Nectar CRM to Mode Integration

How Datrise loads Nectar CRM into Mode

Datrise syncs Nectar CRM's contacts, companies, opportunities, sales stages, activities, and quotes 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

Nectar CRM: B2B sales CRM with playbooks for Brazilian teams.

Mode: Collaborative analytics workspace for SQL, Python, and shared reports.

How Nectar CRM entities map to Mode

Nectar CRM entity	Mode object	Notes
contacts	`nectar_crm_contacts`	id PK · custom fields → flattened columns for SQL and notebooks
companies	`nectar_crm_companies`	id PK · linked to nectar_crm_contacts
opportunities	`nectar_crm_opportunities`	id PK · linked to nectar_crm_contacts
sales stages	`nectar_crm_sales_stages`	id PK · linked to nectar_crm_contacts

FAQ

How does Datrise handle Nectar CRM'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 Nectar CRM to Mode sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

Early access

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