Referral Saasquatch to Google BigQuery Integration
AI-first ETL from Referral Saasquatch into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads Referral Saasquatch into Google BigQuery
Datrise syncs Referral Saasquatch's users, referrals, rewards, programs, redemptions, and account balances 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
Referral Saasquatch: Referral and loyalty program tracking.
Google BigQuery: Serverless analytics warehouse on GCP.
How Referral Saasquatch entities map to Google BigQuery
| Referral Saasquatch entity | Google BigQuery object | Notes |
|---|---|---|
| users | referral_saasquatch_users | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| referrals | referral_saasquatch_referrals | id PK · linked to referral_saasquatch_users |
| rewards | referral_saasquatch_rewards | id PK · linked to referral_saasquatch_users |
| programs | referral_saasquatch_programs | id PK · linked to referral_saasquatch_users |
FAQ
How does Datrise handle Referral Saasquatch'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 Referral Saasquatch 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 Referral Saasquatch
- Referral Saasquatch → Amazon Redshift
- Referral Saasquatch → Databricks SQL Warehouse
- Referral Saasquatch → ClickHouse
- Referral Saasquatch → DuckDB
- Referral Saasquatch → Amazon Athena
- Referral Saasquatch → Amazon S3 Data Lake
- Referral Saasquatch → Azure Data Lake Storage
- Referral Saasquatch → Azure Synapse
- Referral Saasquatch → Spreadsheets
- Referral Saasquatch → Airtable
- Referral Saasquatch → CSV Files
- Referral Saasquatch → MongoDB
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Early access
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