What do I need to connect BigQuery to Kondado?

You need a Google Account with access to the target BigQuery project, plus the specific Project ID and Dataset ID you want to replicate. The authorization uses standard Google OAuth, which means you simply authenticate through your browser without downloading additional software or configuring firewall rules. Once authenticated, Kondado displays available tables and schemas for you to select.

Do I need to whitelist IP addresses for BigQuery pipelines?

No IP whitelisting is required because Kondado uses a cloud-to-cloud connection to access your BigQuery data. Since both platforms operate within cloud environments, the OAuth-based authentication handles the connection between services automatically. This simplifies setup compared to traditional database connections that require specific network configurations.

How do I choose which BigQuery tables to replicate?

After connecting your Google Account and entering your Project and Dataset IDs, Kondado uses dynamic mapping to display all available tables and schemas within that dataset. You simply select the specific data structures you want to replicate from the visual interface, choosing only the tables relevant to your analysis rather than syncing entire datasets unnecessarily.

Does Kondado support incremental updates for BigQuery data?

Yes, Kondado supports incremental replication for BigQuery, allowing you to sync only new or changed records since the last update rather than full table refreshes. You can configure these updates to run on a configurable schedule ranging from every five minutes to daily, depending on how frequently your BigQuery data changes and your reporting requirements.

Can I combine BigQuery data with other platforms in Kondado?

Absolutely, you can create unified datasets by combining BigQuery information with over 80 other data sources available in Kondado. This enables cross-platform analysis such as correlating your warehouse transaction records with marketing campaign data from advertising platforms or support ticket information from helpdesk systems.

Where can I send my BigQuery data using Kondado?

You can replicate BigQuery data to business intelligence tools like Power BI and Looker Studio , spreadsheets including Google Sheets and Excel, or other databases such as PostgreSQL , MySQL, Redshift, and SQL Server. You can also send data to cloud storage solutions like Amazon S3 for backup or further processing.

How does Kondado use the BigQuery API to access my data?

Kondado leverages the BigQuery API through OAuth authentication to read your selected datasets and tables without requiring service account keys or complex JSON credential files. This approach allows dynamic discovery of your schema structure while maintaining the permissions defined in your Google Cloud IAM settings.

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Connect BigQuery to Your Data Stack

Organizations using Google BigQuery as their cloud data warehouse can centralize massive datasets ranging from customer transaction records and marketing campaign metrics to operational logs and financial reporting structures. Through Kondado, you can replicate analytical datasets, behavioral analytics, and business intelligence aggregates stored in your serverless environment into destinations like Power BI or Google Sheets. This enables teams to unify BigQuery data with other organizational sources for comprehensive reporting and strategic decision-making across departments.

Kondado connects to BigQuery through Google Account OAuth authorization, requiring only your Project ID and Dataset ID to establish the pipeline. This cloud-to-cloud connection eliminates the need for IP whitelisting, allowing you to dynamically map selected BigQuery tables and schemas into pipelines that replicate to any supported destination on a configurable schedule ranging from every five minutes to daily.

Data engineers benefit by automating the flow of warehouse aggregates into downstream processing environments without manual extraction scripts. Marketing analysts can build sophisticated attribution models combining BigQuery behavioral data with advertising platform metrics to optimize spend, while finance teams create rolling forecasts by replicating historical transaction pipelines into spreadsheets or BI environments. Operations managers leverage this connectivity to monitor supply chain KPIs and inventory trends through automated dashboards that refresh on your preferred timeline.

The Kondado platform takes care of refreshing BigQuery data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing BigQuery data in your report, spreadsheet, data warehouse, data lake, or database

Once you configure your BigQuery credentials and select specific datasets for replication, your cloud data warehouse becomes a seamless source for automated analytics. With BigQuery data flowing into visualization tools, you can construct executive dashboards tracking monthly recurring revenue, customer lifetime value calculations, and cohort retention analyses that update automatically. Finance teams can generate P&L reports and cash flow statements directly in spreadsheets, while data teams load warehouse aggregates into PostgreSQL or Redshift for further transformation and modeling. By blending BigQuery information with CRM records, advertising platforms, or e-commerce data within Kondado, you unlock cross-platform insights such as complete customer journey mapping and unified funnel analysis across touchpoints. This consolidation enables marketing analysts to attribute revenue accurately across channels and operations managers to identify efficiency bottlenecks by correlating warehouse data with external metrics. Your analyses stay current through automated updates that run on your chosen schedule, ensuring decision-makers always access the latest BigQuery analytics without manual refreshes.

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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

What Kondado extracts

Tabelas e Views

Kondado automatically maps all tables and views available in your database

Integration	Description
Tabelas e Views	Kondado automatically maps all tables and views available in your database

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How to visualize BigQuery data in 3 steps

Connect BigQuery to dashboards, spreadsheets, or databases — no code required.

Connect BigQuery to Kondado

Authenticate your Google Account through OAuth and enter your BigQuery Project ID and Dataset ID to establish the pipeline connection without IP whitelisting requirements.

Select tables and destination

Choose which BigQuery tables and schemas to replicate into pipelines, then send your data to Power BI, Google Sheets, BigQuery, PostgreSQL, or other supported destinations.

Visualize and analyze your data

Create executive dashboards in Power BI or Looker Studio, manipulate figures in Google Sheets or Excel, and store processed results in database tables such as PostgreSQL, MySQL, or Redshift for comprehensive BigQuery analytics.

Try out all the features for free for 14 days