No-code pipeline · Azure Table Storage → SQL Server

Send data from Azure Table Storage to SQL Server

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

Creating a pipeline that sends data from Azure Table Storage to SQL Server databases takes only a few minutes with Kondado. And the whole integration from Azure Table Storage to SQL Server 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 SQL Server database

Connect Azure Table Storage now →

Send Azure Table Storage Data to SQL Server

Kondado enables you to send Azure Table Storage data to SQL Server without writing code or managing complex ETL scripts. Our platform provides a direct data source connection that automatically replicates your NoSQL data into relational tables within SQL Server on a configurable schedule. You can set updates to run every 5 minutes, hourly, or daily depending on your business requirements, ensuring your SQL Server database always contains fresh information for analysis and reporting.

Once your data arrives in SQL Server, you can combine it with information from other sources to build comprehensive business intelligence solutions. The automated replication process handles schema mapping and data type conversion, allowing you to focus on creating insights rather than maintaining data infrastructure. This seamless connection supports both small-scale reporting needs and enterprise-level data warehousing scenarios.

Kondado automatically replicates Azure Table Storage data to SQL Server on a user-configured schedule, eliminating manual data exports and maintaining consistent data flows between your NoSQL storage and relational database.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

The Tables and Views pipeline automatically maps all available data structures from your Azure Table Storage account, bringing every entity collection into SQL Server as queryable relational data. This comprehensive replication allows you to perform complex joins, aggregations, and transformations using T-SQL on your previously NoSQL data. You can merge Azure Table Storage information with existing SQL Server datasets to create unified reporting models that span both your application logs and relational business records, enabling deeper operational insights and supporting sophisticated decision-making processes across your entire data ecosystem without managing complex ETL workflows.

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Replicated to SQL Server

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

SQL Server

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 SQL Server →

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How to send Azure Table Storage data to SQL Server

Sync data automatically — no code, no manual exports.

Connect Azure Table Storage Account

Authenticate your Azure Table Storage account in Kondado by providing your storage account name and access key to establish the data source connection.

Configure SQL Server Destination

Enter your SQL Server instance details including server address, database name, and authentication credentials to establish where your replicated data will reside.

Select Pipelines and Schedule

Choose which data pipelines to replicate from Azure Table Storage and configure your automated update schedule to run every 5 minutes, hourly, or daily according to your business needs.

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Send data from Azure Table Storage to other destinations

Azure Table Storage > Looker Studio

Azure Table Storage > Power BI

Other visualizations

Azure Table Storage > Amazon S3

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Azure Table Storage > Google Sheets

Azure Table Storage > MySQL

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

Azure Table Storage > Alteryx

Azure Table Storage > Amazon Quicksight

Azure Table Storage > BIMachine

Azure Table Storage > Cortex

Azure Table Storage > Data Studio

Azure Table Storage > Geckoboard

Azure Table Storage > Grafana

Azure Table Storage > IBM Cognos Analytics

Azure Table Storage > Klipfolio

Azure Table Storage > Looker Studio

Azure Table Storage > Looker

Azure Table Storage > Looqbox

Azure Table Storage > Metabase

Azure Table Storage > Microstrategy

Azure Table Storage > Pentaho

Azure Table Storage > Power BI

Azure Table Storage > Qlik Cloud Analytics

Azure Table Storage > Qlik Sense

Azure Table Storage > Qlik

Azure Table Storage > QlikView

Azure Table Storage > Redash

Azure Table Storage > Superset

Azure Table Storage > Tableau

Azure Table Storage > BI TOTVS

Azure Table Storage > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Azure Table Storage data to SQL Server automatically

How does the Azure Table Storage to SQL Server replication process work? ▼

Kondado connects directly to your Azure Table Storage account using your provided credentials and continuously monitors your selected pipelines for changes. When a scheduled update triggers, the platform extracts your NoSQL entities, converts them to relational format, and loads them into your SQL Server database tables using optimized batch processing techniques.

What Azure Table Storage data structures can I replicate to SQL Server? ▼

You can replicate data from the Tables and Views pipeline, which encompasses all entity collections and view definitions stored in your Azure Table Storage account. This includes application logs, user session records, IoT device telemetry, and any other structured entities stored as NoSQL data.

How frequently can I update my Azure Table Storage data in SQL Server? ▼

Kondado offers flexible scheduling options ranging from near-real-time updates every 5 minutes to daily batch refreshes, allowing you to balance data freshness with system resources. You can configure different schedules for different pipelines or adjust frequencies as your business requirements change without disrupting existing data flows.

In what format does my Azure Table Storage data appear in SQL Server? ▼

Your NoSQL entities are transformed into standard relational tables with appropriate SQL data types, making them immediately queryable using T-SQL syntax and compatible with SQL Server Management Studio. You can then connect this data to Power BI or Looker Studio to create custom dashboards that visualize your Azure Table Storage metrics alongside other business data.

Can I merge Azure Table Storage data with information from other platforms in SQL Server? ▼

Yes, SQL Server acts as a central repository where you can join your replicated Azure Table Storage data with datasets from other sources you have connected to Kondado. You can also send your consolidated SQL Server data to visualization tools like Power BI or Google Sheets for comprehensive analytics.

Does Kondado require manual schema mapping between Azure Table Storage and SQL Server? ▼

No, the platform automatically detects your Azure Table Storage structure and creates corresponding SQL Server schemas without requiring manual configuration. This automated mapping preserves your original data relationships while optimizing the structure for relational queries, allowing you to immediately begin analyzing your data using standard T-SQL operations.

Is coding required to set up the Azure Table Storage to SQL Server connection? ▼

Kondado provides a completely no-code interface for establishing your data source connection, allowing you to authenticate and configure the replication through our web-based setup wizard. You simply select your Azure Table Storage account, choose your destination database, and define your update schedule without writing any API scripts or ETL code.

Can I use my Azure Table Storage data in SQL Server with business intelligence tools? ▼

Once replicated to SQL Server, your data becomes accessible to any BI tool that connects to SQL Server, including Power BI and Looker Studio. This allows you to build custom reports and dashboards that incorporate your NoSQL application data alongside traditional relational business metrics for comprehensive organizational insights.

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Related on Kondado

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