DatriseAI-first ETL

Freshcaller to MySQL Integration

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

How Datrise loads Freshcaller into MySQL

Datrise syncs Freshcaller's calls, agents, queues, phone numbers, call metrics, and recordings into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

Freshcaller: Cloud call center for support and sales.

MySQL: Widely used OSS relational engine (InnoDB).

How Freshcaller entities map to MySQL

Freshcaller entityMySQL objectNotes
callsfreshcaller_callsid PK · custom fields → JSON columns
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 MySQL?

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

How does the Freshcaller to MySQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

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