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PaidInformation reviewed 2026-10-15

Baserow

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About this listing

Product and access model reviewed from current official sources; workflow and example are editorial suggestions, not a hands-on test.

Official source

Build data-driven apps and workflows with AI fields, document extraction, formulas, and an assistant around structured records.

Best suited to

Baserow suits teams organizing business data in a no-code database and adding AI operations to specific fields or workflows.

Meet Baserow

Baserow suits teams organizing business data in a no-code database and adding AI operations to specific fields or workflows. Its database, application and automation features share records, but AI access has separate plan gates. Begin with sample rows and a read-only operation. A generated field is a suggestion to validate before it drives a decision or changes another system.

A practical workflow

  1. Create a small table with permitted sample data.
  2. Choose an eligible AI field or extraction operation.
  3. Specify the expected output and missing-value handling.
  4. Check rows and permissions before connecting downstream actions.

Illustrative input

This example describes a task, not a tested output. Adjust the source material and settings to your own situation.

Extract the supplier name and explicitly stated invoice date into separate fields, using blank values when the source omits them.

Result check: Compare each cell with the document and inspect how invalid or missing data is represented.

Access and alternatives

Baserow provides free core database options, but its current plan table gates AI features under eligible paid access. Model providers, hosting and automation capacity can add separate constraints. This listing's Paid label describes the AI workflow; check cloud and self-hosted licensing rather than assuming free database software includes all AI tools.

Choose another workflow when its emphasis fits better: Appsmith for a more code-customizable internal app workflow; Budibase for another data-and-agent application platform.

Illustrative workspace photo
Illustrative stock photo from Unsplash; not a screenshot of Baserow.

What you can do

No-code database

AI fields

Document extraction

AI formula assistance

Data-driven application builder

Where it helps

  • Structured rows make outputs easy to compare
  • Apps and automations can use the same data
  • Field-level tasks allow a narrow first evaluation

What to consider

  • AI features have separate plan gates
  • Generated data needs validation before downstream use

Pricing & free access

Official pricing
Paid

Baserow provides free core database options, but its current plan table gates AI features under eligible paid access. Model providers, hosting and automation capacity can add separate constraints. This listing's Paid label describes the AI workflow; check cloud and self-hosted licensing rather than assuming free database software includes all AI tools.

Plan information can change. Prices and conditions are set by the provider. Information checked 2026-10-15.

Source for access details

Weekly AI tool changes in No-Code / Low-Code

One email a week with pricing and feature changes in this category. No per-tool price alerts.

Questions about Baserow

Who is Baserow useful for?

Baserow suits teams organizing business data in a no-code database and adding AI operations to specific fields or workflows. Its database, application and automation features share records, but AI access has separate plan gates. Begin with sample rows and a read-only operation. A generated field is a suggestion to validate before it drives a decision or changes another system.

Does Baserow have continuing free access?

Baserow provides free core database options, but its current plan table gates AI features under eligible paid access. Model providers, hosting and automation capacity can add separate constraints. This listing's Paid label describes the AI workflow; check cloud and self-hosted licensing rather than assuming free database software includes all AI tools.

How should I start a small evaluation?

Create a small table with permitted sample data. Choose an eligible AI field or extraction operation.

What should I check in the result?

Compare each cell with the document and inspect how invalid or missing data is represented.

When should I choose a different workflow?

Appsmith for a more code-customizable internal app workflow; Budibase for another data-and-agent application platform.

Did this help you complete your task?

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Review evidence

Documentation-based review · 2026-10-15

Reviewed from the linked official documentation. The workflow and example are editorial suggestions; no account-level product test or measured performance comparison was performed.

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