No-code pipeline · WordPress → BigQuery

Send data from WordPress to BigQuery

Get started for free

No credit card required | 14 days | 10 million records | 30 pipelines

sso google logo
Sign up with Google
sso facebook logo
Sign up with Facebook
sso microsoft logo
Sign up with Microsoft
sso linkedin logo
Sign up with Linkedin

or sign up with your email

By signing up, you agree to Kondado’s Terms of service and Privacy policy

From WordPress to BigQuery: managed, scheduled, no code.
Kondado automatically replicates WordPress tables and views to BigQuery on schedules ranging from every 5 minutes to daily, requiring no coding or manual intervention.

Send WordPress Data to BigQuery Automatically

Sending WordPress data to BigQuery requires a direct integration that extracts your CMS content and database tables without manual exports. Kondado provides a no-code data source that connects to your WordPress database and replicates selected information to Google’s serverless data warehouse on a configurable schedule. This eliminates the need for complex ETL scripts or manual CSV uploads, allowing marketing teams and developers to focus on analysis rather than data engineering.

Once your WordPress data lands in BigQuery, you can combine it with advertising platforms, CRM systems, and e-commerce data to build comprehensive analytics. This enables agencies to track content performance against business metrics, automate reporting for multiple client sites, and create custom dashboards that update automatically as new posts, comments, or user data flows into your data warehouse.

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

Available WordPress Pipelines for BigQuery

The Tables and Views pipeline automatically maps your entire WordPress database structure, including posts, pages, user metadata, comments, and plugin-generated tables, directly into BigQuery datasets. This comprehensive replication allows analysts to perform SQL queries across historical content revisions, analyze user engagement patterns by joining comment data with traffic sources, and build attribution models that connect blog post publication dates with conversion events from other marketing channels.

In BigQuery, you can transform this raw WordPress data into actionable insights by calculating content velocity metrics, identifying high-performing author segments, or creating automated content calendars based on historical publishing patterns. The replicated data supports complex joins with Google Analytics 4 exports stored in the same BigQuery project, enabling unified reporting that connects CMS activity with website behavior and revenue outcomes.

Try out all the features for free for 14 days

Replicated to BigQuery

Dynamic data

Kondado automatically reads the schema of your WordPress. All tables, views, and fields available in your account are extracted without manual configuration.

1
available pipeline
BigQuery
Destination

What Kondado extracts

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

Try out all the features for free for 14 days

How to send WordPress data to BigQuery

Sync data automatically — no code, no manual exports.

1
Connect WordPress Database

Enter your WordPress MySQL database credentials including host, port, username, and password in Kondado's WordPress data source configuration. The platform validates the connection and automatically discovers available tables and views in your database schema.

2
Configure BigQuery Destination

Set up your BigQuery project and dataset details, specifying the Google Cloud location where your WordPress data should reside. Kondado handles authentication through Google Cloud service accounts to establish write access to your specified datasets.

3
Select Tables and Schedule

Choose which WordPress tables and views to replicate and define your update frequency from 5-minute intervals to daily syncs. Activate the pipeline to begin automated replication of your CMS data to BigQuery on your specified schedule.

Try out all the features for free for 14 days

Hundreds of data-driven companies trust Kondado
arezzo
brf
Contabilizei
dpz
Experian
grupo_soma
inpress
multilaser
olist
unimed
v4_company
yooper

Send data from WordPress to other destinations

Choose a tool to visualize your WordPress data

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

Frequently Asked Questions (FAQ)

Answers about sending WordPress data to BigQuery automatically

How does Kondado connect to my WordPress database?
Kondado connects directly to your WordPress MySQL database using standard database credentials and connection parameters that you provide during setup. The platform reads from your database tables and views without requiring modifications to your WordPress installation or plugin configurations. This direct connection ensures that all custom post types, plugin tables, and theme-specific data structures are accessible for replication to BigQuery.
What WordPress data gets replicated to BigQuery?
The Tables and Views pipeline maps your entire database structure including posts, pages, comments, users, taxonomies, and any tables created by plugins like WooCommerce or custom fields. You can select specific tables to replicate or choose comprehensive database synchronization depending on your analytics requirements. This includes historical revisions, metadata, and relationship tables that power complex content analysis in your data warehouse.
How often does WordPress data update in BigQuery?
Kondado updates your WordPress data on a configurable schedule that you set according to your business needs, with options ranging from every 5 minutes to daily or weekly intervals. Near-real-time updates ensure that recent blog posts, comments, and user registrations appear in BigQuery shortly after they occur in WordPress. You can adjust these frequencies per pipeline to balance data freshness with processing efficiency.
Can I combine WordPress data with other marketing platforms in BigQuery?
Yes, once your WordPress data resides in BigQuery, you can join it with data from WordPress alongside sources like Google Ads, Facebook, Salesforce, or Shopify that you also replicate through Kondado. This enables cross-platform analysis such as attributing revenue to specific blog content or analyzing how email campaign clicks correlate with content engagement metrics stored in your CMS tables.
What format does WordPress data take in BigQuery?
WordPress data arrives in BigQuery as structured tables that mirror your MySQL database schema, with appropriate data type conversions for BigQuery's standard SQL environment. Each WordPress table becomes a separate BigQuery table within your specified dataset, maintaining relationships through primary and foreign keys that allow for complex querying across posts, authors, categories, and custom fields. The schema preserves WordPress data types while optimizing storage for BigQuery's columnar architecture.
Do I need coding skills to set up WordPress to BigQuery replication?
No coding is required to configure the WordPress data source or set up replication to BigQuery, as Kondado provides a visual interface for entering database connection details and selecting tables. The platform handles schema mapping, data type conversions, and automated scheduling without requiring SQL knowledge or ETL development. Technical users can customize advanced settings, but marketing teams and analysts can operate the system independently once the initial connection is established.
Can I send WordPress data to destinations other than BigQuery?
Yes, while BigQuery excels at large-scale analytics, you can also send WordPress data to Google Sheets for simple reporting, Power BI for Microsoft ecosystem integration, or PostgreSQL for relational database workflows. Kondado allows you to create multiple pipelines from the same WordPress source to different destinations, enabling teams to work with CMS data in their preferred analytics environment without additional extraction setup.

Try out all the features for free for 14 days

Try out all the features for free for 14 days