DatriseAI-first ETL

Follow Up Boss Amazon DynamoDB

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

How Datrise loads Follow Up Boss into Amazon DynamoDB

Datrise syncs Follow Up Boss's contacts, accounts, deals, activities, and lifecycle events into Amazon DynamoDB as an item per source record in a table per entity. Flexible or custom fields land in nested map/list attributes, and timestamps such as created, updated, and status changes are typed as ISO-8601 string or epoch number attributes.

Sync is incremental: Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id, so re-runs update only what changed. Partition-key design on the entity id to spread throughput evenly. DynamoDB rewards access-pattern-first key design, so Datrise sets partition/sort keys from your entity ids rather than scan-heavy defaults.

Ideal for serverless apps needing single-digit-millisecond key lookups on CRM data.

Endpoints

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

Amazon DynamoDB: Serverless key-value and document store on AWS.

How Follow Up Boss entities map to Amazon DynamoDB

Follow Up Boss entityAmazon DynamoDB objectNotes
contactsfollow_up_boss_contactsid PK · custom fields → nested map/list attributes
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_activitiesISO-8601 string or epoch number attributes events

FAQ

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

Flexible values are stored as nested map/list attributes, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon DynamoDB types.

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

It runs incrementally — Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id.

Related pipelines

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