How does Kondado replicate PostgreSQL data to MySQL?

Kondado connects directly to your PostgreSQL database and extracts data through the available pipelines. The platform then loads this information into your MySQL destination while preserving your schema structure and data relationships. You maintain full control over which pipelines are active and how frequently they execute updates.

What PostgreSQL objects can I replicate to MySQL?

The Tabelas e Views pipeline automatically discovers and makes available all standard database objects in your PostgreSQL instance. You can select specific objects or choose comprehensive replication across your entire schema. This flexibility allows you to move exactly the datasets your analytics require without unnecessary data transfer.

How often can I schedule PostgreSQL to MySQL updates?

Kondado offers configurable scheduling options ranging from every five minutes to daily intervals, allowing you to balance data freshness with system resources. Near-real-time updates support operational dashboards, while hourly or daily schedules work well for analytical reporting. You can adjust these frequencies anytime based on your evolving business needs.

What data types are supported when replicating PostgreSQL to MySQL?

Kondado handles standard PostgreSQL data types including integers, strings, timestamps, JSON fields, and decimal values, mapping them appropriately to MySQL-compatible formats. Complex nested structures and arrays are flattened or converted to ensure compatibility with MySQL's relational structure. This automatic type conversion eliminates manual schema adjustments during setup.

Can I combine PostgreSQL data with other sources in MySQL?

Yes, Kondado enables you to consolidate data from multiple sources into a single MySQL destination alongside your PostgreSQL pipelines. You can replicate information from PostgreSQL alongside data from CRM systems, marketing platforms, or accounting software into the same MySQL instance. This multi-source approach builds comprehensive data warehouses that support unified reporting across your entire business ecosystem.

Does Kondado support incremental updates from PostgreSQL to MySQL?

Yes, Kondado identifies new and modified records during each scheduled run to minimize data transfer volumes and processing time. The platform tracks changes efficiently, ensuring your MySQL destination receives only the latest updates rather than full dataset refreshes. This incremental approach keeps your analytics current while optimizing resource utilization.

Send data from PostgreSQL to MySQL

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Replicate PostgreSQL Data to MySQL Automatically

Sending data from PostgreSQL to MySQL helps teams consolidate analytics and reporting in a cost-effective database environment. Kondado provides a direct integration that moves your relational data without manual exports or complex scripting. You configure the schedule once, and your MySQL database stays current with automated updates from your PostgreSQL data source. This connection enables analysts to query combined datasets using familiar SQL syntax while reducing infrastructure costs compared to maintaining multiple analytical databases. Whether you need near-real-time operational reporting or daily batch updates, the flexible timing options adapt to your business requirements.

Kondado automatically replicates data through the Tabelas e Views pipeline from your PostgreSQL database to MySQL on a configurable schedule, eliminating manual data transfers and keeping your analytics infrastructure synchronized.

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Available Pipelines

The Tabelas e Views pipeline captures every table and view from your PostgreSQL schema, making complete datasets available in MySQL for custom analysis. Once your data lands in MySQL, you can build performance dashboards tracking customer behavior, run financial aggregations across historical records, or create operational reports that combine PostgreSQL transactional data with other business metrics. This pipeline ensures your analytical queries run against a dedicated MySQL instance rather than production PostgreSQL servers, improving query performance while keeping source systems responsive.

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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

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 PostgreSQL data to MySQL

Sync data automatically — no code, no manual exports.

Connect PostgreSQL to Kondado

Authenticate your PostgreSQL data source by providing connection details such as host, port, and database credentials in the Kondado interface. The platform validates your access and automatically maps available pipelines for selection.

Configure MySQL Destination

Enter your MySQL connection parameters including server address, database name, and authentication credentials to establish the target location for your replicated data. Kondado verifies the connection to ensure your PostgreSQL data flows smoothly into the correct MySQL schema.

Select Data and Schedule Updates

Activate the Tabelas e Views pipeline and choose specific data objects to replicate, then configure your preferred update frequency from five-minute intervals to daily batches. Once activated, Kondado maintains your MySQL destination with automated refreshes based on your selected timeline.

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