No-code pipeline · SQLServer → BigQuery

Send data from SQLServer to BigQuery

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

Creating a pipeline that sends data from SQLServer to BigQuery data warehouses takes only a few minutes with Kondado. And the whole integration from SQLServer to BigQuery 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 BigQuery data warehouse

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Replicate SQLServer Data to BigQuery Automatically

How to send SQLServer data to BigQuery? Kondado offers a streamlined way to replicate data from your Microsoft SQLServer database to Google’s serverless data warehouse without writing code. Simply authenticate your SQLServer instance as a data source, designate BigQuery as your destination, and select which database objects you want to replicate through the available pipelines. The platform handles schema mapping, data type conversion, and transfer processes automatically on your chosen schedule, delivering fresh data every few minutes or daily depending on your business needs. This automated approach eliminates manual CSV exports and complex scripting, allowing your team to focus on analysis rather than data engineering.

Kondado automatically replicates tables and views from SQLServer to BigQuery on a configurable schedule, enabling near-real-time analytics without manual extraction or transformation work.

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

Available Data Pipelines

With the Tables and Views pipeline, Kondado automatically discovers your SQLServer schema and replicates both transactional tables and custom views to BigQuery. Once your operational data lands in Google’s data warehouse, you can unify it with information from PostgreSQL or other sources to build comprehensive analytics. Create custom reports in Looker Studio or Power BI, run complex SQL queries across massive historical datasets, or feed machine learning models with consolidated business intelligence for predictive insights.

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Replicated to BigQuery

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

BigQuery

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 BigQuery →

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How to send SQLServer data to BigQuery

Sync data automatically — no code, no manual exports.

Connect SQLServer to Kondado

Enter your SQLServer connection details including server address, database name, and credentials in the Kondado data source setup to establish the initial connection to your Microsoft database.

Configure BigQuery destination

Select BigQuery as your destination and provide your Google Cloud Project details to authorize the data transfer location.

Select data and set schedule

Choose which database objects to replicate from the Tables and Views pipeline and configure your update frequency, from every 5 minutes to daily intervals.

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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 BigQuery automatically

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

Kondado provides a direct connection between SQLServer and BigQuery through an intuitive interface where you authenticate your database credentials and select your destination. The platform automatically handles schema discovery, data type conversion, and load processes, eliminating the need for custom Python scripts or ETL engineering. You simply choose your update frequency and which tables to include, and Kondado manages the ongoing replication.

What SQLServer objects can I replicate to BigQuery using Kondado? ▼

Kondado's Tables and Views pipeline automatically maps all available tables and views from your SQLServer database, including both system and user-created objects. This allows you to replicate transactional tables containing operational data alongside custom views that encapsulate business logic or filtered datasets. You can select specific objects or choose to replicate your entire schema depending on your analytics requirements.

How often can I schedule SQLServer updates to BigQuery? ▼

Kondado offers flexible scheduling options ranging from every 5 minutes to daily intervals, allowing you to balance data freshness with computational costs. For near-real-time analytics requirements, choose shorter intervals like 5 or 15 minutes, while historical reporting might suit hourly or daily updates. The configurable schedule ensures your BigQuery datasets stay current without overwhelming your source SQLServer instance.

In what format does my SQLServer data arrive in BigQuery? ▼

Your SQLServer tables and views are replicated to BigQuery as native tables with preserved schema structures and optimized data types for Google's data warehouse. Kondado automatically converts SQLServer data types to their BigQuery equivalents during the replication process, maintaining referential integrity and column naming. The data lands in a query-ready format that supports immediate analysis through SQL queries or connection to visualization tools.

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

Once your SQLServer data resides in BigQuery, you can easily join it with datasets from PostgreSQL, Google Sheets, or other business applications that you also replicate through Kondado. This unified approach enables cross-platform analytics, such as correlating sales data from SQLServer with marketing metrics from other sources. BigQuery's serverless architecture handles the complex joins efficiently, giving you a single source of truth for comprehensive reporting.

Do I need to map SQLServer data types to BigQuery manually? ▼

No, Kondado automatically handles the conversion between SQLServer and BigQuery data types during the initial setup and ongoing replication. The platform recognizes SQLServer-specific types like datetime, money, or varchar and translates them to appropriate BigQuery standards such as TIMESTAMP, NUMERIC, or STRING. This automated mapping ensures your data maintains its semantic meaning while being compatible with BigQuery's query engine.

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

When you add new tables or views to your SQLServer instance, Kondado's automatic schema detection identifies these additions during the next scheduled update cycle. You can then choose to include these new pipelines in your existing BigQuery replication with a few clicks, without disrupting your current data flows. This ensures your analytics environment scales naturally as your source database evolves.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days