DatriseAI-first ETL

Lemlist to PostgreSQL Integration

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

How Datrise loads Lemlist into PostgreSQL

Datrise syncs Lemlist's campaigns, leads, sequences, email events, replies, and activities 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

Lemlist: Cold email outreach and sequence automation.

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

How Lemlist entities map to PostgreSQL

Lemlist entityPostgreSQL objectNotes
campaignslemlist_campaignsid PK · custom fields → jsonb columns
leadslemlist_leadsid PK · linked to lemlist_campaigns
sequenceslemlist_sequencesid PK · linked to lemlist_campaigns
email eventslemlist_email_eventstimestamptz events

FAQ

How does Datrise handle Lemlist'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 Lemlist 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

Early access

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