Amplitude vs Cube

Side-by-side comparison to help you choose the best tool.

Amplitude

freemium

Data & Analytics

4.6 / 5.0

Amplitude is a leading digital analytics platform that helps product teams understand user behaviour at scale. Its AI Ask Amplitude feature lets you query your data in plain English, while automated data surface retention drivers, drop-off points, and growth opportunities - all without writing a single SQL query.

Best for: Product and growth teams at scaling startups who need deep behavioural analytics without a data team

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Cube

paid

Data & Analytics

4.2 / 5.0

Cube is a connected FP&A platform that sits on top of existing Excel and Google Sheets workflows, adding AI planning, multi-source data consolidation, and automated reporting without forcing finance teams to abandon their familiar spreadsheet tools. Its AI assists with variance analysis, forecast generation, and identifying anomalies across consolidated financial data. Cube bridges the gap between the flexibility of spreadsheets and the power of a dedicated FP&A system.

Best for: Finance teams wanting the power of a dedicated FP&A platform while keeping their existing Excel or Google Sheets workflows.

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Feature Comparison

Feature	Amplitude	Cube
Pricing	freemium	paid
Category	Data & Analytics	Data & Analytics
Rating	★★★★½ 4.6	★★★★☆ 4.2
Best For	Product and growth teams at scaling startups who need deep behavioural analytics without a data team	Finance teams wanting the power of a dedicated FP&A platform while keeping their existing Excel or Google Sheets workflows.
Views	4	4

Pros & Cons — Amplitude

Pros

Intuitive charts and dashboards
Powerful cohort builder
Strong free plan for startups

Cons

Can be overwhelming for small teams
Advanced features locked to paid plans

Pros & Cons — Cube

Pros

Preserves existing spreadsheet workflows while adding FP&A power
Fast time-to-value compared to replacing spreadsheets entirely
Solid data consolidation from multiple financial systems

Cons

Relies heavily on spreadsheet proficiency which can limit advanced modelling
Some features feel less polished than purpose-built FP&A platforms

Key Features — Amplitude

Natural language data queries
Behavioural cohorts
Retention & funnel analysis
AI-powered recommendations
Experiment analysis

Key Features — Cube

Excel and Google Sheets integration
AI-powered financial consolidation
Automated variance analysis
Multi-source data integration
Collaborative planning and reporting

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