Audyense·
Side-by-side record

Alloy.ai 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 Alloy.ai at $1,531. Alloy.ai carries the higher aggregate rating (4.6/5 vs 4.5/5).

Full comparison

Alloy.aifrom $1,531 per month
Modefrom Free
Audyense Score61ASFair56AS*Fair
PositioningDemand and inventory control tower for consumer brandsAnalyst-first BI combining SQL, Python, R, dashboards, and advanced analytics.
Free tierNoYes
DeploymentCloud / SaaSCloud / SaaS
Best fitMid-market, EnterpriseSMB, Mid-market, Enterprise
Pricing plans
  • Base$1,531
  • StudioFree
  • BusinessCustom pricing
  • EnterpriseCustom pricing
450+ data source integrationsYes
AI Replenishment AgentYes
AI Performance Reporting AgentYes
Natural-language data analysis (Lens)Yes
SKU-location level real-time monitoringYes
Python and R notebooksYes
Interactive dashboardsYes
Reusable datasetsYes
Governed metricsYesSupports dbt Semantic Layer integration.
Custom data appsYes
Advanced analyticsYes
Role-based access controlYesEnterprise feature.
SQL editorYes
Integrations verified450+
Aggregate rating4.6 · 24 reviews4.5 · 330 reviews
Integrations
SnowflakeAmazon RedshiftGoogle BigQueryPostgreSQLMySQLMicrosoft SQL Server+6 more
Security & compliance
SOC 2 Type II
Pros
  • Recognized as a Leader in G2's Retail Analytics grid and High Performer in Demand Planning
  • High reported ease-of-use and support satisfaction from reviewers
  • 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
  • Minimum one-year commitment across all tiers
  • 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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