No-code pipeline · BigQuery → SQL Server

Send data from BigQuery to SQL Server

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From BigQuery to SQL Server: managed, scheduled, no code.

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

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Replicate BigQuery Data to SQL Server Automatically

Sending BigQuery data to SQL Server requires a reliable pipeline that handles schema mapping and automated updates without manual intervention. Kondado provides a direct connection between these two databases, allowing you to replicate your Google Cloud data into Microsoft 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 always contains the latest information from BigQuery. This automated approach eliminates the need for manual CSV exports or custom scripts, saving hours of engineering time while maintaining data consistency across your infrastructure.

Kondado automatically maps BigQuery tables and views to SQL Server and replicates data on a configurable schedule, eliminating manual exports and maintaining fresh datasets for reporting.

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 discovers and replicates all your BigQuery datasets into SQL Server, preserving schema structures and data relationships throughout the transfer process. Once your data arrives in SQL Server, you can combine it with existing business databases to create unified reporting layers, build custom analytics dashboards that blend Google Cloud metrics with internal ERP data, or power operational applications that rely on fresh BigQuery insights without direct API calls to Google Cloud. This pipeline handles both your raw data tables and any pre-calculated views you’ve built in BigQuery, ensuring your SQL Server environment contains complete datasets ready for complex querying and analysis.

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Replicated to SQL Server

Dynamic data

Kondado automatically reads the schema of your BigQuery. 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 BigQuery to SQL Server →

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How to send BigQuery data to SQL Server

Sync data automatically — no code, no manual exports.

Add BigQuery as your data source

Authenticate your BigQuery project in Kondado to establish a connection with your datasets. This enables the platform to read your BigQuery content and prepare it for replication to SQL Server.

Configure your SQL Server destination

Enter your SQL Server connection details including server address, database name, and credentials. Kondado will prepare the destination schema to receive your BigQuery data structures and create the necessary pipelines.

Select data and schedule updates

Choose which BigQuery data to replicate and set your preferred update frequency, from every 5 minutes to daily intervals. Once configured, your data becomes available in SQL Server for analysis in Power BI or other business intelligence tools.

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Send data from BigQuery to other destinations

BigQuery > Looker Studio

BigQuery > Power BI

Other visualizations

BigQuery > Amazon S3

BigQuery > BigQuery

BigQuery > Excel

BigQuery > Google Sheets

BigQuery > MySQL

BigQuery > PostgreSQL

BigQuery > Redshift

BigQuery > SQL Server

Choose a tool to visualize your BigQuery data

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

BigQuery > Airtable

BigQuery > Alteryx

BigQuery > Amazon Quicksight

BigQuery > BIMachine

BigQuery > Cortex

BigQuery > Data Studio

BigQuery > Geckoboard

BigQuery > Grafana

BigQuery > IBM Cognos Analytics

BigQuery > Klipfolio

BigQuery > Looker Studio

BigQuery > Looker

BigQuery > Looqbox

BigQuery > Metabase

BigQuery > Microstrategy

BigQuery > Pentaho

BigQuery > Power BI

BigQuery > Qlik Cloud Analytics

BigQuery > Qlik Sense

BigQuery > Qlik

BigQuery > QlikView

BigQuery > Redash

BigQuery > Superset

BigQuery > Tableau

BigQuery > BI TOTVS

BigQuery > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending BigQuery data to SQL Server automatically

How does Kondado replicate BigQuery data to SQL Server? ▼

Kondado connects directly to your BigQuery project using your credentials, then automatically maps your datasets to corresponding structures in SQL Server. The platform replicates data on your chosen schedule, handling schema creation and data type conversion without requiring manual SQL scripts or engineering resources.

What BigQuery objects can I replicate to SQL Server? ▼

The Tables and Views pipeline replicates your BigQuery content including partitioned storage, clustered data, and any views you've created to pre-aggregate or filter information. This ensures both your raw data structures and pre-calculated views from Google Cloud arrive in SQL Server ready for querying.

How often can I update my BigQuery data in SQL Server? ▼

You can configure updates to run as frequently as every 5 minutes or set longer intervals such as hourly or daily syncs depending on your business needs. This near-real-time capability ensures your SQL Server reports reflect recent BigQuery activity without overwhelming your database with constant updates.

Does Kondado preserve data types when replicating from BigQuery to SQL Server? ▼

Kondado automatically converts BigQuery data types to their SQL Server equivalents during replication, handling timestamps, strings, numerics, and nested structures appropriately. This ensures your existing SQL queries and stored procedures work correctly without manual data type adjustments after migration.

Can I combine BigQuery data with other sources in SQL Server? ▼

Yes, Kondado supports over 80 data sources that can all replicate to the same SQL Server instance, allowing you to join BigQuery metrics with PostgreSQL records or MySQL data within your database. This unified approach enables comprehensive analytics that correlate your Google Cloud data with internal business systems without maintaining separate data silos.

What happens when I add new tables to BigQuery? ▼

The Tables and Views pipeline automatically detects new data structures added to your BigQuery datasets during subsequent replication cycles. These new elements are automatically created in SQL Server with appropriate schemas, ensuring your expanding Google Cloud data warehouse stays synchronized without manual pipeline reconfiguration.

Can I use the replicated data with BI tools? ▼

Once your BigQuery data resides in SQL Server, you can connect Power BI or Looker Studio directly to your database for visualization and reporting. This allows you to build custom dashboards that leverage SQL Server's processing power while accessing fresh BigQuery insights, or export subsets to Google Sheets for ad-hoc analysis.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days