Database structure, spreadsheet interface
Take a quick tour of the Grist interface, customizable widgets, and relational capabilities.
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Grist vs Baserow
Compare Grist and Baserow – both no-code, self-hostable data tools – and see why businesses that need more flexibility, familiarity, and security choose Grist.
| Baserow | Grist | |
|---|---|---|
| Relational data | ✔ | ✔ |
| Self-hostable | ✔ | ✔ |
| Real-time collaboration | ✔ | ✔ |
| Automations | ✔ | ✔ |
| AI assistant | ✔ | ✔ |
| Data types / structured data | ✔ | ✔ |
| REST API / webhooks | ✔ | ✔ |
| Forms | ✔ | ✔ |
| Integrations | ✔ | ✔ |
| App building | ✔ | ✔ |
| User-created views | X | ✔ |
| Spreadsheet formulas | X | Most Excel/Google Sheets formulas supported. |
| Python support | X | Native Python support for advanced calculations and data manipulation. |
| Granular access controls | No row-level controls. Advanced permissions limited to highest-tier paid plan. | Access controls down to the individual cell level on all plans, even free. |
| Visualizations | Kanban, survey & calendar views limited to paid plans. | No view limits by plan. |
| Solutions | Third-party solution building available. | In-house and third-party solution building. |
| Row limits | 3,000 (Free), 250,000 (Paid). | 5,000 (Free), 150,000 (Paid). |
Baserow vs Grist
Both Grist and Baserow offer self-hostable, no-code, spreadsheet-database hybrids.
Grist stands out for spreadsheet-loving teams. Its interface, keyboard shortcuts, and formula language feel familiar, making adoption easy across wider teams.
For building secure, tailored workflows, Grist offers deeper flexibility. Python support unlocks advanced analysis, and custom views let you read and write to your data, your way.
While Baserow supports table and field-level permissions, Grist goes further, with fine-grained rules down to each row and cell.
How Baserow compares to Grist
Users looking to create dashboards or applications from their data choose Grist and Baserow for their relational structure, integrations, and self-hostability.
Baserow users recommend the platform for its approachable UX/UI, API connectivity, and its ability to be self-hosted.
However, businesses looking for a more spreadsheet-like experience that provides the same robust database structure find that Baserow falls short against Grist as a collaborative data management solution.
Why businesses choose Baserow
User experience and interface
- User praise the simple interface and user experience as standing out from database-focused solutions.
- Users are excited about the new App Builder feature.
- An extensive library of templates (Grist also includes templates).
API & integrations
- Well-documented and fully-featured API.
- Extensive third-party integrations and automations.
- Users report that Baserow works well with other databases.
- Detailed documentation and learning resources.
Self-hosting
- Many users define this as the main reason for choosing Baserow.
- Source code available on GitLab (Grist’s source code is available on GitHub).
- Businesses are able to be confident that their data remains on their own servers.
Ease of use
- Simple setup and migration from existing data sources.
- Approachable for teams and non-technical users with little to no database management experience.
What are the disadvantages of Baserow?
Low row limits on paid plans: Premium plans ($10-12/month) are limited to 50,000 rows per base.
Email support and advanced permissions: Limited to highest-tier paid plan (Advanced).
Limited formula power: technical users may find they need more robust calculation capabilities, such as native Python support.
Application Builder in early stages: users reporting that while the Application Builder is promising, its current state may be limited.
Performance concerns: some users report slow UI and loading times.
No WYSIWYG editing: Modifying text fields offers restricted display options.
Why businesses choose Grist
Spreadsheet interface
A relational backend with a familiar and user-friendly spreadsheet frontend. Everyone can work from the same data regardless of database/SQL expertise.
Data manipulation
Full Python support + Excel-like functions. Built-in drag-and-drop dashboards and custom-coded views — all in an SQLite file. Trigger formulas for automation and data integrity.
Granular access control
Evolved from traditional CRUD permissions, users can define who can view and edit specifics parts of a document — down to the individual cell level.