DatriseAI-first ETL

Freshsales PostgreSQL

AI-first ETL from Freshsales into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads Freshsales into PostgreSQL

Datrise syncs Freshsales's leads, contacts, deals, calls, and email activity telemetry into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Freshsales: CRM by Freshworks with built-in phone and email.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Freshsales entities map to PostgreSQL

Freshsales entityPostgreSQL objectNotes
leadsfreshsales_leadsid PK · custom fields → jsonb columns
contactsfreshsales_contactsid PK · linked to freshsales_leads
dealsfreshsales_dealsid PK · linked to freshsales_leads
callsfreshsales_callsid PK · linked to freshsales_leads

FAQ

How does Datrise handle Freshsales's custom fields in PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the Freshsales to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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