Stream data from Ashby to Azure Fabric Warehouse
Move data from Ashby to Azure Fabric Warehouse 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 Ashby with Azure Fabric Warehouse in 3 simple steps
Connect Ashby as your data source
Set up a source connector for Ashby 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 Azure Fabric Warehouse 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 Azure Fabric Warehouse.
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.

Ashby connector details
The Ashby source connector brings recruiting and hiring data from Ashby into Estuary collections using incremental synchronization. All supported resources leverage Ashby’s sync token mechanism, ensuring efficient change tracking without repeated full refreshes. It supports a wide range of hiring workflow entities, including candidates, applications, interviews, jobs, offers, and organizational metadata, enabling complete pipeline visibility for talent analytics.
- Incremental sync for all resources using Ashby sync tokens
- Captures candidates, applications, interviews, jobs, offers, and metadata
- API key authentication with scoped access control
- Automatic omission of resources without required scopes
- Configurable sync intervals per resource for controlled ingestion cadence

Azure Fabric Warehouse connector details
The Microsoft Azure Fabric Warehouse materialization connector writes Estuary collections into tables in a Fabric Warehouse for real-time analytics and reporting. Estuary stages data through Azure Storage, then materializes selected collections into warehouse tables using standard merge updates or delta updates, depending on the workload.
- Materialize Estuary collections into tables in a Microsoft Azure Fabric Warehouse.
- Connect using your Fabric Warehouse SQL connection string, warehouse name, and target schema.
- Authenticate with a Microsoft Entra service principal using a client ID and client secret.
- Use an Azure Storage account and container as a temporary staging area for files loaded into the warehouse.
- Support standard merge updates by default, with optional delta updates for lower-latency, lower-cost workloads when events have unique keys.
- Configure each binding to write a selected Estuary collection into a specific Fabric Warehouse table, with optional schema overrides.
Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
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.

Ashby to Azure Fabric Warehouse pricing estimate
Estimated monthly cost to move 800 GB from Ashby to Azure Fabric Warehouse is approximately $1,000.
Data moved
Choose how much data you want to move from Ashby to Azure Fabric Warehouse each month.
GB
Choose number of sources and destinations.
Why pay more?
Move the same data for a fraction of the cost.



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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 Ashby to Azure Fabric Warehouse 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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