Referral Saasquatch to Microsoft SQL Server Integration
AI-first ETL from Referral Saasquatch into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Referral Saasquatch into Microsoft SQL Server
Datrise syncs Referral Saasquatch's users, referrals, rewards, programs, redemptions, and account balances into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.
Ideal for Microsoft-stack analytics and Power BI Import models.
Endpoints
Referral Saasquatch: Referral and loyalty program tracking.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Referral Saasquatch entities map to Microsoft SQL Server
| Referral Saasquatch entity | Microsoft SQL Server object | Notes |
|---|---|---|
| users | referral_saasquatch_users | id PK · custom fields → NVARCHAR(MAX) JSON 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 Microsoft SQL Server?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.
How does the Referral Saasquatch to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
Related pipelines
More destinations for Referral Saasquatch
- Referral Saasquatch → Oracle Database
- Referral Saasquatch → Snowflake
- Referral Saasquatch → Google BigQuery
- 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
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- Salesforce Marketing Cloud → Microsoft SQL Server
- SAP Fieldglass → Microsoft SQL Server
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- Selligent → Microsoft SQL Server
Early access
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