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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

54K visits/mo
devActivity logo
devActivity
✓ verifiedFreemium

GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.

52K visits/mo
Basedash logo
Basedash
✓ verifiedFree trial

AI-native business intelligence on a governed semantic layer, generating trusted charts, dashboards and answers.

47K visits/mo1.4K saves
insightsoftware logo
insightsoftware
✓ verifiedPaid

Suite of financial reporting, BI, budgeting and EPM tools that connect to 140+ ERPs for finance teams' close, planning and disclosure.

271K visits/mo
Quadratic Multiplayer logo
Quadratic Multiplayer
✓ verifiedFreemium

AI-native spreadsheet connecting live databases and files, letting teams query and chart data with AI, Python, or SQL.

119K visits/mo
Pricing
Starter: Free forever
Professional: $19 /mo
Free: $0/contributor (up to 7 contributors, 90-day retention)
Premium: $10/contributor (unlimited contributors, AI insights)
Startup: $1,000/mo (up to 25 users, plus AI usage)

Free trial available

No public pricing

Pro: $18/user/month billed annually ($20 AI credits/mo)
Business: $36/user/month billed annually (2x AI credits)
Core features
  • Natural language to spreadsheet generation
  • Live formulas, charts, and pivot tables
  • Automated data integration (Stripe, QuickBooks, Epic, HubSpot, SQL databases, etc.)
  • PDF OCR and data extraction
  • Smart Context (AI remembers goals, data sources, tasks)
  • 50+ AI Tools (formatting, data validation, web search, financial APIs, SQL queries)
  • HIPAA compliance with BAA available
  • Automated data synchronization
  • Export to Excel, CSV, or Google Sheets
  • Contribution and work-quality analytics
  • Automated, AI-powered performance reviews
  • Retrospective insights
  • Operational bottleneck alerts
  • Gamification with XP, levels and leaderboards
  • Uses Git metadata without accessing source code
  • AI data analyst for trusted answers
  • Prompt-generated dashboards and reports
  • Governed semantic layer of reusable metrics
  • 750+ data-source and warehouse connections
  • Automations, insights and MCP server
  • SOC 2 Type II, SSO and self-hosting
  • Excel and web ERP reporting (Spreadsheet Server, Wands, Jet)
  • Financial planning and budgeting
  • Account reconciliation and financial close
  • Tax, transfer pricing and disclosure management
  • Embedded analytics for ISVs (Logi)
  • Connectors for 140+ ERPs
  • Connects to Postgres, MySQL, Snowflake, BigQuery and other live databases
  • Imports CSV, Excel and PDF files alongside database connections
  • AI agent writes formulas, code and charts from plain-English prompts
  • Supports Python, SQL, formulas and JavaScript in the same sheet
  • Built-in connectors for QuickBooks, Google Analytics, Mixpanel and Plaid
  • MCP support so external AI agents can read/write spreadsheet cells
  • REST API for triggering AI runs and manipulating cells programmatically
  • Scheduled tasks and PDF data extraction
Use cases
  • Monitor HubSpot sales pipeline performance, track conversion rates, and generate executive summaries.
  • Automate financial reporting by pulling revenue from Stripe, expenses from QuickBooks, and pipeline data from HubSpot to generate MRR dashboards, churn analysis, and investor reports.
  • Perform healthcare data analysis by integrating with EHR/EMR systems like PointClickCare and Epic to pull patient medication data, calculate per-resident P&L, and analyze reimbursements.
  • Convert uploaded invoices (PDFs) into structured spreadsheet data with formulas applied automatically.
  • Query databases like PostgreSQL, MySQL, and Supabase using natural language to populate spreadsheets with live data.
  • Automating developer performance reviews
  • Spotting delivery bottlenecks
  • Generating retrospective insights
  • Motivating teams via gamification
  • Generating dashboards from a description
  • Asking natural-language questions of business data
  • Standardizing trusted metrics across teams
  • Embedding charts and self-hosting for compliance
  • Automating financial and management reporting
  • Budgeting and financial planning
  • Month-end close and reconciliation
  • Regulatory and tax reporting
  • Lease accounting
  • Finance teams building recurring, auditable financial reports
  • Analysts combining multiple data sources into one live dashboard
  • Traders and investors tracking market and portfolio data
  • Product and sales teams generating forecasts and charts without formulas
  • Teams wanting an AI agent to verify and edit spreadsheet work directly
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