustom pricing
Embedded analyticsYesYesPower BI Embedded plus REST embed-token APIs; priced separately as capacity, not included in per-user plans.
SSOYesSAML/OIDC are commercial features.—
Open-source deploymentYes—
SQL editorYes—
Scheduled reports and alertsYes—
AI-assisted analyticsYesMetabot and AI controls available on paid plans.—
No-code query builderYes—
Row-level permissionsYesCommercial tiers add row- and column-level permissions.—
AI features—YesCopilot AI assistant for insights and report creation is listed for both Power BI and Fabric, alongside Q&A.
Public API—YesDocumented Power BI REST API covering datasets, reports, dashboards, dataflows, gateways, pipelines, embed tokens, and admin.
Mobile app—YesPower BI Mobile apps for phones and tablets with reports optimized for mobile layouts.
Data governance & lineage—YesRow-level security, sensitivity labels, audit logs, usage metrics, and Microsoft Purview Information Protection and DLP integration.
Dashboards & visualization—YesReal-time dashboards and streaming tiles in the Power BI service, plus 30+ built-in visuals and a custom visuals marketplace.
Self-service BI—YesPower BI Desktop provides drag-and-drop report building with Power Query Editor for data prep and DAX for modeling.
Semantic layer / data modeling—YesShared semantic models with relationships, DAX measures, composite models, and row-level security reused across reports.
Alerts & notifications—YesDashboard data alerts and email subscriptions; Data Activator adds real-time alerting and automation. Some distribution scenarios require capacity licensing.
Natural language query—YesQ&A natural-language querying is listed by Microsoft as a Power BI-specific capability.
Integrations verified20+100+
Aggregate rating4.4 · 144 reviews4.6 · 1.9k reviews
Integrations
PostgreSQLMySQLMongoDBSnowflakeAmazon RedshiftGoogle BigQuery+9 more
Microsoft ExcelSharePointMicrosoft TeamsAzure SQL DatabaseAzure Synapse AnalyticsAzure Databricks+14 more
Security & compliance
SOC 2 Type II
SOC 1 Type IISOC 2 Type IIISO/IEC 27001ISO/IEC 27018+3 more
Pros
  • Open-source edition is always free and can be self-hosted.
  • Friendly interface for both SQL users and business stakeholders.
  • Supports internal dashboards, scheduled subscriptions, alerts, and embedded analytics.
  • Broad database coverage and a clear path to AI-assisted querying.
  • Deepest integration of any BI tool with the Microsoft stack — Excel, Microsoft 365, Teams, SharePoint, Dynamics 365, and Azure — which is the single most cited reason Microsoft-centric orgs pick it.
  • Very broad connector library (100+ data sources through Power Query), noticeably wider than competitors, with front-end visualization depth called out as an advantage over Looker.
  • Strong, flexible visualization and dashboarding layer with a large custom-visuals marketplace, rated ~96% positive on Capterra for interactive/customizable dashboards.
  • Market dominance translates into a large talent pool and abundant training, and it is the common migration target from Qlik, BusinessObjects, and MicroStrategy.
Cons
  • Visualization customization and advanced analytics lag heavyweight BI suites.
  • Large or complex workloads can expose database and query-performance bottlenecks.
  • SSO, audit logs, fine-grained permissions, and some embedding controls are paid-plan features.
  • Self-hosting adds upgrade, availability, and security-operations responsibility.
  • Performance degrades on large or complex semantic models — the most common complaint on Capterra (~76% negative on 'resource-intensive with large datasets'), and echoed in community threads about slow DAX and rendering.
  • Licensing is genuinely confusing: Pro vs. Premium Per User vs. Fabric capacity, and capabilities like external-email subscriptions and data-driven distribution get gated behind capacity SKUs, which regularly produces mis-sized purchases.
  • Report-authoring UX has rough edges practitioners raise repeatedly — formatting menus that differ per visual type, DAX errors that only surface after saving, and no simple duplicate-measure action; Capterra shows ~40% negative on navigation being complex or unintuitive.
  • Renaming measures or columns can break downstream visuals rather than resolving by a stable internal ID, which makes semantic-model refactoring risky.
  • Report authoring is Windows-only — Power BI Desktop has no macOS or Linux build.
Visit Metabase ↗Visit Microsoft Power BI ↗