DatriseAI-first ETL

Freshcaller to Metabase Integration

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

How Datrise loads Freshcaller into Metabase

Datrise syncs Freshcaller's calls, agents, queues, phone numbers, call metrics, and recordings 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

Freshcaller: Cloud call center for support and sales.

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

How Freshcaller entities map to Metabase

Freshcaller entityMetabase objectNotes
callsfreshcaller_callsid PK · custom fields → flattened columns for the question builder
agentsfreshcaller_agentsid PK · linked to freshcaller_calls
queuesfreshcaller_queuesid PK · linked to freshcaller_calls
phone numbersfreshcaller_phone_numbersid PK · linked to freshcaller_calls

FAQ

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

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

Related pipelines

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