Stream data from Hubspot Real-time to Apache Kafka
Move data from Hubspot Real-time to Apache Kafka in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
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- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate Hubspot Real-time with Apache Kafka in 3 simple steps
Connect Hubspot Real-time as your data source
Set up a source connector for Hubspot Real-time in minutes. Estuary supports streaming (including CDC where available) and batch data capture through events, incremental syncs, or snapshots — without custom pipelines, agents, or manual configuration.
Configure Apache Kafka as your destination connector
Estuary supports intelligent schema handling, with schema inference and evolution tools that help align source and destination structures over time. It supports both batch and streaming data movement, reliably delivering data to Apache Kafka.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
Hubspot Real-time connector details
The HubSpot Real-Time connector continuously streams data from your HubSpot account into Estuary 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 Estuary 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.
See how Curri uses Hubspot Real-time
Apache Kafka connector details
The Apache Kafka materialization connector publishes data from Estuary collections to Kafka topics, enabling downstream systems to consume real-time streams of structured, reliable data.
- Continuous streaming: Streams collection updates to Kafka topics in real-time for event-driven architectures and analytics pipelines.
- Flexible message encoding: Supports both Avro (with schema registry) and JSON formats, giving teams flexibility in serialization strategy.
- Secure authentication: Compatible with SASL/PLAIN, SCRAM-SHA-256, and SCRAM-SHA-512 authentication methods, along with TLS encryption.
- Scalable configuration: Allows you to define topic partitions and replication factors for performance and redundancy.
- Schema registry support: Seamlessly integrates with Confluent Cloud or self-hosted schema registries for Avro schema management.
- At-least-once delivery: Ensures reliable message delivery with future support planned for exactly-once semantics.
💡 Tip: When connecting to Confluent Cloud, use the PLAIN SASL mechanism and provide your schema registry key and secret for authentication.
Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Estuary's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.
Hubspot Real-time to Apache Kafka pricing estimate
Estimated monthly cost to move 800 GB from Hubspot Real-time to Apache Kafka is approximately $1,000.
Data moved
Choose how much data you want to move from Hubspot Real-time to Apache Kafka each month.
GB
Choose number of sources and destinations.
Why pay more?
Move the same data for a fraction of the cost.
What customers are saying
We're a big fan of Estuary's real-time, no code model. It's magic that we're getting real time data without much effort and we don't have to spend time thinking about broken pipelines. We've also experienced fantastic support by Estuary.
Estuary became our real-time data backbone without the cost or complexity of traditional solutions. We replaced a fragile, high-maintenance pipeline with a managed system that just works and scales.
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Frequently Asked Questions
Is this integration suitable for production workloads?
Yes. Estuary pipelines are designed for production use, with exactly-once delivery semantics, automated backfills, and continuous operation at scale.
Can I control where my data runs and is processed?
Yes. Estuary offers multiple deployment options, including fully managed SaaS, private deployments, and bring-your-own-cloud (BYOC). This allows teams to control where their data plane runs and meet security, compliance, and networking requirements. Learn more about Estuary's security and deployment options.
Can I build this Hubspot Real-time to Apache Kafka integration manually?
Yes, it's possible to build a manual pipeline using custom scripts, scheduled jobs, or open-source tools. However, manual approaches typically require ongoing maintenance, custom error handling, schema management, and operational overhead. Estuary simplifies this by providing a managed pipeline with built-in reliability, scaling, and monitoring.
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