Fields that match your data
Represent dates, amounts, owners, statuses, checkboxes, formulas, and linked records with purpose-built field types.
Structured work, without a rigid database
Build a table around the way your team works
Create a flexible no-code workspace with custom field types, connected records, formulas, filters, and spreadsheet imports. Organize business data around the way your team works.
- Flexible field types
- Connected records
- Excel and CSV import
Table workspace screenshot
Show a real table with field types, filters, and a linked-record column.
How it works
Go from spreadsheet to shared workspace
Start with the records your team already tracks, then add structure only where it makes the work clearer.
- 01
Bring in your records
Create a table from scratch or import an .xlsx, .xls, or .csv file to use your existing data as a starting point.
- 02
Choose the right fields
Use text, number, currency, duration, date, checkbox, single-select, multi-select, person, formula, relation, and lookup fields where they fit.
- 03
Connect related work
Link records between tables and use lookup fields to show related information without keeping duplicate copies.
- 04
Work in the grid
Sort, filter, search, edit cells, and save useful views so each team member can focus on the records relevant to their role.
What you can do
A practical structure for everyday work
Keep the flexibility of a spreadsheet while making records more consistent and easier to work with as a team.
Related records
Connect tables such as customers and projects, then display selected values from related records with lookup fields.
Focused views
Filter and sort records for a specific task, then save the view for quick access later.
Spreadsheet import and export
Use Excel and CSV files to get started or move a copy of your table data when needed.
A practical example
Example: a customer request tracker
A team can keep each request in one row and use fields for customer, category, owner, due date, status, and next step. A linked customer table can hold contact details once and connect them to related requests.
Smart tables
Example workflow
- 1Bring in your recordsCreate a table from scratch or import an .xlsx, .xls, or .csv file to use your existing data as a starting point.
- 2Choose the right fieldsUse text, number, currency, duration, date, checkbox, single-select, multi-select, person, formula, relation, and lookup fields where they fit.
- 3Connect related workLink records between tables and use lookup fields to show related information without keeping duplicate copies.
Common questions
What to know before you get started
Can I start from an Excel file?
Yes. The table creation flow accepts .xlsx, .xls, and .csv files so you can begin with existing records.
Can I connect records in different tables?
Yes. Relation fields connect records between tables, and lookup fields can display selected values from a related record.
Can I use formulas?
Yes. Formula fields are available for calculated values. The formula editor determines which expressions and references are supported.
Explore related features
Automations
Create automations for a selected organization and table. Choose when a workflow starts, add record conditions, and configure an action such as an in-app notification, email, field update, assignment, or approval request.
Explore featureAnalytics & dashboards
Explore business data with table analytics, charts, dashboard widgets, and filters. Keep reporting connected to the records your team updates.
Explore featureTeam collaboration
Invite organization members, manage roles and table permissions, and coordinate around shared records. Keep access decisions understandable as your team grows.
Explore featureSee it with your workflow
Start with one process. Build from there.
Try DataGridly with your own records or book a walkthrough focused on the way your team works.