No-code pipeline · SQLServer → Redshift

Send data from SQLServer to Redshift

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From SQLServer to Redshift: managed, scheduled, no code.

Creating a pipeline that sends data from SQLServer to Redshift data warehouses takes only a few minutes with Kondado. And the whole integration from SQLServer to Redshift is managed and executed by our platform. With Kondado, you can focus on extracting value from SQLServer data and combining it with other data in your Redshift data warehouse

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Replicate SQLServer Data to Redshift Automatically

Setting up a data pipeline from SQLServer to Redshift requires no coding or complex ETL scripts. You configure your SQLServer data source credentials, select Amazon Redshift as your destination, and choose which tables and views to replicate. Kondado handles the schema mapping and data type conversion automatically, moving your Microsoft SQL Server data into your AWS data warehouse on a configurable schedule.

Kondado provides a direct integration between SQLServer and Redshift that automatically replicates your database tables and views to your Amazon data warehouse every 5 minutes, 15 minutes, hourly, or daily based on your configuration. Once configured, the platform maintains automated updates without manual intervention, keeping your Redshift environment current with your SQLServer production data for analytics and business intelligence.

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The Tables and Views pipeline automatically discovers and replicates all available database objects from your SQLServer instance to Redshift. This includes your transactional tables, historical records, and custom views that power your operational reports. Once your data lands in Redshift, you can combine SQLServer sales figures with web analytics from other sources to build comprehensive dashboards in Looker Studio or Power BI, enabling cross-functional teams to analyze performance metrics without impacting your production database performance or writing complex extraction scripts.

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Replicated to Redshift

Dynamic data

Kondado automatically reads the schema of your SQLServer. 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 SQLServer to Redshift →

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How to send SQLServer data to Redshift

Sync data automatically — no code, no manual exports.

Connect your SQLServer database

Enter your SQLServer host address, database name, and authentication credentials in Kondado's data source configuration. The platform validates the connection and automatically discovers your available tables and views.

Configure your Redshift destination

Provide your Amazon Redshift cluster endpoint, port, and database credentials to establish the target warehouse. Kondado tests the connection to ensure your SQLServer data can flow directly into your AWS environment.

Select data and set schedule

Choose which tables and views to replicate from the discovered SQLServer objects, then specify your update frequency from 5-minute intervals to daily batches. The platform begins automated replication immediately upon activation.

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Send data from SQLServer to other destinations

SQLServer > Looker Studio

SQLServer > Power BI

Other visualizations

SQLServer > Amazon S3

SQLServer > BigQuery

SQLServer > Excel

SQLServer > Google Sheets

SQLServer > MySQL

SQLServer > PostgreSQL

SQLServer > Redshift

SQLServer > SQL Server

Choose a tool to visualize your SQLServer data

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

SQLServer > Airtable

SQLServer > Alteryx

SQLServer > Amazon Quicksight

SQLServer > BIMachine

SQLServer > Cortex

SQLServer > Data Studio

SQLServer > Geckoboard

SQLServer > Grafana

SQLServer > IBM Cognos Analytics

SQLServer > Klipfolio

SQLServer > Looker Studio

SQLServer > Looker

SQLServer > Looqbox

SQLServer > Metabase

SQLServer > Microstrategy

SQLServer > Pentaho

SQLServer > Power BI

SQLServer > Qlik Cloud Analytics

SQLServer > Qlik Sense

SQLServer > Qlik

SQLServer > QlikView

SQLServer > Redash

SQLServer > Superset

SQLServer > Tableau

SQLServer > BI TOTVS

SQLServer > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending SQLServer data to Redshift automatically

How does Kondado replicate SQLServer data to Redshift without coding? ▼

The platform provides a visual interface where you enter your SQLServer connection details and Redshift credentials. Kondado automatically extracts your selected tables, handles the schema translation between Microsoft SQL Server and PostgreSQL-based Redshift, and loads the data on your chosen schedule. You manage the entire process through the web interface without writing SQL scripts or managing infrastructure.

What SQLServer objects can I replicate to my Redshift warehouse? ▼

You can replicate all standard tables and custom views available in your SQLServer database through the Tables and Views pipeline. This includes your production transaction tables, reporting views, and historical data stores. The pipeline automatically detects available objects and allows you to select specific datasets for replication rather than moving unnecessary data.

How often can I update my Redshift data from SQLServer? ▼

Kondado supports automated updates on a configurable schedule ranging from every 5 minutes to daily intervals. You select the frequency based on your analytics requirements and database load considerations. Near-real-time updates keep your Power BI dashboards current, while hourly or daily schedules work well for historical trend analysis.

Does Kondado convert SQLServer data types to Redshift-compatible formats? ▼

Yes, the platform automatically maps SQLServer data types to their Redshift equivalents during the replication process. VARCHAR, NVARCHAR, DATETIME, DECIMAL, and other Microsoft-specific formats translate seamlessly into PostgreSQL-compatible types for your AWS warehouse. This ensures your existing queries and reporting logic work correctly after migration.

Can I combine SQLServer data with other sources in Redshift? ▼

Absolutely. Once your SQLServer data resides in Redshift, you can join it with information from BigQuery, PostgreSQL, or cloud applications to create unified datasets. This enables comprehensive analytics across your entire technology stack, such as correlating on-premise inventory data with online marketing metrics.

What happens when I add new tables to my SQLServer database? ▼

The Tables and Views pipeline automatically detects new tables and views as they become available in your SQLServer instance. You can then select these newly discovered objects for replication to Redshift without reconfiguring your existing pipelines. This ensures your data warehouse grows alongside your operational database schema.

Do I need to create the tables in Redshift before replicating? ▼

No, Kondado handles the table creation and schema setup in your Redshift cluster automatically. The platform analyzes your SQLServer structure and generates the appropriate CREATE TABLE statements for your AWS environment. You simply provide your Redshift connection credentials and the destination schema name.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days