HubSpot Service Hub to Azure Data Lake Storage Integration
AI-first ETL from HubSpot Service Hub into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.
How Datrise loads HubSpot Service Hub into Azure Data Lake Storage
Datrise syncs HubSpot Service Hub's tickets, contacts, companies, conversations, knowledge base articles, and feedback submissions into Azure Data Lake Storage as partitioned Parquet in ADLS Gen2 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 to the container and compacts on a schedule, so re-runs update only what changed. Hive-style partitioning by load date, readable by Synapse and Databricks. ADLS hierarchical namespace makes folder layout matter, so Datrise keeps a predictable entity/date path your Azure engines mount directly.
Ideal for Azure lakehouse storage shared across Synapse and Databricks.
Endpoints
HubSpot Service Hub: Ticketing and knowledge base on the HubSpot CRM record.
Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.
How HubSpot Service Hub entities map to Azure Data Lake Storage
| HubSpot Service Hub entity | Azure Data Lake Storage object | Notes |
|---|---|---|
| tickets | hubspot_service_tickets | id PK · custom fields → nested struct/map fields in Parquet |
| contacts | hubspot_service_contacts | id PK · linked to hubspot_service_tickets |
| companies | hubspot_service_companies | id PK · linked to hubspot_service_tickets |
| conversations | hubspot_service_conversations | id PK · linked to hubspot_service_tickets |
FAQ
How does Datrise handle HubSpot Service Hub's custom fields in Azure Data Lake Storage?
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 Azure Data Lake Storage types.
How does the HubSpot Service Hub to Azure Data Lake Storage sync stay up to date?
It runs incrementally — Datrise uses writes new date partitions to the container and compacts on a schedule.
Related pipelines
More destinations for HubSpot Service Hub
- HubSpot Service Hub → Azure Synapse
- HubSpot Service Hub → Spreadsheets
- HubSpot Service Hub → Airtable
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- HubSpot Service Hub → Amazon DynamoDB
- HubSpot Service Hub → Looker
- HubSpot Service Hub → Looker Studio
- HubSpot Service Hub → Microsoft Power BI
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Early access
Connect HubSpot Service Hub to Azure Data Lake Storage the easy way
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