DatriseAI-first ETL

Clay to Metabase Integration

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

How Datrise loads Clay into Metabase

Datrise syncs Clay's tables, rows, enrichment runs, waterfalls, data sources, and exported lists 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

Clay: Data enrichment tables that build outbound lists.

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

How Clay entities map to Metabase

Clay entityMetabase objectNotes
tablesclay_tablesid PK · custom fields → flattened columns for the question builder
rowsclay_rowsid PK · linked to clay_tables
enrichment runsclay_enrichment_runsid PK · linked to clay_tables
waterfallsclay_waterfallsid PK · linked to clay_tables

FAQ

How does Datrise handle Clay'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 Clay to Metabase sync stay up to date?

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

Related pipelines

Early access

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