Day.ai → Snowflake
AI-first ETL from Day.ai into Snowflake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Day.ai into Snowflake
Datrise syncs Day.ai's contacts, accounts, deals, activities, and lifecycle events 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
Day.ai: AI-native CRM for relationship data, enrichment, and workflow automation.
Snowflake: Cloud data warehouse with separated compute and storage.
How Day.ai entities map to Snowflake
| Day.ai entity | Snowflake object | Notes |
|---|---|---|
| contacts | day_ai_contacts | id PK · custom fields → VARIANT columns |
| accounts | day_ai_accounts | id PK · linked to day_ai_contacts |
| deals | day_ai_deals | id PK · linked to day_ai_contacts |
| activities | day_ai_activities | TIMESTAMP_TZ events |
FAQ
How does Datrise handle Day.ai'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 Day.ai 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 Day.ai
Early access
Connect Day.ai to Snowflake 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.