DatriseAI-first ETL

Tyntec SMS to Databricks SQL Warehouse Integration

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

How Datrise loads Tyntec SMS into Databricks SQL Warehouse

Datrise syncs Tyntec SMS's SMS messages, recipients, delivery reports, senders, countries, and message costs into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.

Ideal for lakehouse analytics and ML feature tables on Databricks.

Endpoints

Tyntec SMS: Global SMS delivery and message status callbacks.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How Tyntec SMS entities map to Databricks SQL Warehouse

Tyntec SMS entityDatabricks SQL Warehouse objectNotes
SMS messagestyntec_sms_sms_messagesid PK · custom fields → VARIANT or STRUCT 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 Databricks SQL Warehouse?

Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.

How does the Tyntec SMS to Databricks SQL Warehouse sync stay up to date?

It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.

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