No-code pipeline · Azure Table Storage → PostgreSQL

Send data from Azure Table Storage to PostgreSQL

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From Azure Table Storage to PostgreSQL: managed, scheduled, no code.

Creating a pipeline that sends data from Azure Table Storage to PostgreSQL databases takes only a few minutes with Kondado. And the whole integration from Azure Table Storage to PostgreSQL is managed and executed by our platform. With Kondado, you can focus on extracting value from Azure Table Storage data and combining it with other data in your PostgreSQL database

Connect Azure Table Storage now →

Send Azure Table Storage Data to PostgreSQL

Kondado provides a direct integration between Azure Table Storage and PostgreSQL, allowing you to replicate your NoSQL data into the world’s most advanced open-source database without writing any code. Simply connect your Azure storage account as a data source, select the tables and views you want to replicate through our automated mapping pipeline, and configure your update schedule to run every 5 minutes, hourly, or daily based on your business needs. Once your data arrives in PostgreSQL, you can perform complex SQL queries, create joins with other datasets, and build sophisticated analytics workflows that leverage PostgreSQL’s advanced query optimization and indexing capabilities.

Kondado automatically maps all Azure Table Storage tables and views to PostgreSQL through a direct integration, replicating your NoSQL data on a configurable schedule to enable complex SQL analysis, reporting, and data warehousing workflows without manual engineering.

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The Tables and Views pipeline automatically discovers and replicates all your Azure Table Storage entities into PostgreSQL relational tables, preserving your partition keys, row keys, and custom properties for immediate SQL querying. Once replicated, you can combine this NoSQL data with information from other sources alongside your Azure Table Storage data to create unified analytics environments within PostgreSQL. Build custom dashboards in Power BI or Looker Studio that blend high-volume storage metrics with transactional data from MySQL or Amazon S3 for comprehensive business intelligence and operational reporting.

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Replicated to PostgreSQL

Dynamic data

Kondado automatically reads the schema of your Azure Table Storage. All tables, views, and fields available in your account are extracted without manual configuration.

available pipeline

PostgreSQL

Destination

What Kondado extracts

Tabelas e Views

Kondado automatically maps all tables and views available in your database

See all available data → Send Azure Table Storage to PostgreSQL →

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How to send Azure Table Storage data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Azure Table Storage

Enter your Azure storage account credentials and connection strings to establish your Azure Table Storage data source within Kondado's platform.

Configure PostgreSQL Destination

Provide your PostgreSQL host, database name, and authentication details to establish the destination where your replicated data will reside.

Select Data and Schedule

Choose the Tables and Views pipeline to automatically map your storage entities, then set your preferred replication frequency from 5-minute intervals to daily updates.

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Send data from Azure Table Storage to other destinations

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Azure Table Storage > Power BI

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Azure Table Storage > PostgreSQL

Azure Table Storage > Redshift

Azure Table Storage > SQL Server

Choose a tool to visualize your Azure Table Storage data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Azure Table Storage > Airtable

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Azure Table Storage > Pentaho

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Frequently Asked Questions (FAQ)

Answers about sending Azure Table Storage data to PostgreSQL automatically

How does Kondado replicate data from Azure Table Storage to PostgreSQL? ▼

Kondado establishes a direct connection to your Azure storage account and automatically maps your Table Storage entities to PostgreSQL tables. The platform handles schema conversion from NoSQL to relational format, allowing you to query your data using standard SQL immediately after replication. Updates occur on your chosen schedule, ensuring your PostgreSQL database reflects the latest information from Azure without manual intervention.

What specific data from Azure Table Storage gets replicated to PostgreSQL? ▼

The Tables and Views pipeline replicates all tables and views available in your Azure Table Storage account, including partition keys, row keys, timestamps, and custom properties. Each entity becomes a row in PostgreSQL, with properties mapped to appropriate column types for efficient querying. This includes both system metadata and your custom application data stored in the NoSQL tables.

How often can I update my Azure Table Storage data in PostgreSQL? ▼

You can configure update schedules ranging from every 5 minutes to daily, depending on your business requirements and data velocity. Near-real-time updates ensure analysts work with current information, while less frequent schedules optimize for cost efficiency with large datasets. The configurable schedule allows you to balance freshness with resource consumption based on your specific use case.

What format does Azure Table Storage data take when replicated to PostgreSQL? ▼

Your NoSQL entities transform into structured relational tables within PostgreSQL, with each property becoming a typed column suitable for SQL operations. Partition keys and row keys convert to indexed columns that maintain data relationships and optimize query performance. This structured format enables complex joins, aggregations, and window functions that are difficult to perform directly against the NoSQL source.

Can I combine Azure Table Storage data with other sources in PostgreSQL? ▼

Yes, once your Azure Table Storage data resides in PostgreSQL, you can join it with data replicated from other sources such as MySQL, Amazon S3, or SQL Server within the same database. This unified approach enables cross-platform analytics, allowing you to correlate application logs with transactional records or combine customer data from multiple systems. Create comprehensive datasets that power custom dashboards in Looker Studio or Power BI without moving data between platforms.

Do I need to manually map Azure Table Storage columns to PostgreSQL tables? ▼

No, Kondado automatically discovers your Table Storage schema and maps all properties to appropriate PostgreSQL column types during the initial setup. The platform handles type conversion and creates the necessary table structures, eliminating the need for manual schema definition or ETL scripting. If your Azure schema changes, the pipeline adapts to capture new properties in subsequent replication cycles.

Can I use the replicated data to build reports in Power BI or Looker Studio? ▼

Absolutely, your PostgreSQL database serves as a powerful backend for business intelligence tools, allowing you to create custom reports and dashboards that visualize your Azure Table Storage data. Connect Power BI or Looker Studio directly to your PostgreSQL instance to build visualizations that combine NoSQL metrics with relational data from other pipelines. This flexibility supports both operational dashboards and strategic analytics without requiring data exports or manual refreshes.

How do I handle large volumes of data from Azure Table Storage in PostgreSQL? ▼

Kondado efficiently processes large datasets by respecting Azure Table Storage pagination and batching inserts into PostgreSQL to optimize performance. The platform handles high-volume replication through configurable batch sizes and incremental updates that minimize load on both source and destination systems. PostgreSQL's robust indexing and partitioning capabilities further ensure that even massive datasets remain queryable for your analytics workloads.

Try out all the features for free for 14 days

Related on Kondado

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