Overview
What are tables?
Tables are structured data stores within dibby that enable:- Data persistence — Store data between workflow runs
- Lookup and enrichment — Query existing data during processing
- State management — Track processing status and history
- Data collection — Accumulate data over time
- Deduplication — Check for existing records before processing
Table views
Create custom views to organize and work with your table data based on your specific needs.Filtering
Apply filters to show only the rows that matter:- Filter by any column value
- Save filter configurations for reuse
- Focus on specific data subsets
Sorting
Organize your data for easy analysis:- Sort by any column (ascending or descending)
- Multi-level sorting support
- Preserve sort preferences per view
Custom views
Create and save multiple views per table:- Each view has its own filters and sorting rules
- Switch between views to focus on different scenarios
- Work on the same data in different ways
- Tailor views to your workflow needs