Referral Saasquatch to Amazon S3 Data Lake Integration
AI-first ETL from Referral Saasquatch into Amazon S3 Data Lake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Referral Saasquatch into Amazon S3 Data Lake
Datrise syncs Referral Saasquatch's users, referrals, rewards, programs, redemptions, and account balances into Amazon S3 Data Lake as columnar Parquet objects partitioned per source entity. Flexible or custom fields land in nested struct/map fields in Parquet, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.
Sync is incremental: Datrise uses writes new date partitions and compacts small files on a schedule, so re-runs update only what changed. Hive-style path partitioning (entity/date) for engine-agnostic reads. A lake has no schema enforcement, so Datrise writes a schema manifest alongside the data to keep downstream engines consistent.
Ideal for an open, engine-neutral storage layer for Spark, Athena, Trino, or DuckDB.
Endpoints
Referral Saasquatch: Referral and loyalty program tracking.
Amazon S3 Data Lake: Object storage landing zone for parquet and snapshots.
How Referral Saasquatch entities map to Amazon S3 Data Lake
| Referral Saasquatch entity | Amazon S3 Data Lake object | Notes |
|---|---|---|
| users | referral_saasquatch_users | id PK · custom fields → nested struct/map fields in Parquet |
| 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 Amazon S3 Data Lake?
Flexible values are stored as nested struct/map fields in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon S3 Data Lake types.
How does the Referral Saasquatch to Amazon S3 Data Lake sync stay up to date?
It runs incrementally — Datrise uses writes new date partitions and compacts small files on a schedule.
Related pipelines
More destinations for Referral Saasquatch
- Referral Saasquatch → Azure Data Lake Storage
- Referral Saasquatch → Azure Synapse
- Referral Saasquatch → Spreadsheets
- Referral Saasquatch → Airtable
- Referral Saasquatch → CSV Files
- Referral Saasquatch → MongoDB
- Referral Saasquatch → Supabase
- Referral Saasquatch → Neon
- Referral Saasquatch → PlanetScale
- Referral Saasquatch → Amazon DynamoDB
- Referral Saasquatch → Looker
- Referral Saasquatch → Looker Studio
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Early access
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