No-code pipeline · MySQL (& MariaDB) → PostgreSQL

Send data from MySQL (& MariaDB) to PostgreSQL

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From MySQL (& MariaDB) to PostgreSQL: managed, scheduled, no code.

Kondado offers a direct integration between MySQL (& MariaDB) and PostgreSQL, automatically accessing the Tables and Views pipeline to replicate your database data on schedules ranging from five minutes to daily intervals, with no coding required.

Connect MySQL (& MariaDB) now →

Send MySQL (& MariaDB) Data to PostgreSQL Automatically

Connecting your transactional database to your analytical warehouse should not require complex engineering work or manual CSV exports. With Kondado, you can replicate data from MySQL (& MariaDB) to PostgreSQL on a configurable schedule, eliminating tedious manual work and keeping your analysis environment synchronized with operational systems. Whether you need near-real-time updates every five minutes for operational reporting or consolidated daily snapshots for historical analysis, our platform automates the data movement so your team can focus on extracting insights rather than maintaining infrastructure.

Agencies and data teams use this connection to unify transactional records with other marketing or sales data sources in PostgreSQL, creating a centralized environment for complex SQL analysis and business intelligence. By automating the replication process, you ensure that your PostgreSQL warehouse always contains fresh data from your production MySQL or MariaDB systems without impacting source database performance.

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The Tables and Views pipeline captures all your database objects from MySQL and MariaDB, bringing your complete transactional dataset into PostgreSQL where you can perform complex joins and aggregations without querying your production database. Once your data lands in PostgreSQL, you can combine it with information from other sources like Google Sheets or BigQuery to build comprehensive reports that span across your entire business operations and marketing channels. Marketing agencies frequently use this replicated data to calculate customer lifetime value from transaction histories, while product teams analyze user behavior patterns by joining application events stored in MySQL with CRM data already present in their PostgreSQL warehouse for deeper operational insights.

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Replicated to PostgreSQL

Dynamic data

Kondado automatically reads the schema of your MySQL (& MariaDB). All tables, views, and fields available in your account are extracted without manual configuration.

available pipeline

PostgreSQL

Destination

What Kondado extracts

Tabelas e Views

Kondado automatically maps all tables and views available in your database

See all available data → Send MySQL (& MariaDB) to PostgreSQL →

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How to send MySQL (& MariaDB) data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect MySQL (& MariaDB)

Enter your database credentials to authenticate MySQL (& MariaDB) as your data source, allowing Kondado to access your Tables and Views pipeline. The platform establishes a direct connection to your database without requiring firewall changes or complex network configuration.

Configure PostgreSQL

Add your PostgreSQL destination details to establish where your MySQL data should land, including host, port, and authentication credentials. This setup creates the target environment ready to receive your replicated database objects.

Select data and schedule

Choose the Tables and Views pipeline and select which specific database objects to replicate, then set your update frequency from five minutes to daily intervals. Once configured, Kondado automatically maintains your PostgreSQL warehouse with fresh data from MySQL without manual intervention.

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Send data from MySQL (& MariaDB) to other destinations

MySQL (& MariaDB) > Looker Studio

MySQL (& MariaDB) > Power BI

Other visualizations

MySQL (& MariaDB) > Amazon S3

MySQL (& MariaDB) > BigQuery

MySQL (& MariaDB) > Excel

MySQL (& MariaDB) > Google Sheets

MySQL (& MariaDB) > MySQL

MySQL (& MariaDB) > PostgreSQL

MySQL (& MariaDB) > Redshift

MySQL (& MariaDB) > SQL Server

Choose a tool to visualize your MySQL (& MariaDB) data

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

MySQL (& MariaDB) > Airtable

MySQL (& MariaDB) > Alteryx

MySQL (& MariaDB) > Amazon Quicksight

MySQL (& MariaDB) > BIMachine

MySQL (& MariaDB) > Cortex

MySQL (& MariaDB) > Data Studio

MySQL (& MariaDB) > Geckoboard

MySQL (& MariaDB) > Grafana

MySQL (& MariaDB) > IBM Cognos Analytics

MySQL (& MariaDB) > Klipfolio

MySQL (& MariaDB) > Looker Studio

MySQL (& MariaDB) > Looker

MySQL (& MariaDB) > Looqbox

MySQL (& MariaDB) > Metabase

MySQL (& MariaDB) > Microstrategy

MySQL (& MariaDB) > Pentaho

MySQL (& MariaDB) > Power BI

MySQL (& MariaDB) > Qlik Cloud Analytics

MySQL (& MariaDB) > Qlik Sense

MySQL (& MariaDB) > Qlik

MySQL (& MariaDB) > QlikView

MySQL (& MariaDB) > Redash

MySQL (& MariaDB) > Superset

MySQL (& MariaDB) > Tableau

MySQL (& MariaDB) > BI TOTVS

MySQL (& MariaDB) > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending MySQL (& MariaDB) data to PostgreSQL automatically

How do I replicate MySQL data to PostgreSQL without writing code? ▼

Kondado provides a no-code interface where you authenticate your MySQL (& MariaDB) database and PostgreSQL destination to establish a connection. You then select the Tables and Views pipeline and configure your update schedule, allowing automated data movement without SQL scripts or API development.

What specific data from MySQL gets replicated to PostgreSQL? ▼

The Tables and Views pipeline accesses all standard database objects available in your MySQL or MariaDB instance, including your transactional records, user information, and application logs. This comprehensive access ensures your PostgreSQL warehouse contains the complete dataset needed for analytical queries and business intelligence.

How frequently can I update data when replicating from MySQL to PostgreSQL? ▼

Kondado supports configurable schedules ranging from every five minutes for near-real-time operational reporting to hourly, daily, or custom intervals for batch processing. You can adjust these frequencies based on your business needs without disrupting existing database operations.

Can I combine MySQL data with other marketing platforms in PostgreSQL? ▼

Yes, once your MySQL data resides in PostgreSQL, you can join it with datasets from Google Sheets, BigQuery, or Power BI to create unified reports. This capability allows agencies to correlate transactional behavior with campaign performance across multiple channels.

What format does MySQL data take after replication to PostgreSQL? ▼

Data maintains its relational structure when landing in PostgreSQL, with columns preserving their data types and table relationships intact for immediate SQL querying. This structural consistency allows you to run complex analytical queries using familiar PostgreSQL syntax without data transformation overhead.

Can I select specific database objects from MySQL to replicate to PostgreSQL? ▼

Through the Tables and Views pipeline, you choose which specific database objects to include in your replication, allowing you to exclude temporary storage or sensitive operational logs. This selective approach helps you maintain a focused data warehouse containing only the information relevant to your analysis.

How do I build reports from MySQL data once it reaches PostgreSQL? ▼

With your data in PostgreSQL, you can connect business intelligence tools like Looker Studio or Power BI directly to your warehouse to visualize trends and create dashboards. The automated replication ensures these reports always reflect current transactional activity from your MySQL systems.

Try out all the features for free for 14 days

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