Structured Datastore
Spreadsheet-like databases with schemas, natural language queries, and
AI-powered analysis
Unstructured Datastore
Flexible JSON storage for any data structure without schema requirements
Database Types
Structured Database Tables
- Spreadsheet-like interface with defined columns
- Schema-based validation ensures data consistency
- Inline editing for quick updates
- Perfect for: customer databases, inventory, contact lists, structured records
Unstructured Databases
- Flexible JSON storage for any data structure
- No schema requirements or validation
- Store strings, numbers, objects, or arrays
- Perfect for: logs, API responses, configuration, dynamic content
Key Features
- Structured Tables: Define columns with types (string, number, boolean, date, select)
- Inline Editing: Click cells to edit data directly in spreadsheet view
- Advanced Search: Fuzzy, exact, and prefix matching with configurable thresholds
- Event Triggers: Automatically start workflows when data changes (onCreate, onEdit, onDelete)
- Batch Operations: Create up to 500 items in a single operation
- Multiple Access Methods: Access items by key, key+sortField, or unique itemId
Common Use Cases
Structured Database Tables:- Customer and contact databases
- Product catalogs and inventory management
- Employee records and HR data
- Sales leads and CRM data
- Any data that benefits from defined columns
- Application logs and event tracking
- API response caching
- Configuration and settings
- Dynamic content and JSON storage
- Queue systems and task management
Using with Workflows
Select a data collection from the slash command menu to automatically preset the collection ID. Use/selected-datastore-structured for structured collections or /selected-datastore for unstructured collections.
For complete usage details and examples:

