Delighted → Snowflake
AI-first ETL from Delighted into Snowflake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Delighted into Snowflake
Datrise syncs Delighted's surveys, responses, scores, and follow-up workflows into Snowflake as a typed table per source entity. Flexible or custom fields land in VARIANT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP_TZ.
Sync is incremental: Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size, so re-runs update only what changed. Automatic micro-partitioning, with optional clustering keys on high-cardinality ids. Snowflake upper-cases unquoted identifiers, so Datrise standardizes on lower-case quoted names to keep column references stable.
Ideal for central analytics warehouses feeding BI and AI workloads.
Endpoints
Delighted: NPS and micro-survey feedback platform.
Snowflake: Cloud data warehouse with separated compute and storage.
How Delighted entities map to Snowflake
| Delighted entity | Snowflake object | Notes |
|---|---|---|
| surveys | delighted_surveys | id PK · custom fields → VARIANT columns |
| responses | delighted_responses | id PK · linked to delighted_surveys |
| scores | delighted_scores | id PK · linked to delighted_surveys |
| follow-up workflows | delighted_follow_up_workflows | id PK · linked to delighted_surveys |
FAQ
How does Datrise handle Delighted's custom fields in Snowflake?
Flexible values are stored as VARIANT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Snowflake types.
How does the Delighted to Snowflake sync stay up to date?
It runs incrementally — Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size.
Related pipelines
More destinations for Delighted
- Delighted → Google BigQuery
- Delighted → Amazon Redshift
- Delighted → Databricks SQL Warehouse
- Delighted → ClickHouse
- Delighted → DuckDB
- Delighted → Amazon Athena
- Delighted → Amazon S3 Data Lake
- Delighted → Azure Data Lake Storage
- Delighted → Azure Synapse
- Delighted → Spreadsheets
- Delighted → Airtable
- Delighted → CSV Files
Early access
Connect Delighted to Snowflake the easy way
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