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Metabase vs. Mode

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 Mode at Free. Mode carries the higher aggregate rating (4.5/5 vs 4.4/5).

Full comparison

Metabasefrom Free
Modefrom Free
Audyense Score62ASFair56AS*Fair
PositioningOpen-source BI that makes dashboards and self-serve analytics approachable.Analyst-first BI combining SQL, Python, R, dashboards, and advanced analytics.
Free tierYesYes
DeploymentCloud / SaaS, On-premiseCloud / SaaS
Best fitStartup, SMB, Mid-market, EnterpriseSMB, Mid-market, Enterprise
Pricing plans
  • Open SourceFree
  • Starter$85
  • Pro$500
  • EnterpriseCustom pricing
  • StudioFree
  • BusinessCustom pricing
  • EnterpriseCustom pricing
Embedded analyticsYes—
SSOYesSAML/OIDC are commercial features.—
Open-source deploymentYes—
SQL editorYesYes
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.—
Python and R notebooks—Yes
Interactive dashboards—Yes
Reusable datasets—Yes
Governed metrics—YesSupports dbt Semantic Layer integration.
Custom data apps—Yes
Advanced analytics—Yes
Role-based access control—YesEnterprise feature.
Integrations verified20+—
Aggregate rating4.4 · 144 reviews4.5 · 330 reviews
Integrations
PostgreSQLMySQLMongoDBSnowflakeAmazon RedshiftGoogle BigQuery+9 more
SnowflakeAmazon RedshiftGoogle BigQueryPostgreSQLMySQLMicrosoft SQL Server+6 more
Security & compliance
SOC 2 Type II
—
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.
  • Native SQL, Python, and R workflow with results flowing into dashboards and reports.
  • Strong bridge between ad hoc analysis, advanced analytics, and self-serve reporting.
  • Reusable datasets and governed metrics reduce repeated analyst work.
  • Custom data apps and embedded analytics expand the use case beyond static dashboards.
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.
  • The platform is optimized for analyst-led teams rather than pure business-user self-service.
  • Enterprise identity, access, and support capabilities are not part of the free Studio tier.
  • Pricing and packaging are less transparent for Business and Enterprise.
  • Python/R environments and warehouse performance still require data-team administration.
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