DatriseAI-first ETL

Lemlist to Redash Integration

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

How Datrise loads Lemlist into Redash

Datrise syncs Lemlist's campaigns, leads, sequences, email events, replies, and activities into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

Lemlist: Cold email outreach and sequence automation.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Lemlist entities map to Redash

Lemlist entityRedash objectNotes
campaignslemlist_campaignsid PK · custom fields → flattened columns for query results
leadslemlist_leadsid PK · linked to lemlist_campaigns
sequenceslemlist_sequencesid PK · linked to lemlist_campaigns
email eventslemlist_email_eventstemporal columns events

FAQ

How does Datrise handle Lemlist's custom fields in Redash?

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

How does the Lemlist to Redash sync stay up to date?

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

Related pipelines

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