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- <100ms Data pipelines
- 100+ Connectors
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Zendesk Support Real-Time connector details
The Zendesk Support Real-Time connector streams data from the Zendesk Support API into Estuary Flow collections, giving teams instant visibility into customer tickets, metrics, and support activity.
- Comprehensive coverage: Captures tickets, comments, audits, users, organizations, groups, SLA policies, macros, and more from your Zendesk instance.
- Real-time ingestion: Streams new and updated support events as they occur, keeping your analytics and dashboards continuously current.
- Flexible authentication: Works with either OAuth2 or API token credentials for secure and adaptable setup.
- Incremental syncing: Uses Zendesk’s incremental export API to efficiently update records without full reloads.
- Configurable performance: Supports adjustable page sizes via the
incremental_export_page_size
setting for optimized throughput. - Quick setup: Requires only your Zendesk subdomain, API key (or OAuth tokens), and start date to begin capturing data.
💡 Tip: For the best reliability and security in production, use OAuth2 authentication with automatic token refresh.


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 Zendesk Support 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 Zendesk Support Real-Time insights always reflect the latest data by connecting your databases to Zendesk Support Real-Time with change data capture.
- Or connect critical SaaS apps to Zendesk Support 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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