Tables

Tables let you store and manage structured data directly in your workspace, organized into databases. Use them to maintain reference data, collect workflow outputs, or build lightweight data stores — all without leaving SteelEngine.

Each table has a schema of typed columns, supports filtering and sorting, and is fully accessible through the Tables API.

Creating a Table

1. Open the Databases section from your workspace sidebar
2. Open the database that should contain the table, or create one with New database
3. Click New table
4. Name your table and start adding columns

Table names must be unique within their database. Tables start with a single text column. Add more columns by clicking New column in the column header area.

Column Types

Each column has a type that determines how values are stored and validated.

Working with Rows

Adding Rows

• Click New row below the last row to append a new row
• Press Shift + Enter while a cell is selected to insert a row below
• Paste tabular data (from a spreadsheet or TSV) to bulk-create rows

Editing Cells

Click a cell to select it, then press Enter, F2, or start typing to edit. Press Escape to cancel, or Tab to save and move to the next cell.

Selecting Rows

Click a row's checkbox to select it. Selecting additional checkboxes adds to the selection without clearing previous selections.

Deleting Rows

Right-click a selected row (or group of selected rows) and choose Delete row from the context menu.

Filtering and Sorting

Use the toolbar above the table to filter and sort your data.

• Filter: Set conditions on any column (e.g., "Name contains Acme"). Multiple filters are combined with AND logic.
• Sort: Order rows by any column, ascending or descending.

Filters and sorts are applied in real time and do not modify the underlying data.

Keyboard Shortcuts

All shortcuts work when the table is focused and no cell is being edited.

Navigation

Selection

Editing

Clipboard

History

Using Tables in Workflows

Tables can be read from and written to within your workflows using the Table block. Common patterns include:

• Lookup: Query a table for reference data (e.g., pricing rules, customer metadata)
• Write-back: Store workflow outputs in a table for later review or reporting
• Iteration: Process each row in a table as part of a batch workflow

API Access

Tables are fully accessible through the REST API. You can create, read, update, and delete both tables and rows programmatically.

See the Tables API Reference for endpoints, parameters, and examples.

Limits

Limits are per workspace, set by the workspace's billing plan:

Additional structural limits apply regardless of plan:

• 50 databases per workspace
• 50 columns per table
• 100 KB per row
• 10,000 characters per text value
• 1,000 rows per batch insert / bulk update / bulk delete
• 1,000 rows per query result (default 100)

Best Practices

• Use typed columns to enforce data integrity — prefer Number and Boolean over storing everything as Text
• Name columns descriptively so they are self-documenting when referenced in workflows
• Use JSON columns sparingly — they are flexible but harder to filter and sort against
• Leverage the API for bulk imports rather than manually entering large datasets