Stream into Azure Blob Storage Parquet with your free account

Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Azure Blob Storage Parquet using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.

<100ms to batch
200+ connectors
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01. Select a source02. Transform in-flight03. Deliver to Azure Blob Storage Parquet

Azure Blob Storage Parquet connector details

The Azure Blob Parquet connector exports delta updates from Estuary collections into Apache Parquet files stored in an Azure Blob Storage container, combining cost-efficient storage with analytics-ready formatting.

Efficient delta materialization: Writes only new and updated records from collections, ensuring minimal overhead and optimal storage use.
Parquet format optimization: Stores data in the columnar Parquet format for better compression and query performance in downstream analytics tools.
Configurable upload behavior: Supports adjustable upload intervals, file size limits, and row group configurations for fine-grained control.
Seamless Azure integration: Uses your storage account name, key, and container to authenticate securely and store data reliably.
Organized file structure: Automatically versions and names files in lexically sortable order for consistent and recoverable output.
Flexible schema mapping: Converts field data types into compatible Parquet data types, preserving structure and precision.

💡 Tip: Use shorter upload intervals for time-sensitive analytics, or increase row group limits to optimize read performance in engines like Synapse or Databricks.

For more details about the Azure Blob Storage Parquet connector, check out the documentation page.

How to connect your data source to Azure Blob Storage Parquet 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 Blob Storage Parquet
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.

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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 Blob Storage Parquet, 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 Blob Storage Parquet through Estuary.
Transform and route data through Estuary collections before delivering it to Azure Blob Storage Parquet.

See what you can connect to Azure Blob Storage Parquet:

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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