MCP ServerSending data between tables lets you move rows from one table to another inside your workspace. This is useful for building multi-step workflows where each stage of your pipeline lives in its own table.Documentation Index
Fetch the complete documentation index at: https://docs.databar.ai/llms.txt
Use this file to discover all available pages before exploring further.
Use cases
- Multi-step pipelines: move raw leads into a “Qualified leads” table after scoring, then into an “Enriched leads” table after enrichment.
- Separating source and output data: keep imported data untouched in one table while sending processed results to another.
- Appending automation results: route rows produced by automations or enrichments into a dedicated dataset for review.
How to set up
Open the export panel
Click Share/Export in the table toolbar, then select Send to another Databar table.
Choose the destination
Select an existing table from your workspace or choose Create new table to set up a fresh destination.
Map columns
Map the columns from your source table to the corresponding columns in the destination table. Use consistent column names across tables for easier mapping.
Sending a row copies it to the destination table. The original row remains in the source table.
Tips for multi-table workflows
- Name your tables by stage (e.g., “Raw leads”, “Verified leads”, “Enriched leads”) to keep your pipeline easy to follow.
- Use consistent column names across tables so values map automatically when sending rows.
- Combine with automations to trigger enrichments or exports as soon as data lands in a destination table.
Next steps
Tables overview
Learn how tables work in Databar.
Table lookup
Reference data from other tables without moving rows.
Enrichments
Automatically enrich rows in your destination table.
Exporters
Push data from any table to external services.