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- <100ms Data pipelines
- 100+ Connectors
- 2-5x less than batch ELT



Hubspot Real-time connector details
The HubSpot Real-Time connector continuously streams data from your HubSpot account into Estuary Flow collections, ensuring your CRM data is always up to date across systems.
- Supported resources: Companies, Contacts, Deals, Tickets, Products, Custom Objects, Form Submissions, Marketing Emails, and more
- Authentication: Uses secure OAuth2 flow with your HubSpot account credentials
- Real-time ingestion: Captures HubSpot changes as they happen for low-latency synchronization
- Auto-discovery: Automatically detects available HubSpot objects and maps them to Flow collections
- Flexible integration: Combine with downstream materializations (e.g., Snowflake, BigQuery) for instant analytics and automation
- Secure deployment: Fully supported within Estuary’s Private and BYOC environments for enterprise-grade security
💡 Tip: Use this connector to power real-time sales dashboards or sync HubSpot contacts with analytics and marketing platforms instantly.


HIGH THROUGHPUT
Distributed event-driven architecture enable boundless scaling with exactly-once semantics.

DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

REAL-TIME INGESTION
Capture and relay every insert, update, and delete in milliseconds.
Real-timehigh throughput
Point a connector and replicate changes from Hubspot Real-time in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 100s of batch and real-time connectors to move and transform data using ELT and ETL.
- Ensure your Hubspot Real-time insights always reflect the latest data by connecting your databases to Hubspot Real-time with change data capture.
- Or connect critical SaaS apps to Hubspot Real-time with real-time data pipelines.
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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
Estuary | Batch ELT/ETL | DIY Python | KAFKA | |
---|---|---|---|---|
Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
Speed | <100ms | 5min+ | Varies | <100ms |
Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
Scale |

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