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Head-to-head · AI Data Analysis Tools

Quadratic vs Byaan

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Quadratic #6 in AI Data Analysis Tools 7.9/10 Free plan Free plan✓ 4 of 4 features Visit Quadratic
Byaan #9 in AI Data Analysis Tools 7.6/10 Free plan Free plan✓ 4 of 4 features Visit Byaan

Quadratic leads on 0 checks, Byaan on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreQuadratic · 7.9/10
  • Free planboth

Quadratic scores higher on our rubric for ai data analysis tools: 7.9 against 7.6 out of 10; our editors rank them #6 and #9.

Quadratic is the better fit for collaborative spreadsheet and SQL analysis. Byaan is the better fit for open-source teams analyzing databases and files.

  • Quadratic fits best

    Collaborative spreadsheet and SQL analysis

  • Byaan fits best

    Open-source teams analyzing databases and files

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Side by side

Feature Quadratic 7.9/10 Visit ↗ Byaan 7.6/10 Visit ↗
At a glance
Editor score 7.9 7.6
Ranking #6 in AI Data Analysis Tools #9 in AI Data Analysis Tools
Best for Collaborative spreadsheet and SQL analysis Open-source teams analyzing databases and files
Pricing model Free plan + paid Free
Starting price — Free
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted Cloud, Desktop
Platforms Web Web, macOS, Linux
Integrations 15 integrations 13 integrations
Features Quadratic 4/4 · Byaan 4/4
SQL connections ✓ ✓
Natural-language queries ✓ ✓
AI visualizations ✓ ✓
Team collaboration ✓ ✓
Specs
File imports CSV, Excel/XLSX, Parquet, PDF, Google Sheets CSV, Excel, Parquet, JSON
Maximum upload size Not checked yet Not checked yet
Export formats Excel/XLSX, CSV, Quadratic/Grid, PNG, PDF HTML, PDF, Excel
Our review
Pros
  • Combines natural-language AI with Python, SQL, JavaScript, and formulas
  • Queries connected databases and returns live results in the spreadsheet
  • Supports real-time collaboration, scheduled refreshes, and exports
  • Queries databases and CSV, Excel, Parquet, and JSON files in natural language
  • Read-only guardrails block DDL and DML; dashboards and reports can be exported
  • MCP support and shared dashboards, queries, and skills connect analysis to team workflows
Cons
  • Personal has limited AI usage, sharing, files, connections, and support
  • Pro and Business plans have annual billing
  • Business and Enterprise may be more than solo spreadsheet users need
  • Mac app is limited to macOS; the team version requires a Docker deployment
  • Team features use differing license terms across the official website and GitHub README
  • AI use requires bringing a model provider, adding a separate configuration step
Our verdict

Quadratic brings spreadsheet work together with natural-language AI assistance, Python, SQL, and JavaScript. It is aimed at individuals and teams analyzing structured data who want to work with files or connected databases, create charts,…

Read the review →

Byaan is an AI data-analysis agent for teams and builders who want to ask natural-language questions about databases and files. It connects to PostgreSQL, MongoDB, MySQL, MariaDB, SQLite, MSSQL, DuckDB, and ODBC, as well as CSV, Excel,…

Read the review →
  1. QuadraticAI Data Analysis Tools 7.9Free plan
  2. ByaanAI Data Analysis Tools 7.6Free plan

Strengths and trade-offs

  • Quadratic — where it wins

    • Combines natural-language AI with Python, SQL, JavaScript, and formulas
    • Queries connected databases and returns live results in the spreadsheet
    • Supports real-time collaboration, scheduled refreshes, and exports

    Where it doesn't

    • Personal has limited AI usage, sharing, files, connections, and support
    • Pro and Business plans have annual billing
    • Business and Enterprise may be more than solo spreadsheet users need
  • Byaan — where it wins

    • Queries databases and CSV, Excel, Parquet, and JSON files in natural language
    • Read-only guardrails block DDL and DML; dashboards and reports can be exported
    • MCP support and shared dashboards, queries, and skills connect analysis to team workflows

    Where it doesn't

    • Mac app is limited to macOS; the team version requires a Docker deployment
    • Team features use differing license terms across the official website and GitHub README
    • AI use requires bringing a model provider, adding a separate configuration step

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update