How does Kondado connect to my WordPress database for S3 replication?

Kondado connects directly to your WordPress MySQL database using your provided credentials and connection parameters. The platform reads from your database tables and views, then automatically writes the replicated data to your specified Amazon S3 bucket on your chosen schedule.

What WordPress database tables can I replicate to Amazon S3?

You can replicate any table or view available in your WordPress MySQL database, including core tables like wp_posts and wp_users as well as tables created by plugins such as WooCommerce or membership tools. The Tables and Views pipeline automatically maps all available database objects, giving you complete flexibility to select which content management data to store in S3.

How often does WordPress data update in my S3 bucket?

Kondado updates your Amazon S3 data on a configurable schedule that you control, with options ranging from every 5 minutes to daily intervals. You select the frequency during pipeline setup based on your analysis needs and data freshness requirements.

What file format does WordPress data arrive in when stored in Amazon S3?

WordPress data arrives in Amazon S3 as structured files that maintain your original database schema, typically in formats compatible with AWS analytics services. These files can be queried directly through Amazon Athena or loaded into BigQuery and PostgreSQL for further analysis.

Can I combine WordPress data from S3 with other marketing platforms?

Yes, once your WordPress data resides in Amazon S3, you can federate it with data from other sources using AWS analytics tools or by sending S3 data to Power BI , Looker Studio , or Google Sheets . This enables comprehensive reporting that combines your CMS metrics with advertising, CRM, and e-commerce data.

Do I need to create custom views in WordPress before sending to S3?

No, Kondado automatically discovers all existing tables and views in your WordPress database through the Tables and Views pipeline. However, if you have specific reporting needs, creating custom database views in MySQL can help organize complex joins before replication to S3.

How do I query WordPress data once it is stored in Amazon S3?

You can query your replicated WordPress data using Amazon Athena for serverless SQL analysis, or connect S3 to visualization tools like Power BI and Looker Studio . Technical teams may also use Presto or Dremio to create virtualized query layers across multiple S3 datasets.

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WordPress to Amazon S3 Data Replication Pipeline

Kondado provides a direct connection between WordPress and Amazon S3, allowing you to replicate your CMS data automatically on a configurable schedule. Simply connect your WordPress database as a data source, configure your Amazon S3 bucket as the destination, and select which tables and views you want to replicate. The platform handles the automated extraction and loading process, ensuring your content management data arrives in S3 ready for analysis without manual intervention.

Kondado automatically replicates WordPress tables and views to Amazon S3 on a configurable schedule ranging from every 5 minutes to daily, enabling automated data workflows for content analysis and storage optimization.

Once your WordPress data lands in Amazon S3, you can leverage AWS analytics services like Athena, Presto, or Dremio to query content performance metrics, user engagement patterns, and site architecture data. This setup supports advanced data virtualization layers and enables you to build custom reports in Power BI, Looker Studio, or BigQuery by combining WordPress insights with other business data sources.

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The Tables and Views pipeline automatically discovers and replicates all database objects from your WordPress instance, including core content tables, user management data, and plugin-generated tables. This pipeline captures everything from post metadata and comment threads to e-commerce transaction records and membership data, storing structured files in your Amazon S3 bucket.

With your WordPress data available in S3, you can run SQL queries directly through AWS Athena to analyze content performance trends, or federate this data with other sources in BigQuery and PostgreSQL environments. Agency teams can build automated client reporting workflows, while technical users leverage Presto and Dremio to create virtualized data layers that combine CMS insights with CRM and analytics data for comprehensive business intelligence.

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Dynamic data

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

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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 send WordPress data to Amazon S3

Sync data automatically — no code, no manual exports.

Connect Your WordPress Database

Provide your WordPress MySQL database credentials to Kondado to establish a direct connection to your WordPress data source. The platform automatically detects available tables and views for replication.

Configure Your Amazon S3 Bucket

Enter your AWS S3 bucket name and authentication credentials to establish the destination connection. Kondado validates access permissions and prepares the storage structure for incoming WordPress data.

Set Schedule and Activate

Select specific WordPress tables and views to replicate, configure your update frequency, and activate the pipeline. Your data will begin replicating to Amazon S3 automatically, ready for analysis in BigQuery or connection to Power BI and Looker Studio.

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