HubSpot CRM → Amazon S3 Data Lake
AI-first ETL from HubSpot CRM into Amazon S3 Data Lake. Governed entities, incremental sync, typed landing tables.
How Datrise loads HubSpot CRM into Amazon S3 Data Lake
Datrise syncs HubSpot CRM's contacts, companies, deals, lifecycle stages, and engagement events 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
HubSpot CRM: Inbound CRM with marketing, sales, and service hubs.
Amazon S3 Data Lake: Object storage landing zone for parquet and snapshots.
How HubSpot CRM entities map to Amazon S3 Data Lake
| HubSpot CRM entity | Amazon S3 Data Lake object | Notes |
|---|---|---|
| contacts | hubspot_contacts | id PK · custom fields → nested struct/map fields in Parquet |
| companies | hubspot_companies | id PK · linked to hubspot_contacts |
| deals | hubspot_deals | id PK · linked to hubspot_contacts |
| lifecycle stages | hubspot_lifecycle_stages | id PK · linked to hubspot_contacts |
FAQ
How does Datrise handle HubSpot CRM'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 HubSpot CRM 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.
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Early access
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