DatriseAI-first ETL

Salesloft Metabase

AI-first ETL from Salesloft into Metabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Salesloft into Metabase

Datrise syncs Salesloft's cadence activity, conversation signals, and revenue workflow execution into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

Salesloft: Revenue workflow platform for cadences, conversations, and coaching signals.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Salesloft entities map to Metabase

Salesloft entityMetabase objectNotes
cadence activitysalesloft_cadence_activitytemporal columns for trends events
conversation signalssalesloft_conversation_signalsid PK · linked to salesloft_cadence_activity
revenue workflow executionsalesloft_revenue_workflow_executionid PK · linked to salesloft_cadence_activity

FAQ

How does Datrise handle Salesloft's custom fields in Metabase?

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

How does the Salesloft to Metabase sync stay up to date?

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

Related pipelines

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