Stream data from Zendesk Support Real-Time to SingleStore
Sync your Zendesk Support Real-Time data with SingleStore 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.

SingleStore connector details
The SingleStore (Dekaf) connector streams Flow collections as Kafka-compatible messages that can be consumed directly by SingleStore pipelines. It enables real-time data ingestion from Estuary into SingleStore’s distributed SQL engine for hybrid transactional and analytical workloads.
- Real-time delivery: Streams collection updates to SingleStore pipelines over Kafka in Avro format.
- High-performance integration: Leverages SingleStore’s native ingestion pipeline for low-latency, scalable data flow.
- Simple authentication: Uses a configurable auth token as both the Kafka and Schema Registry credential.
- Flexible configuration: Each Flow collection is published as a separate Kafka topic for easy mapping.
- Deletion handling: Supports both standard Kafka-style deletes and CDC deletion modes for downstream processing.
- Quick setup: Define a pipeline in SingleStore with the
LOAD DATA KAFKA
command and start ingesting immediately.
💡 Tip: Use ReplacingMergeTree or similar table engines in SingleStore when handling CDC deletions to maintain accurate, up-to-date data states across real-time pipelines.
How to integrate Zendesk Support Real-Time with SingleStore 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 SingleStore as Your Target
Choose SingleStore 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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