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Amplitude 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

Mode starts at Free per seat, versus Amplitude at Custom pricing. Amplitude carries the higher aggregate rating (4.6/5 vs 4.5/5).

Full comparison

Amplitudefrom Custom pricing
Modefrom Free
Audyense Score54AS*Low56AS*Fair
PositioningAdvanced product analytics platformAnalyst-first BI combining SQL, Python, R, dashboards, and advanced analytics.
Free tierYesYes
DeploymentCloud / SaaSCloud / SaaS
Best fitSMB, Mid-market, EnterpriseSMB, Mid-market, Enterprise
Pricing plans
  • FreeFree
  • PlusCustom pricing
  • GrowthCustom pricing
  • EnterpriseCustom pricing
  • StudioFree
  • BusinessCustom pricing
  • EnterpriseCustom pricing
Product analyticsYes—
Session replayYes—
ExperimentationYes—
Guides and surveysYes—
SSOYesGrowth plan and above—
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.
SQL editor—Yes
Integrations verified——
Aggregate rating4.6 · 3.8k reviews4.5 · 330 reviews
Integrations—
SnowflakeAmazon RedshiftGoogle BigQueryPostgreSQLMySQLMicrosoft SQL Server+6 more
Security & compliance——
Pros
  • Advanced analytics
  • AI-powered insights
  • Enterprise support
  • 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
  • Steep learning curve
  • MTU pricing complexity
  • 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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