DatriseAI-first ETL

Tyntec SMS to Birst Integration

AI-first ETL from Tyntec SMS into Birst. Governed entities, incremental sync, typed landing tables.

How Datrise loads Tyntec SMS into Birst

Datrise syncs Tyntec SMS's SMS messages, recipients, delivery reports, senders, countries, and message costs into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

Tyntec SMS: Global SMS delivery and message status callbacks.

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How Tyntec SMS entities map to Birst

Tyntec SMS entityBirst objectNotes
SMS messagestyntec_sms_sms_messagesid PK · custom fields → flattened columns
recipientstyntec_sms_recipientsid PK · linked to tyntec_sms_sms_messages
delivery reportstyntec_sms_delivery_reportsid PK · linked to tyntec_sms_sms_messages
senderstyntec_sms_sendersid PK · linked to tyntec_sms_sms_messages

FAQ

How does Datrise handle Tyntec SMS's custom fields in Birst?

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

How does the Tyntec SMS to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

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