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REAL-TIME ETL & CDC

Stream into Azure Blob Storage Parquet with your free account

Continously ingest and deliver both streaming and batch change data from 100s of sources using Estuary's custom no-code connectors.

  • <100ms Data pipelines
  • 100+ Connectors
  • 2-5x less than batch ELT
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01. Select a source02. Transform in-flight03. Deliver to Azure Blob Storage Parquet
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Azure Blob Storage Parquet connector details

The Azure Blob Parquet connector exports delta updates from Estuary Flow 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 Flow 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 Flow field 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.

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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 Blob Storage Parquet in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 100s of batch and real-time connectors to move and transform data using ELT and ETL.

  • Ensure your Azure Blob Storage Parquet insights always reflect the latest data by connecting your databases to Azure Blob Storage Parquet with change data capture.
  • Or connect critical SaaS apps to Azure Blob Storage Parquet with real-time data pipelines.
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Feature Comparison

EstuaryBatch ELT/ETLDIY PythonKAFKA
Price$$$-$$$$$-$$$$$-$$$$
Speed<100ms5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
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