Grist
Last Updated on: Feb 15, 2026
Grist
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AI Workflow Management
AI Task Management
AI Project Management
AI Knowledge Management
AI Product Management
AI Log Management
AI Contract Management
AI Productivity Tools
AI Assistant
AI Spreadsheet
AI Knowledge Graph
AI Knowledge Base
AI Analytics Assistant
AI Developer Tools
What is Grist?
Grist is a collaborative spreadsheet platform designed to help teams build powerful relational data applications while retaining the familiar feel of a spreadsheet. Instead of limiting users to flat tables and formulas, Grist allows data to be structured relationally, enabling more complex logic, references, and workflows. It combines the flexibility of spreadsheets with the rigor of databases, making it suitable for internal tools, operational dashboards, trackers, and lightweight business applications. Being open-source and self-hostable, Grist gives organizations full control over their data, security, and infrastructure.
Who can use Grist & how?
  • Operations Teams: Build internal tools and trackers.
  • Product Managers: Manage relational data without engineering effort.
  • Analysts: Work with structured, connected datasets.
  • Small Businesses: Replace complex spreadsheets with robust apps.
  • Enterprises: Maintain data control with self-hosted deployments.
  • Developers: Extend and customize open-source functionality.

How to Use It?
  • Create a document: Start with a spreadsheet-style table.
  • Define relations: Link tables for structured data modeling.
  • Add logic: Use formulas and rules to automate behavior.
  • Customize views: Build forms, summaries, and dashboards.
  • Collaborate: Share access and work in real time.
  • Deploy securely: Host and manage data under your control.
What's so unique or special about Grist?
  • Relational spreadsheets: Combines spreadsheets with database logic.
  • Open-source control: Full ownership of data and infrastructure.
  • Business-ready apps: Build tools without full development cycles.
  • Collaborative by design: Multi-user workflows with permissions.
  • Flexible customization: Adapt to many internal use cases.
  • Secure deployment options: Ideal for sensitive business data.
Things We Like
  • Familiar spreadsheet experience.
  • Powerful relational data modeling.
  • Strong focus on data ownership.
  • Suitable for internal tools.
  • Open-source flexibility.
  • Reduces reliance on heavy software builds.
Things We Don't Like
  • Requires learning relational concepts.
  • Not a replacement for full-scale databases.
  • Advanced setups may need technical input.
  • UI may feel different from classic spreadsheets.
  • Some features require configuration.
  • Not aimed at casual personal use.
Photos & Videos
Screenshot 1
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Pricing
Freemium

Free

Free

For individuals and teams working on small projects.
Unlimited number of documents
Up to 5,000 records per document
Snapshot history goes back 30 days
100 AI Assistant credits (one time)

Pro

$ 10.00

Extra space for growing teams.
Everything in Free, plus:
Up to 100,000 records per document
Snapshot history goes back 3 years
Starting at 100 AI Assistant credits per month

Business

$ 30.00

Power, flexibility and expert support for larger teams.
*Minimum 5 users.
Everything in Pro, plus:
Up to 150,000 records per document
Snapshot history goes back 5 years
Starting at 2,000 AI Assistant credits per month
Priority email support

Enterprise

Custom

Advanced customization, security, and governance.
Enterprise-level support and training services for your org.
Everything in Business, plus:
Dedicated server
Custom SSO
Custom domain
Custom branding
Admin controls
Audit log streaming
Multiple team sites
Grist Training Workshop
Grist Solutions
ATB Embeds
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Popular Mention

FAQs

Grist supports relational data, enabling complex connections and logic beyond flat tables.
Yes—it is open-source and can be self-hosted for full control.
Yes—business users can build powerful tools without coding.
Yes—security and data ownership are core design priorities.
For many workflows, yes—it can replace custom-built internal apps.

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Editorial Note

This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.

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