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- <100ms Data pipelines
- 100+ Connectors
- 2-5x less than batch ELT
Zendesk Chat connector details
The Zendesk Chat connector captures data from the Zendesk Chat API into Estuary Flow collections, giving teams real-time visibility into live chat activity, agent performance, and customer engagement.
- Extensive coverage: Captures chats, agents, departments, triggers, shortcuts, goals, skills, and other Zendesk Chat resources.
- Real-time ingestion: Streams chat and agent data as it becomes available for near-live monitoring and analytics.
- Efficient structure: Each Zendesk resource is mapped to a separate Flow collection, making it easy to organize and query data.
- Simple configuration: Requires only your Zendesk subdomain, access token, and a start date to begin capturing data.
- Secure access: Supports restricted, read-only access tokens for controlled data visibility.
- Optimized performance: Built on an enhanced version of the open-source connector for improved reliability and speed.
💡 Tip: Use a dedicated read-only API token for Estuary to ensure secure and isolated access to your Zendesk Chat data.
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 Chat 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 Chat insights always reflect the latest data by connecting your databases to Zendesk Chat with change data capture.
- Or connect critical SaaS apps to Zendesk Chat 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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