DatriseAI-first ETL

Follow Up Boss Amazon Redshift

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

How Datrise loads Follow Up Boss into Amazon Redshift

Datrise syncs Follow Up Boss's contacts, accounts, deals, activities, and lifecycle events into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.

Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.

Ideal for AWS-native warehouses already using the Redshift ecosystem.

Endpoints

Follow Up Boss: Real estate CRM for leads, listings, and agent follow-up.

Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.

How Follow Up Boss entities map to Amazon Redshift

Follow Up Boss entityAmazon Redshift objectNotes
contactsfollow_up_boss_contactsid PK · custom fields → SUPER columns
accountsfollow_up_boss_accountsid PK · linked to follow_up_boss_contacts
dealsfollow_up_boss_dealsid PK · linked to follow_up_boss_contacts
activitiesfollow_up_boss_activitiesTIMESTAMPTZ events

FAQ

How does Datrise handle Follow Up Boss's custom fields in Amazon Redshift?

Flexible values are stored as SUPER columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Redshift types.

How does the Follow Up Boss to Amazon Redshift sync stay up to date?

It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.

Related pipelines

Early access

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