
Stream into HubSpot with your free account
Deliver data from databases, SaaS apps, APIs, files, and streaming systems into HubSpot using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines



HubSpot connector details
The HubSpot materialization connector in Estuary delivers data from Estuary collections into HubSpot CRM objects such as Contacts, Companies, Deals, Tickets, and Products. Incoming records are matched to existing HubSpot records using a configurable match property based on the Estuary collection key.
- Materializes Estuary collections into HubSpot CRM objects
- Supports Contacts, Companies, Deals, Tickets, Products, Calls, Emails, Meetings, Tasks, Quotes, Line Items, and Postal Mail
- Delta updates only for writing changes into HubSpot
- Configurable match property for matching incoming documents with existing HubSpot records
- Unique match properties recommended to minimize the risk of duplicate HubSpot records
- Automatic field-to-property name mapping from Estuary collection fields to HubSpot properties
- OAuth 2.0 authentication recommended for production materializations
- HubSpot private app access token authentication also supported
- Configurable HubSpot API request limits for standard and search API calls
HubSpot assigns its own record IDs, so Estuary cannot directly set them. Instead, the connector compares the Estuary collection key with the configured HubSpot match property to determine whether a record already exists. Using a HubSpot property configured to require unique values is strongly recommended.
How to connect your data source to HubSpot in 3 easy steps
- 1
Connect your data source
Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.
- 2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
- 3
Sync to HubSpot
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.
Learn more
Dive deeper into HubSpot with this quick video from our YouTube channel.
Trusted by data teams worldwide
All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
Read success storyTogether AI
How Together AI Uses Near-Real-Time Data to Understand Inference Economics
Read success storyEnvoy
Right-Time Visibility for a High-Velocity Business: Envoy’s Estuary Story
Read success storyColtene
From SAP on SQL Server to Snowflake: How Coltene Built Reliable Replication with Estuary
Read success storyGlossier
Glossier Runs Real-Time Supply Chain and Marketing Analytics with Estuary

HIGH THROUGHPUT
Distributed, event-driven architecture scales for demanding data workloads.
DURABLE COLLECTIONS
Store data as it moves so you can transform, replay, and deliver it downstream.
FLEXIBLE LATENCY
From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.
From <100ms to batch
Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Bring data from databases, SaaS apps, APIs, files, and event streams into HubSpot, with capture and delivery cadence based on connector capabilities and pipeline configuration.
- Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to HubSpot through Estuary.
- Transform and route data through Estuary collections before delivering it to HubSpot.
See what you can connect to HubSpot:
Don't see a connector?Request and our team will get back to you in 24 hours
Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | Kafka | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Latency | <100ms to scheduled | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
One platform for real-time and batch data pipelines

Deliver real-time and batch data from DBs, SaaS, APIs, and more

















