Follow Up Boss to Amazon S3 Data Lake Integration
AI-first ETL from Follow Up Boss into Amazon S3 Data Lake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Follow Up Boss into Amazon S3 Data Lake
Datrise syncs Follow Up Boss's leads, people, deals, action plans, calls, and agent assignments into Amazon S3 Data Lake as columnar Parquet objects partitioned per source entity. Flexible or custom fields land in nested struct/map fields in Parquet, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.
Sync is incremental: Datrise uses writes new date partitions and compacts small files on a schedule, so re-runs update only what changed. Hive-style path partitioning (entity/date) for engine-agnostic reads. A lake has no schema enforcement, so Datrise writes a schema manifest alongside the data to keep downstream engines consistent.
Ideal for an open, engine-neutral storage layer for Spark, Athena, Trino, or DuckDB.
Endpoints
Follow Up Boss: Real estate lead routing and agent follow-up cadences.
Amazon S3 Data Lake: Object storage landing zone for parquet and snapshots.
How Follow Up Boss entities map to Amazon S3 Data Lake
| Follow Up Boss entity | Amazon S3 Data Lake object | Notes |
|---|---|---|
| leads | follow_up_boss_leads | id PK · custom fields → nested struct/map fields in Parquet |
| people | follow_up_boss_people | id PK · linked to follow_up_boss_leads |
| deals | follow_up_boss_deals | id PK · linked to follow_up_boss_leads |
| action plans | follow_up_boss_action_plans | id PK · linked to follow_up_boss_leads |
FAQ
How does Datrise handle Follow Up Boss's custom fields in Amazon S3 Data Lake?
Flexible values are stored as nested struct/map fields in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon S3 Data Lake types.
How does the Follow Up Boss to Amazon S3 Data Lake sync stay up to date?
It runs incrementally — Datrise uses writes new date partitions and compacts small files on a schedule.
Related pipelines
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Early access
Connect Follow Up Boss to Amazon S3 Data Lake the easy way
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