Sourcetable

Sourcetable

Sourcetable is a cloud spreadsheet built for data analysis and data science. It combines familiar Excel-style grids with natural language chat, Python scripting, and live connections to databases and SaaS tools. You can upload files, query Postgres or BigQuery, pull from Google Analytics or Stripe, and ask questions in plain English to get charts, summaries, and reports without leaving the workbook.

The platform targets analysts, finance teams, founders, marketers, and researchers who need to centralize data and run analysis without switching between spreadsheets, SQL clients, and notebooks. Features include an AI spreadsheet assistant, command bar for data cleaning, chart generator, template generator, synthetic data generator, and automated reporting that updates when source data changes. Sourcetable supports files up to 10GB and handles datasets well beyond typical spreadsheet row limits.

On the technical side, Sourcetable integrates Python libraries like Pandas, NumPy, SciPy, and Matplotlib alongside SQL editing and A1-style formulas. Data connectors cover PostgreSQL, MySQL, BigQuery, ClickHouse, DuckDB, Supabase, Google Ads, and GA4, with more available on higher tiers. Enterprise customers get SOC 2 compliance, SSO, BYOK encryption, and dedicated support. The company raised $43 million in funding and is based in San Francisco.

Top Features:
  1. Chat with your data in plain English and get instant insights, charts, and summaries

  2. Connect live to Postgres, BigQuery, GA4, Stripe, and dozens of other data sources

  3. Run Python, SQL, and Excel formulas in one workbook without switching tools

  4. Generate charts, templates, and synthetic test data from natural language prompts

  5. Analyze files up to 10GB with pivots, dashboards, and automated reporting

Pros:
  1. Combines spreadsheet familiarity with AI chat, Python, and SQL in one tool

  2. Live data connectors to databases and SaaS apps reduce manual exports

  3. Handles very large files up to 10GB, beyond typical spreadsheet limits

  4. Free tier available with no credit card required to start

  5. Enterprise security with SOC 2, HIPAA, and PCI compliance options

Cons:
  1. AI features are credit-limited on free and lower paid tiers

  2. Advanced data science and unlimited connectors require the Max plan

  3. Per-user pricing can add up quickly for larger teams

FAQs:

Is Sourcetable free to use?

Yes. The Regular plan is free per user with limited AI credits that reset daily. Paid Pro and Max plans add more monthly credits, premium models, and expanded connector access.

What data sources does Sourcetable support?

Sourcetable connects to databases like PostgreSQL, MySQL, BigQuery, ClickHouse, and DuckDB, plus tools like Google Analytics, Google Ads, and Supabase. It also accepts spreadsheet files, CSV, TSV, PDF, and JSON uploads.

Can I use Python in Sourcetable?

Yes. Sourcetable includes a Python toolkit with libraries like Pandas, NumPy, SciPy, Scikit-learn, Matplotlib, and Plotly. You can write code directly or ask the AI to generate it for you.

What is the maximum file size Sourcetable supports?

Sourcetable supports files up to 10GB. For very large datasets, using pivots and summaries helps the AI perform better.

Does Sourcetable offer a student discount?

Yes. Students and faculty receive a 50% discount on Pro and Max plans. Email [email protected] with your university email to claim it.

How secure is Sourcetable for enterprise teams?

Sourcetable meets SOC 2 Type 2, HIPAA, and PCI compliance standards. Enterprise plans add SSO, BYOK encryption, role-based access controls, and dedicated support.

Can Sourcetable analyze spreadsheets with multiple tabs?

Yes. The AI understands which tab your question refers to, including cross-tab lookups. You can also name specific tabs in your prompts for more control.

Category:

Pricing:

Freemium

Tags:

AI Spreadsheet
Data Analysis
Business Intelligence
Python Integration
SQL Queries
Data Visualization
Automated Reporting
Data Cleaning
Synthetic Data
Excel Templates

Tech used:

Python
Natural Language Processing
AI Models
Cloud APIs
Data Connectors
Ant Design
jQuery
Google Cloud
Google Tag Manager
Google Fonts
Ruby
Tailwind CSS

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