How do I start sending Webhook data to MySQL with Kondado?

First, configure your Webhook data source to send payloads to your unique Kondado endpoint. Then connect your MySQL database as the destination and select the Post raw JSON pipeline to begin automated replication on your chosen schedule.

What specific data fields does the Post raw JSON pipeline capture?

The pipeline creates records containing __kdd_request_id for unique identification, __kdd_request_unix_timestamp for temporal tracking, and __kdd_request_body storing the complete JSON payload. This structure ensures you retain both the original data and essential metadata for comprehensive event analysis.

Can I adjust how frequently Webhook data updates in MySQL?

Yes, Kondado offers flexible scheduling options ranging from every 5 minutes to daily intervals. You can configure the exact frequency based on your analytical needs and database performance requirements.

How can I analyze Webhook JSON data once it is in MySQL?

Use MySQL's JSON functions to parse and query specific fields within the __kdd_request_body column. This allows you to extract event properties, filter by specific criteria, and aggregate data for trend analysis without pre-processing.

Is it possible to combine Webhook events with data from other sources?

Absolutely, MySQL serves as a central repository where Webhook data can join information from PostgreSQL , BigQuery , or other pipelines. Create unified views that correlate user events with transactional records for complete business intelligence.

What reporting tools work with MySQL after replicating Webhook data?

Connect your MySQL database to visualization platforms like Power BI , Looker Studio , or Google Sheets to build custom reports. These tools can query your Webhook events alongside other business metrics for comprehensive dashboards.

Does the pipeline preserve the original Webhook payload format?

Yes, the __kdd_request_body field stores the exact JSON payload sent by your Webhook source without modification. This preserves data integrity and allows you to reprocess historical events if your analytical requirements change.

Send data from Webhook to MySQL

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Send Webhook Data to MySQL Automatically

Kondado enables automated replication of Webhook data to MySQL without writing complex code or managing infrastructure. Configure your Webhook data source to send JSON payloads directly to our platform, then authenticate your MySQL database and define your preferred sync frequency. This creates a reliable, automated data flow from your applications into your open-source database, ready for immediate querying and analysis.

Kondado automatically replicates Webhook payloads to MySQL on a configurable schedule, capturing raw JSON data with request IDs and timestamps for comprehensive event logging and analysis.

Once your pipeline is active, Webhook events flow into MySQL where you can query historical data, track user interactions, and build custom analytics dashboards. Combine this event data with information from other business sources to create comprehensive intelligence, then visualize results in Power BI, Looker Studio, or Google Sheets for stakeholder reporting.

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The Post raw JSON pipeline captures every Webhook request with essential fields including __kdd_request_id, __kdd_request_unix_timestamp, and __kdd_request_body. This structure preserves the complete JSON payload alongside metadata for precise event tracking, debugging, and temporal analysis. Use this data to monitor API interactions, analyze user behavior patterns, or maintain comprehensive audit trails of system events directly within your MySQL database. By querying the raw request bodies, you can extract specific event properties and join them with transactional data from other pipelines to build complete customer journey maps and operational dashboards that update automatically.

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Webhook data available for MySQL

available pipeline

extractable fields

Available integrations

Integration	Description
Post raw JSON	This table includes fields such as __kdd_request_id, __kdd_request_unix_timestamp, and __kdd_request_body, enabling the logging of requests and their data in JSON format.

Post raw JSON

This table includes fields such as __kdd_request_id, __kdd_request_unix_timestamp, and __kdd_request_body, enabling the logging of requests and their data in JSON format.

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How to send Webhook data to MySQL

Sync data automatically — no code, no manual exports.

Configure Webhook Data Source

Set up your Webhook data source in Kondado to generate a unique endpoint URL for receiving JSON payloads from your applications.

Connect MySQL Database

Enter your MySQL connection credentials to establish the destination where your Webhook data will be replicated and stored.

Select Pipeline and Schedule

Choose the Post raw JSON pipeline and define your update frequency, selecting from intervals like every 5 minutes, hourly, or daily based on your needs.

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