DatriseAI-first ETL

Follow Up Boss to Snowflake Integration

AI-first ETL from Follow Up Boss into Snowflake. Governed entities, incremental sync, typed landing tables.

How Datrise loads Follow Up Boss into Snowflake

Datrise syncs Follow Up Boss's leads, people, deals, action plans, calls, and agent assignments 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

Follow Up Boss: Real estate lead routing and agent follow-up cadences.

Snowflake: Cloud data warehouse with separated compute and storage.

How Follow Up Boss entities map to Snowflake

Follow Up Boss entitySnowflake objectNotes
leadsfollow_up_boss_leadsid PK · custom fields → VARIANT columns
peoplefollow_up_boss_peopleid PK · linked to follow_up_boss_leads
dealsfollow_up_boss_dealsid PK · linked to follow_up_boss_leads
action plansfollow_up_boss_action_plansid PK · linked to follow_up_boss_leads

FAQ

How does Datrise handle Follow Up Boss'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 Follow Up Boss 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

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