Mailjet SMS to Google BigQuery Integration
AI-first ETL from Mailjet SMS into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads Mailjet SMS into Google BigQuery
Datrise syncs Mailjet SMS's SMS messages, recipients, delivery statuses, senders, campaigns, and 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
Mailjet SMS: SMS delivery and message status tracking.
Google BigQuery: Serverless analytics warehouse on GCP.
How Mailjet SMS entities map to Google BigQuery
| Mailjet SMS entity | Google BigQuery object | Notes |
|---|---|---|
| SMS messages | mailjet_sms_sms_messages | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| recipients | mailjet_sms_recipients | id PK · linked to mailjet_sms_sms_messages |
| delivery statuses | mailjet_sms_delivery_statuses | TIMESTAMP events |
| senders | mailjet_sms_senders | id PK · linked to mailjet_sms_sms_messages |
FAQ
How does Datrise handle Mailjet 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 Mailjet 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
More destinations for Mailjet SMS
- Mailjet SMS → Amazon Redshift
- Mailjet SMS → Databricks SQL Warehouse
- Mailjet SMS → ClickHouse
- Mailjet SMS → DuckDB
- Mailjet SMS → Amazon Athena
- Mailjet SMS → Amazon S3 Data Lake
- Mailjet SMS → Azure Data Lake Storage
- Mailjet SMS → Azure Synapse
- Mailjet SMS → Spreadsheets
- Mailjet SMS → Airtable
- Mailjet SMS → CSV Files
- Mailjet SMS → MongoDB
More sources for Google BigQuery
- Mailshake → Google BigQuery
- Mambu → Google BigQuery
- Marketo → Google BigQuery
- Marketo Bulk → Google BigQuery
- Merge → Google BigQuery
- Metabase → Google BigQuery
- Microsoft Azure → Google BigQuery
- Microsoft Dataverse → Google BigQuery
- Microsoft SharePoint → Google BigQuery
- Microsoft Teams → Google BigQuery
- Microsoft SQL Server → Google BigQuery
- My Hours → Google BigQuery
Early access
Connect Mailjet SMS to Google BigQuery the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.