No-code pipeline · Azure Table Storage → Redshift

Send data from Azure Table Storage to Redshift

Get started for free

No credit card required | 14 days | 10 million records | 30 pipelines

or sign up with your email

By signing up, you agree to Kondado’s Terms of service and Privacy policy

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

Creating a pipeline that sends data from Azure Table Storage to Redshift data warehouses takes only a few minutes with Kondado. And the whole integration from Azure Table Storage to Redshift 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 Redshift data warehouse

Connect Azure Table Storage now →

Azure Table Storage to Redshift Data Pipeline

Kondado enables automated data replication from Azure Table Storage to Amazon Redshift without writing code. Configure your Azure Table Storage data source once, and Kondado handles the extraction, transformation, and loading into your Redshift cluster on a schedule you define. This direct integration eliminates the need for engineering resources to build and maintain custom ETL processes.

Whether you need updates every 5 minutes or daily batches, your NoSQL data becomes available for complex analytics alongside other business data in Redshift. Eliminate manual exports and maintain consistent data freshness across your analytics infrastructure while enabling your team to run high-performance queries on large datasets. Centralize your Azure storage data with information from other sources to create unified reports and dashboards.

Kondado automatically maps and replicates all tables and views from your Azure Table Storage database to Redshift on a configurable schedule, maintaining data freshness without manual intervention.

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

Available Pipelines

The Tables and Views pipeline automatically discovers and replicates all structured data stored in your Azure Table Storage account to Redshift. Once replicated, you can perform complex SQL queries across your NoSQL datasets, join Azure storage information with transactional data from other systems, and build custom analytics workflows that leverage Redshift’s columnar storage for rapid aggregation. Transform raw entity data into actionable business metrics without managing schema migrations, then connect Power BI or Looker Studio to your Redshift warehouse for visualization.

Try out all the features for free for 14 days

Replicated to Redshift

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

Redshift

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 Redshift →

Try out all the features for free for 14 days

How to send Azure Table Storage data to Redshift

Sync data automatically — no code, no manual exports.

Connect Azure Table Storage

Enter your Azure storage account credentials and connection details to establish your Azure Table Storage data source in Kondado. The platform validates access and discovers available tables and views automatically.

Configure Redshift Destination

Provide your Amazon Redshift cluster credentials and database specifications to establish the target warehouse. Kondado tests the connection to ensure proper write access for your data replication pipeline.

Select Data and Schedule

Choose the specific tables and views you want to replicate from Azure Table Storage, then set your preferred update frequency from 5 minutes to daily. Activate the pipeline to begin automated data replication to Redshift.

Try out all the features for free for 14 days

Hundreds of data-driven companies trust Kondado

Why Kondado?

Focus on extracting value from your data and leave the rest to us

Wherever you need

With the same platform, you send data to AI (Claude/ChatGPT via MCP), reports, spreadsheets, databases, data warehouses, and data lakes. ETL and ELT

Learn More About Our Platform →

From wherever you need

Data from over 80 sources for Marketing, Ecommerce, ERPs, Customer Service, Finance, Databases, and much more

Learn More About Our Data Sources →

Predictable pricing

No surprise invoices, pick a plan and change it anytime

Check out our plans →

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

Azure Table Storage > BigQuery

Azure Table Storage > Excel

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 Redshift automatically

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

Kondado uses the Tables and Views pipeline to automatically map your Azure Table Storage schema and replicate data to Redshift on your chosen schedule. The platform handles extraction, loading, and type conversion without requiring manual ETL development or ongoing maintenance.

What Azure Table Storage entities can I replicate to Redshift? ▼

You can replicate all tables and views available in your Azure Table Storage database through the automated pipeline. This includes all NoSQL entities, partition keys, and row data that become accessible as relational tables in Redshift for SQL analysis.

How frequently can I update my Redshift data from Azure Table Storage? ▼

Kondado supports automated updates on a configurable schedule ranging from every 5 minutes to daily intervals. This near-real-time synchronization ensures your Redshift analytics reflect current Azure storage data without manual refreshes.

What format does Azure Table Storage data take in Redshift? ▼

Your NoSQL data is automatically transformed into relational table structures within Redshift, preserving partition keys, timestamps, and entity properties as queryable columns. This conversion enables standard SQL analytics on previously unstructured storage data.

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

Yes, you can replicate data from multiple sources to the same Redshift instance, including MySQL, SQL Server, and PostgreSQL databases. Once centralized, join your Azure storage entities with transactional data from these systems to create comprehensive business intelligence models.

Do I need to manually create Redshift tables for Azure Table Storage data? ▼

No, Kondado automatically provisions the necessary tables and columns in Redshift based on your Azure Table Storage schema. The platform manages schema evolution, adding new fields as they appear in your source without manual intervention.

Can I choose specific tables to replicate from Azure Table Storage? ▼

Yes, the Tables and Views pipeline allows you to select specific entities from your Azure storage account rather than replicating everything. This selective replication optimizes storage costs and query performance in Redshift by including only relevant datasets.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days