Stream into Azure Fabric Warehouse with your free account
Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Azure Fabric Warehouse using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines
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.
How to connect your data source to Azure Fabric Warehouse in 3 easy steps
- 1
Connect your data source
Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.
- 2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
- 3
Sync to Azure Fabric Warehouse
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.
Trusted by data teams worldwide
All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
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HIGH THROUGHPUT
Distributed, event-driven architecture scales for demanding data workloads.
DURABLE COLLECTIONS
Store data as it moves so you can transform, replay, and deliver it downstream.
FLEXIBLE LATENCY
From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.
From <100ms to batch
Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Bring data from databases, SaaS apps, APIs, files, and event streams into Azure Fabric Warehouse, with capture and delivery cadence based on connector capabilities and pipeline configuration.
- Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to Azure Fabric Warehouse through Estuary.
- Transform and route data through Estuary collections before delivering it to Azure Fabric Warehouse.
See what you can connect to Azure Fabric Warehouse:
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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 | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Latency | <100ms to scheduled | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
One platform for real-time and batch data pipelines
Deliver real-time and batch data from DBs, SaaS, APIs, and more
