> ## Documentation Index > Fetch the complete documentation index at: https://docs.dibby.ai/llms.txt > Use this file to discover all available pages before exploring further. # Tables > Store and manage data with dibby's internal tables ## Overview
Application interface
Tables in dibby provide internal data storage for your workflows. They allow you to persist data, create lookups, maintain state, and build databases without external dependencies. ## 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 ## Next steps Learn how to read from tables Learn how to write to tables