DatriseAI-first ETL

Tyntec SMS to Tableau Integration

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

How Datrise loads Tyntec SMS into Tableau

Datrise syncs Tyntec SMS's SMS messages, recipients, delivery reports, senders, countries, and message costs into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.

Ideal for visual analytics and dashboards in Tableau.

Endpoints

Tyntec SMS: Global SMS delivery and message status callbacks.

Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.

How Tyntec SMS entities map to Tableau

Tyntec SMS entityTableau objectNotes
SMS messagestyntec_sms_sms_messagesid PK · custom fields → flattened columns for Tableau fields
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 Tableau?

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

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

It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.

Related pipelines

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