No-code pipeline · PostgreSQL → BigQuery

Send data from PostgreSQL to BigQuery

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

Kondado automatically replicates all tables and views from your PostgreSQL database to BigQuery on a user-configured schedule, transforming your relational data into query-ready format within Google’s serverless analytics platform without requiring any coding or manual intervention.

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PostgreSQL to BigQuery: Automated Data Replication

To send PostgreSQL data to BigQuery, you need a reliable pipeline that connects your relational database to Google’s serverless data warehouse. Kondado provides a direct connection that replicates your PostgreSQL tables and views into BigQuery on a configurable schedule, eliminating manual exports and complex ETL scripts. Whether you need near-real-time updates every 5 minutes or daily batch loads, our platform automates the entire process so your analytics team always works with fresh data.

Once your PostgreSQL data lands in BigQuery, you can combine it with information from MySQL, Amazon S3, or other sources to create comprehensive business reports. This enables advanced analytics, machine learning models, and sophisticated visualizations in tools like Looker Studio or Power BI that would be impossible to achieve within the constraints of a traditional relational database alone.

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Available Pipelines

The Tables and Views pipeline automatically maps your entire PostgreSQL schema, ensuring every table and view becomes available in BigQuery for comprehensive analysis. This includes transactional records, user activity logs, and operational metrics that power your daily business decisions.

With your PostgreSQL data available in BigQuery, you can build custom dashboards in Looker Studio or Power BI that combine database insights with marketing analytics. Analyze customer behavior patterns, track inventory movements, or monitor application performance using SQL queries against petabyte-scale datasets without impacting your production database performance.

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Replicated to BigQuery

Dynamic data

Kondado automatically reads the schema of your PostgreSQL. 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 PostgreSQL to BigQuery →

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How to send PostgreSQL data to BigQuery

Sync data automatically — no code, no manual exports.

Connect Your PostgreSQL Database

Enter your PostgreSQL connection details including host, port, database name, and credentials in Kondado's data source setup. The platform will validate the connection and display all available tables and views from your PostgreSQL environment.

Configure BigQuery Destination

Select BigQuery as your destination and provide your Google Cloud project details, dataset location, and service account credentials. Kondado will prepare the target environment to receive your PostgreSQL data with optimal storage settings.

Select Data and Set Schedule

Choose which tables and views to replicate from the discovered pipelines and define your update frequency, ranging from 5-minute intervals to daily syncs. Once activated, Kondado will begin transferring your PostgreSQL data to BigQuery according to your specifications.

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Send data from PostgreSQL to other destinations

PostgreSQL > Looker Studio

PostgreSQL > Power BI

Other visualizations

PostgreSQL > Amazon S3

PostgreSQL > BigQuery

PostgreSQL > Excel

PostgreSQL > Google Sheets

PostgreSQL > MySQL

PostgreSQL > PostgreSQL

PostgreSQL > Redshift

PostgreSQL > SQL Server

Choose a tool to visualize your PostgreSQL data

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

PostgreSQL > Airtable

PostgreSQL > Alteryx

PostgreSQL > Amazon Quicksight

PostgreSQL > BIMachine

PostgreSQL > Cortex

PostgreSQL > Data Studio

PostgreSQL > Geckoboard

PostgreSQL > Grafana

PostgreSQL > IBM Cognos Analytics

PostgreSQL > Klipfolio

PostgreSQL > Looker Studio

PostgreSQL > Looker

PostgreSQL > Looqbox

PostgreSQL > Metabase

PostgreSQL > Microstrategy

PostgreSQL > Pentaho

PostgreSQL > Power BI

PostgreSQL > Qlik Cloud Analytics

PostgreSQL > Qlik Sense

PostgreSQL > Qlik

PostgreSQL > QlikView

PostgreSQL > Redash

PostgreSQL > Superset

PostgreSQL > Tableau

PostgreSQL > BI TOTVS

PostgreSQL > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending PostgreSQL data to BigQuery automatically

How does the PostgreSQL to BigQuery pipeline work? ▼

Kondado connects directly to your PostgreSQL database using your provided credentials and automatically discovers all available tables and views. The platform then replicates your selected data to BigQuery on your chosen schedule, handling schema mapping and data type conversion automatically so your information arrives query-ready without manual transformation.

What PostgreSQL objects can I replicate to BigQuery? ▼

You can replicate both standard tables and views from your PostgreSQL database to BigQuery. The Tables and Views pipeline automatically detects all available objects in your schema, allowing you to select specific datasets or replicate your entire database structure for comprehensive analytics.

How often does PostgreSQL data update in BigQuery? ▼

Kondado updates your BigQuery datasets on a configurable schedule that you control, with options ranging from every 5 minutes to daily or weekly intervals. This flexibility allows you to balance data freshness against database load, ensuring near-real-time analytics for critical metrics while conserving resources for less time-sensitive reporting.

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

Yes, BigQuery serves as a central data warehouse where your PostgreSQL information can coexist alongside data from MySQL, SQL Server, Amazon S3, and other sources. This consolidation enables cross-platform analytics, allowing you to join customer data from your application database with marketing metrics or financial records stored elsewhere.

Do I need to create tables manually in BigQuery before replicating? ▼

No, Kondado automatically creates the necessary dataset structures in BigQuery during the initial replication process. The platform maps PostgreSQL data types to their BigQuery equivalents and establishes the schema based on your source tables, eliminating setup overhead and ensuring consistency between your database and data warehouse.

How is the data structured when PostgreSQL tables arrive in BigQuery? ▼

Your PostgreSQL tables arrive in BigQuery as structured datasets that preserve your original column names and relationships while converting data types to BigQuery standards. Each table becomes a separate dataset within your chosen BigQuery project, maintaining the organizational logic of your source database while optimizing for Google's columnar storage format.

Can I filter which PostgreSQL tables get replicated to BigQuery? ▼

Yes, Kondado allows you to select specific tables and views from your PostgreSQL database rather than replicating everything. This selective replication helps you control costs and focus your analytics on relevant datasets, ensuring only the business-critical information from your PostgreSQL environment transfers to BigQuery.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days