DatriseAI-first ETL

Tyntec SMS to Google BigQuery Integration

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

How Datrise loads Tyntec SMS into Google BigQuery

Datrise syncs Tyntec SMS's SMS messages, recipients, delivery reports, senders, countries, and message costs into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.

Ideal for Google-stack analytics and ML on serverless infrastructure.

Endpoints

Tyntec SMS: Global SMS delivery and message status callbacks.

Google BigQuery: Serverless analytics warehouse on GCP.

How Tyntec SMS entities map to Google BigQuery

Tyntec SMS entityGoogle BigQuery objectNotes
SMS messagestyntec_sms_sms_messagesid PK · custom fields → JSON or nested/repeated (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 Google BigQuery?

Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.

How does the Tyntec SMS to Google BigQuery sync stay up to date?

It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.

Related pipelines

Early access

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