LionDesk → Mode
AI-first ETL from LionDesk into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads LionDesk into Mode
Datrise syncs LionDesk's contacts, accounts, deals, activities, and lifecycle events 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
LionDesk: Real estate CRM for leads, listings, and agent follow-up.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How LionDesk entities map to Mode
| LionDesk entity | Mode object | Notes |
|---|---|---|
| contacts | liondesk_contacts | id PK · custom fields → flattened columns for SQL and notebooks |
| accounts | liondesk_accounts | id PK · linked to liondesk_contacts |
| deals | liondesk_deals | id PK · linked to liondesk_contacts |
| activities | liondesk_activities | temporal columns events |
FAQ
How does Datrise handle LionDesk'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 LionDesk to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
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