Embed in Notion & Confluence
In development
Native Notion and Confluence integrations are under development. The features are under development. The description below covers the planned functionality. Contact us to join the early access list.
What the Integration Will Provide
Notion Integration
- Embed block — Paste a TalkingSchema share link into Notion and get a rendered, interactive ERD canvas embedded inline in your page
- Auto-sync — When the schema updates in TalkingSchema, the Notion embed reflects the latest state — no manual re-export
- Page generation — Ask TalkingSchema's AI to generate a full Notion-formatted data dictionary from your schema: one page per table with column descriptions, relationships, and example values
Confluence Integration
- Macro — A Confluence macro that renders a live TalkingSchema ERD from a share link, embedded in any Confluence space
- Schema documentation page generator — Export a structured Confluence page from TalkingSchema: table-by-table documentation with column names, types, constraints, and relationship descriptions
Current Options: Share Now
While native integrations are in development, you can document your schema in Notion and Confluence today:
Option 1 — Export as image
- Open your ERD in TalkingSchema
- Click Export → Image → PNG or SVG
- Insert the image into your Notion page or Confluence page
- Re-export whenever the schema changes
Option 2 — Public share link
- Click Share to generate a public read-only link to your ERD
- Paste the link into Notion as an embed block (Notion will attempt to render the URL as an iframe)
- Or bookmark it in Confluence for one-click access
Option 3 — AI-generated data dictionary
Ask TalkingSchema's AI copilot to generate markdown-formatted table documentation:
Generate a data dictionary for this schema in Markdown format.
For each table: table name, purpose description, row count estimate,
and a column table with: column name, data type, nullable, constraints, description.
Paste the Markdown output directly into a Notion page or Confluence's Markdown importer.
Example: AI-Generated Data Dictionary for GSSC Schema
## suppliers
**Purpose:** Master record for all active and historical product suppliers.
Includes sustainability certification tier used for procurement scoring.
| Column | Type | Nullable | Constraints | Description |
| ------------- | ------------- | -------- | ------------- | ------------------------------------------------ |
| supplier_id | UUID | No | PRIMARY KEY | Auto-generated unique identifier |
| company_name | VARCHAR(200) | No | — | Legal trading name of the supplier |
| country | VARCHAR(100) | No | — | ISO country of primary operations |
| carbon_tier | ENUM(A,B,C,D) | No | — | Sustainability certification grade (A = highest) |
| certification | VARCHAR(100) | Yes | — | Name of certifying body (e.g., Gold Standard) |
| is_active | BOOLEAN | No | DEFAULT true | Soft-delete flag |
| created_at | TIMESTAMPTZ | No | DEFAULT now() | Record creation timestamp |
| updated_at | TIMESTAMPTZ | No | DEFAULT now() | Last modification timestamp |
**Relationships:**
- `products.supplier_id` → `suppliers.supplier_id` (one supplier, many products)
- `purchase_orders.supplier_id` → `suppliers.supplier_id` (one supplier, many POs)
- `carbon_offset_credits.supplier_id` → `suppliers.supplier_id`
Get Early Access
To join the Notion/Confluence integration waitlist:
- Email: Contact us
- Subject: **Notion/Confluence Integration