Stream data from Zendesk Support Real-Time to Timescale
Sync your Zendesk Support Real-Time data with Timescale in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
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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.

Timescale connector details
The TimescaleDB materialization connector writes data from Estuary collections into TimescaleDB tables, making it easy to manage and query real-time, time-series workloads. Built on the PostgreSQL connector, it provides the same configuration experience with added support for Hypertables—TimescaleDB’s time-series optimized storage.
- PostgreSQL-compatible: Fully supports PostgreSQL features and syntax while extending for time-series optimization
- Hypertable support: Easily create Hypertables using custom SQL statements in the binding configuration
- Automatic table creation: Flow creates and manages tables within your TimescaleDB database automatically
- Flexible configuration: Supports both standard and delta updates for efficient data synchronization
- Ideal for time-series data: Perfect for IoT telemetry, metrics, financial data, and operational analytics
💡 Tip: Enable Hypertables by adding SELECT create_hypertable(‘table’, ‘timestamp_column’); in your binding configuration to unlock TimescaleDB’s performance benefits for time-series queries.
How to integrate Zendesk Support Real-Time with Timescale in 3 simple steps using Estuary Flow
Connect Zendesk Support Real-Time as Your Real-Time Data Source
Set up a real-time source connector for Zendesk Support Real-Time in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure Timescale as Your Target
Choose Timescale as your target system. Estuary intelligently maps schemas, supports both batch and streaming loads, and adapts to schema changes automatically.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary Flow guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
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Why Estuary Flow is the best choice for data integration
Estuary Flow combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:

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Frequently Asked Questions
- Set Up Capture: In Estuary Flow, go to Sources, click + NEW CAPTURE, and select the Zendesk Support Real-Time connector.
- Enter Details: Add your Zendesk Support Real-Time connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the Zendesk Support Real-Time capture, and publish.
What is Zendesk Support Real-Time?
How do I Transfer Data from Zendesk Support Real-Time?
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Estuary offers competitive and transparent pricing, with a free tier that includes 2 connector instances and up to 10 GB of data transfer per month. Explore our pricing options to see which plan fits your data integration needs.
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