Stream data from Alloy DB for Postgres to Azure Blob Storage Parquet
Sync your Alloy DB for Postgres data with Azure Blob Storage Parquet in minutes using Estuary for real-time, no-code integration and seamless data pipelines.
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Alloy DB for Postgres connector details
The AlloyDB connector for Estuary Flow uses change data capture (CDC) to replicate inserts, updates, and deletes from your AlloyDB database into Flow collections in near real time. Built on the PostgreSQL capture foundation, it brings AlloyDB’s scalability and Google Cloud integration into the Estuary ecosystem with minimal setup effort.
- Continuously streams row-level changes from AlloyDB using PostgreSQL logical replication
- Supports automatic creation of replication slots, publications, and watermark tables
- Requires SSH tunneling for secure access, since AlloyDB doesn’t support IP allowlisting
- Configurable backfill behavior to balance completeness and performance
- Enterprise-ready: Compatible with Estuary’s Private and BYOC deployments for secure, compliant data movement

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.
How to integrate Alloy DB for Postgres with Azure Blob Storage Parquet in 3 simple steps using Estuary
Connect Alloy DB for Postgres as Your Real-Time Data Source
Set up a real-time source connector for Alloy DB for Postgres in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure Azure Blob Storage Parquet as Your Target
Choose Azure Blob Storage Parquet as your target system. Estuary intelligently maps schemas, supports both batch and streaming loads, and adapts to schema changes automatically.
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.
Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
Why Estuary is the best choice for data integration
Estuary combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:

What customers are saying
Increase productivity 4x
With Estuary companies increase productivity 4x and deliver new projects in days, not months. Spend much less time on troubleshooting, and much more on building new features faster. Estuary decouples sources and destinations so you can add and change systems without impacting others, and share data across analytics, apps, and AI.
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.

Alloy DB for Postgres to Azure Blob Storage Parquet pricing estimate
Estimated monthly cost to move 800 GB from Alloy DB for Postgres to Azure Blob Storage Parquet is approximately $1,000.
Data moved
Choose how much data you want to move from Alloy DB for Postgres to Azure Blob Storage Parquet each month.
GB
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Why pay more?
Move the same data for a fraction of the cost.



RELATED ARTICLE
Frequently Asked Questions
- Set Up Capture: In Estuary, go to Sources, click + NEW CAPTURE, and select the Alloy DB for Postgres connector.
- Enter Details: Add your Alloy DB for Postgres connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the Alloy DB for Postgres capture, and publish.
What is Alloy DB for Postgres?
How do I Transfer Data from Alloy DB for Postgres?
What are the pricing options for Estuary?
Estuary offers competitive and transparent pricing, with a free tier that includes 2 connector instances and up to 10 GB of data transfer per month. Explore our pricing options to see which plan fits your data integration needs.
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