No-code pipeline · Azure Table Storage → Amazon S3

Send data from Azure Table Storage to Amazon S3

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From Azure Table Storage to Amazon S3: managed, scheduled, no code.

Kondado replicates Azure Table Storage data to Amazon S3 automatically on a configurable schedule, supporting intervals from every 5 minutes to daily updates, and stores data in formats compatible with Athena, Presto, and Dremio query engines.

Connect Azure Table Storage now →

Send Azure Table Storage Data to Amazon S3

Kondado provides a direct integration between Azure Table Storage and Amazon S3, enabling you to replicate your NoSQL data to scalable cloud storage without writing code. Configure your Azure Table Storage connection as a data source, set Amazon S3 as your destination, and define your preferred update frequency from every 5 minutes to daily intervals. The platform handles the data movement automatically on a configurable schedule, ensuring your S3 buckets contain the latest information for analytics workloads and data lake architectures.

Once your data lands in Amazon S3, you can leverage it with AWS analytics services or combine it with other sources for comprehensive reporting in tools like Power BI or Looker Studio. This pipeline eliminates manual exports and keeps your data lake current for business intelligence applications, allowing analysts to focus on insights rather than data preparation.

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The Tables and Views pipeline automatically maps all your Azure Table Storage entities and makes them available in Amazon S3 for analysis. With your NoSQL data stored in S3, you can run complex queries through Athena to identify usage patterns, or feed the data into Dremio for virtualization across multiple datasets. This setup supports building custom dashboards that combine Azure Table Storage information with other business data sources, giving you a unified view of operations without manual data wrangling. Teams can also use the replicated data to power machine learning models or generate automated reports that refresh on the same schedule as your data updates.

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Replicated to Amazon S3

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

Amazon S3

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 Amazon S3 →

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How to send Azure Table Storage data to Amazon S3

Sync data automatically — no code, no manual exports.

Connect Azure Table Storage

Use the visual interface to add Azure Table Storage as a new data source by entering your connection credentials. The platform validates your access and displays available tables and views for selection.

Configure Amazon S3 Destination

Enter your AWS credentials and specify the target S3 bucket where your Azure Table Storage data will be stored. You can organize the data into specific prefixes to maintain a clean data lake structure.

Select Data and Schedule

Choose which tables and views to replicate from the available pipelines, then set your preferred update frequency from every 5 minutes to daily. The system will begin automated replication according to your configured timeline.

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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

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 Amazon S3 automatically

How does Kondado replicate Azure Table Storage to Amazon S3? ▼

Kondado connects to your Azure Table Storage database and extracts your selected tables and views on a schedule you define. The platform then loads this data into your specified Amazon S3 bucket, organizing it in a structure optimized for query engines like Athena and Presto.

What Azure Table Storage data can I replicate to Amazon S3? ▼

The Tables and Views pipeline maps all available tables and views from your Azure Table Storage account. You select which specific entities to replicate during setup, allowing you to choose exactly which NoSQL datasets arrive in your S3 buckets.

How often can I update my Azure Table Storage data in Amazon S3? ▼

Kondado supports configurable update frequencies ranging from every 5 minutes to daily intervals. You select the schedule based on your business needs, whether you require near-real-time analytics or daily batch processing for your data lake.

What file format does Azure Table Storage data use in Amazon S3? ▼

Data arrives in formats compatible with AWS analytics services, typically structured to work efficiently with Athena, Presto, and Dremio. This ensures you can query your replicated Azure Table Storage data immediately using standard SQL without additional transformation steps.

Can I combine Azure Table Storage data with other sources after replicating to S3? ▼

Yes, once your data resides in Amazon S3, you can blend it with information from other platforms. Send your consolidated datasets to BigQuery, PostgreSQL, or business intelligence tools like Power BI for unified reporting across multiple data sources.

Do I need coding skills to send Azure Table Storage data to Amazon S3? ▼

No coding is required to establish this connection. The visual interface guides you through connecting your Azure Table Storage account, selecting your S3 destination, and choosing which data to replicate without writing API calls or scripts.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days