Stream data from Freshdesk to Apache Iceberg
Move data from Freshdesk to Apache Iceberg 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 Freshdesk with Apache Iceberg in 3 simple steps
Connect Freshdesk as your data source
Set up a source connector for Freshdesk 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 Iceberg 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 Iceberg.
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.

Freshdesk connector details
The Freshdesk connector captures support and ticketing data from your Freshdesk account into Estuary Flow collections, providing unified, near-real-time access to customer service metrics and activities.
- Comprehensive data coverage: Captures a wide range of Freshdesk resources including Tickets, Agents, Contacts, Companies, Conversations, and Satisfaction Ratings.
- API-based ingestion: Connects directly to the Freshdesk REST API, ensuring accurate and up-to-date replication of helpdesk data.
- Incremental updates: Supports continuous sync to capture new and updated records without reloading historical data.
- Configurable rate limits: Lets you control request frequency to stay within Freshdesk’s 50 requests per minute per account limit.
- Simple setup: Requires only your Freshdesk domain and API key for authentication.
- Flexible resource selection: Each API resource is mapped to an individual Flow collection for easy data modeling and downstream analysis.
💡 Tip: To optimize API usage, limit your requests_per_minute setting when working with large datasets or multiple concurrent captures from the same Freshdesk account.

Apache Iceberg connector details
The Apache Iceberg connector materializes Flow collections into Iceberg tables for large-scale analytics and lakehouse architectures. It orchestrates Spark jobs on AWS EMR Serverless (or another configured compute backend) to merge incoming changes, ensuring tables stay continuously up to date.
- Materializes Flow collections into Apache Iceberg tables for open table formats
- Orchestrates Spark jobs on AWS EMR Serverless to process updates
- Supports hard deletes for accurate CDC replication or soft deletes for cost savings
- Compatible with AWS Glue, S3 Tables, and Snowflake Open Catalogs via REST APIs
- Configurable sync schedules to balance performance and cost
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.

Freshdesk to Apache Iceberg pricing estimate
Estimated monthly cost to move 800 GB from Freshdesk to Apache Iceberg is approximately $1,000.
Data moved
Choose how much data you want to move from Freshdesk to Apache Iceberg each month.
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Why pay more?
Move the same data for a fraction of the cost.



Estuary in action
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What customers are saying
Why Estuary is the best choice for data integration
Estuary combines streaming and batch data movement capabilities into a unified modern data pipeline. This approach simplifies building and operating pipelines like Freshdesk to Apache Iceberg without custom code or orchestration.

Increase productivity 4x
With Estuary companies increase productivity 4x and deliver new projects in days, not months. Spend much less time on troubleshooting, and much more on building new features faster. Estuary decouples sources and destinations so you can add and change systems without impacting others, and share data across analytics, apps, and AI.
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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 Freshdesk to Apache Iceberg 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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