Estuary
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REAL-TIME ETL & CDC

Stream into Azure Fabric Warehouse with your free account

Continously ingest and deliver both streaming and batch change data from 150+ of sources using Estuary's custom no-code connectors.

  • <100ms Data pipelines
  • 200+ Connectors
  • 2-5x less than batch ELT
01. Select a source02. Transform in-flight03. Deliver to Azure Fabric Warehouse
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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.

For more details about the Azure Fabric Warehouse connector, check out the documentation page.

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.

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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 enable boundless scaling with exactly-once semantics.

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DURABLE REPLICATION

Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

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REAL-TIME INGESTION

Capture and relay every insert, update, and delete in milliseconds.

Real-timehigh throughput

Point a connector and replicate changes to Azure Fabric Warehouse in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 200+ of batch and real-time connectors to move and transform data using ELT and ETL.

  • Ensure your Azure Fabric Warehouse insights always reflect the latest data by connecting your databases to Azure Fabric Warehouse with change data capture.
  • Or connect critical SaaS apps to Azure Fabric Warehouse with real-time data pipelines.

See how you can integrate any source with Azure Fabric Warehouse:

Details

or choose from these popular data sources:

PostgreSQL logo
PostgreSQL
MySQL logo
MySQL
SQL Server logo
SQL Server
MongoDB logo
MongoDB
Apache Kafka logo
Apache Kafka
BigQuery logo
BigQuery
Snowflake Data Cloud logo
Snowflake Data Cloud

Don't see a connector?Request and our team will get back to you in 24 hours

Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.

Feature Comparison

EstuaryBatch ELT/ETLDIY PythonKafka
Price$$$-$$$$$-$$$$$-$$$$
Speed<100ms5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
Scale
Maintenance EffortLowMediumHighHigh
Detailed Comparison

Deliver real-time and batch data from DBs, SaaS, APIs, and more

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Popular sources/destinations you can sync your data with

Choose from more than 100 supported databases and SaaS applications. Click any source/destination below to open the integration guide and learn how to sync your data in real time or batches.