No-code pipeline · FTP → PostgreSQL

Send data from FTP to PostgreSQL

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

Creating a pipeline that sends data from FTP to PostgreSQL databases takes only a few minutes with Kondado. And the whole integration from FTP to PostgreSQL is managed and executed by our platform. With Kondado, you can focus on extracting value from FTP data and combining it with other data in your PostgreSQL database

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Send FTP Data to PostgreSQL Automatically

How to send FTP data to PostgreSQL? Kondado provides a direct integration that automatically replicates your FTP files to PostgreSQL on a configurable schedule, eliminating manual file transfers and complex ETL scripts. Simply connect your FTP server as a data source, select your destination database, and choose which files to replicate. The platform handles the data transformation and loading without requiring any coding or manual file downloads, ensuring your PostgreSQL database always contains the latest file contents for immediate analysis and reporting.

Once your FTP data lands in PostgreSQL, you can combine it with information from other sources to build comprehensive reports in Looker Studio, Power BI, or Google Sheets. This enables you to create unified dashboards that blend file-based data with database records, giving you complete visibility into your operations without switching between systems.

Kondado replicates FTP CSV files to PostgreSQL automatically on a configurable schedule, parsing file contents with fields including row_number, column_number, and __file_basename to enable analysis of variable column structures.

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The CSV pipeline captures every row and column from your FTP files, including metadata fields like row_number and __file_basename that help you track data lineage and file origins. This structure is particularly valuable when analyzing files with varying column counts or when you need to union multiple CSV files with different schemas into a single PostgreSQL dataset for consolidated reporting.

In PostgreSQL, you can query these standardized structures to identify trends across uploaded files, filter specific rows by their source filename, or join FTP data with transactional records from MySQL or Amazon S3. This flexibility allows analysts to treat file storage as a structured data source, enabling complex SQL analysis on previously inaccessible flat files without manual preprocessing.

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Replicated to PostgreSQL

FTP data available for PostgreSQL

Tables Kondado writes into your PostgreSQL, on a schedule you control.

available pipeline

extractable fields

PostgreSQL

Destination

Available integrations

CSV

Table includes fields such as row_number, column_number, and __file_basename, enabling analysis of data from files with varying columns.

See all available data → Send FTP to PostgreSQL →

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How to send FTP data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Your FTP Server

Enter your FTP credentials in Kondado to establish the data source connection, then browse your directory structure to identify which folders contain the files you want to replicate to PostgreSQL.

Configure PostgreSQL Destination

Provide your PostgreSQL connection details including host, database name, and credentials so Kondado can automatically create the necessary datasets and load your FTP data on the configured schedule.

Select Pipelines and Schedule

Select the CSV pipeline and specify whether to update every 5 minutes, hourly, or daily, then map your FTP files to specific datasets in PostgreSQL to begin automated replication.

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Send data from FTP to other destinations

FTP > Looker Studio

FTP > Power BI

Other visualizations

FTP > Amazon S3

FTP > BigQuery

FTP > Excel

FTP > Google Sheets

FTP > MySQL

FTP > PostgreSQL

FTP > Redshift

FTP > SQL Server

Choose a tool to visualize your FTP data

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

FTP > Airtable

FTP > Alteryx

FTP > Amazon Quicksight

FTP > BIMachine

FTP > Cortex

FTP > Data Studio

FTP > Geckoboard

FTP > Grafana

FTP > IBM Cognos Analytics

FTP > Klipfolio

FTP > Looker Studio

FTP > Looker

FTP > Looqbox

FTP > Metabase

FTP > Microstrategy

FTP > Pentaho

FTP > Power BI

FTP > Qlik Cloud Analytics

FTP > Qlik Sense

FTP > Qlik

FTP > QlikView

FTP > Redash

FTP > Superset

FTP > Tableau

FTP > BI TOTVS

FTP > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending FTP data to PostgreSQL automatically

How does Kondado handle FTP to PostgreSQL replication? ▼

Kondado connects to your FTP server as a data source and automatically parses CSV files, loading them into your PostgreSQL database on a schedule you configure. The system extracts row-level data along with metadata fields like __file_basename to maintain source tracking. You can also send the same FTP data to BigQuery or Google Sheets simultaneously.

What specific data fields are available when replicating FTP CSV files to PostgreSQL? ▼

The CSV pipeline includes eight fields such as row_number, column_number, and __file_basename alongside your file contents. These fields enable you to identify which file each record came from and its exact position within the dataset. This structure supports complex SQL queries that filter by filename or analyze row sequences across multiple uploads.

How often can I update FTP data in my PostgreSQL database? ▼

You can configure replication to run every 5 minutes, 15 minutes, hourly, or daily depending on your business requirements. This near-real-time synchronization ensures your PostgreSQL datasets reflect the latest file uploads without manual intervention. The automated schedule keeps your Power BI reports and Looker Studio dashboards current.

Can I combine FTP data with other sources in PostgreSQL? ▼

Yes, once your FTP files are in PostgreSQL, you can join them with data from MySQL, Amazon S3, or other connected sources using standard SQL. This enables unified analysis across your entire data ecosystem. Create comprehensive datasets that blend file storage information with application databases for complete business intelligence.

What happens when I upload new files to my FTP server? ▼

Kondado detects new files during each scheduled run and automatically replicates them to PostgreSQL according to your configured pipeline settings. The system processes both new uploads and changes to existing files based on your update preferences. This ensures your database stays synchronized with your FTP storage without requiring manual file management.

How are varying CSV column structures handled in PostgreSQL? ▼

The CSV pipeline normalizes files with different column counts into a consistent structure using row_number and column_number fields. This allows you to store and query CSV files with varying schemas within the same PostgreSQL dataset. Analysts can use SQL to pivot or filter this normalized data into standard row-column formats for reporting.

Can I send FTP data to destinations other than PostgreSQL? ▼

Yes, Kondado supports multiple destinations including BigQuery, Google Sheets, Power BI, and Looker Studio alongside PostgreSQL. You can configure parallel pipelines to send the same FTP data to different tools simultaneously. This flexibility lets you analyze files in spreadsheets while maintaining a historical record in PostgreSQL.

Try out all the features for free for 14 days

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