Short.io to Mode Integration
AI-first ETL from Short.io into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads Short.io into Mode
Datrise syncs Short.io's links, domains, clicks, referrers, countries, and link tags into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
Short.io: Branded short links and click analytics.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How Short.io entities map to Mode
| Short.io entity | Mode object | Notes |
|---|---|---|
| links | short_io_links | id PK · custom fields → flattened columns for SQL and notebooks |
| domains | short_io_domains | id PK · linked to short_io_links |
| clicks | short_io_clicks | id PK · linked to short_io_links |
| referrers | short_io_referrers | id PK · linked to short_io_links |
FAQ
How does Datrise handle Short.io's custom fields in Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the Short.io to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for Short.io
Early access
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