No-code pipeline · PostgreSQL → PostgreSQL

Send data from PostgreSQL to PostgreSQL

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From PostgreSQL to PostgreSQL: managed, scheduled, no code.

Kondado automatically replicates data from your source PostgreSQL database to your destination PostgreSQL instance on a configurable schedule, mapping all tables and views without requiring manual coding or maintenance.

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PostgreSQL to PostgreSQL Data Pipeline

To send PostgreSQL data to PostgreSQL, you need a direct integration that automates the replication process without manual exports or complex scripting. Kondado provides a no-code solution that connects your source PostgreSQL database to your destination PostgreSQL instance, allowing you to move data on a configurable schedule. Simply authenticate both databases, select the tables and views you want to replicate, and define how frequently the sync should run, whether every 5 minutes, hourly, or daily.

Once your PostgreSQL to PostgreSQL pipeline is active, you can consolidate data from multiple schemas or instances into a single analytical database. This setup enables you to run complex queries across unified datasets, build custom reports in Looker Studio or Power BI, and maintain an updated data warehouse without operational overhead or technical complexity.

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Available Data Pipelines

The Tabelas e Views pipeline automatically discovers and maps all available tables and views from your source database, ensuring comprehensive data replication to your destination PostgreSQL environment. By leveraging this pipeline, you can centralize transactional records, user analytics, and operational metrics into a dedicated analytical PostgreSQL instance. This consolidation enables you to power custom dashboards in Looker Studio, perform complex cross-database analysis, and maintain an updated data warehouse for business intelligence without writing complex ETL scripts or managing manual exports.

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Replicated to PostgreSQL

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

PostgreSQL

Destination

What Kondado extracts

Tabelas e Views

Kondado automatically maps all tables and views available in your database

See all available data → Send PostgreSQL to PostgreSQL →

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How to send PostgreSQL data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Your Source PostgreSQL

Enter your source database credentials in Kondado to establish a connection to your PostgreSQL instance. The platform automatically detects available tables and views for replication.

Configure Destination PostgreSQL

Set up your target PostgreSQL database by providing connection details and specifying the schema where replicated data should reside. You can customize table prefixes to organize data from multiple sources within the same destination.

Select Data and Schedule

Choose which tables and views to replicate through the Tabelas e Views pipeline and define your update frequency. You can configure automated syncs to run every 5 minutes, hourly, or daily depending on your data freshness requirements.

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Send data from PostgreSQL to other destinations

PostgreSQL > Looker Studio

PostgreSQL > Power BI

Other visualizations

PostgreSQL > Amazon S3

PostgreSQL > BigQuery

PostgreSQL > Excel

PostgreSQL > Google Sheets

PostgreSQL > MySQL

PostgreSQL > PostgreSQL

PostgreSQL > Redshift

PostgreSQL > SQL Server

Choose a tool to visualize your PostgreSQL data

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

PostgreSQL > Airtable

PostgreSQL > Alteryx

PostgreSQL > Amazon Quicksight

PostgreSQL > BIMachine

PostgreSQL > Cortex

PostgreSQL > Data Studio

PostgreSQL > Geckoboard

PostgreSQL > Grafana

PostgreSQL > IBM Cognos Analytics

PostgreSQL > Klipfolio

PostgreSQL > Looker Studio

PostgreSQL > Looker

PostgreSQL > Looqbox

PostgreSQL > Metabase

PostgreSQL > Microstrategy

PostgreSQL > Pentaho

PostgreSQL > Power BI

PostgreSQL > Qlik Cloud Analytics

PostgreSQL > Qlik Sense

PostgreSQL > Qlik

PostgreSQL > QlikView

PostgreSQL > Redash

PostgreSQL > Superset

PostgreSQL > Tableau

PostgreSQL > BI TOTVS

PostgreSQL > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending PostgreSQL data to PostgreSQL automatically

How does PostgreSQL to PostgreSQL replication work with Kondado? ▼

Kondado creates a direct connection between your source and destination databases, automatically detecting available tables and views for replication. The platform runs automated updates on your configured schedule, extracting data from the source and loading it into your target PostgreSQL instance without requiring manual exports or custom scripts.

What tables and views can I replicate from PostgreSQL to PostgreSQL? ▼

The Tabelas e Views pipeline automatically maps all tables and views available in your source database, allowing you to select specific datasets for replication. You can choose individual tables or entire schemas to centralize transactional data, user records, or application metrics in your destination PostgreSQL environment.

How often can I sync data between PostgreSQL databases? ▼

You can configure update frequencies ranging from every 5 minutes to daily intervals, depending on your business requirements and data freshness needs. This flexible scheduling ensures your analytical database stays current without overwhelming your source system with excessive queries.

Can I combine PostgreSQL data with other sources in my destination database? ▼

Yes, you can replicate data from PostgreSQL alongside other sources like MySQL, Excel, or Amazon S3 into the same destination PostgreSQL instance. This multi-source capability enables comprehensive cross-platform analysis and unified reporting across your entire data ecosystem.

What data types are preserved when replicating PostgreSQL to PostgreSQL? ▼

Kondado maintains your original schema structure and data types during replication, ensuring numeric, text, timestamp, and JSON fields arrive in your destination exactly as stored in the source. This preservation eliminates data transformation errors and maintains referential integrity for analytical queries.

Do I need to map schemas manually when sending PostgreSQL data to PostgreSQL? ▼

No, Kondado automatically handles schema detection and column mapping when you select tables through the Tabelas e Views pipeline. The platform maintains your table structures in the destination database, though you can customize destination schema names and table prefixes to organize your data warehouse effectively.

Can I send data from multiple PostgreSQL instances to one destination database? ▼

Yes, you can create multiple pipelines connecting different PostgreSQL sources to a single destination instance, consolidating data from production, staging, and legacy systems. This centralization supports unified analytics and reporting across distributed databases while maintaining separate source connections for data governance.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days