Send PostgreSQL data to AI, reports, spreadsheets and ETL

Kondado connects to PostgreSQL using your Host/Address, Port, Database name, Username, Password, and Schema, with IP whitelisting on the database server. Because PostgreSQL has no fixed schema, you choose exactly which tables, views, and materialized views to replicate, with your own names and columns, and Kondado keeps the same structure of your data. Incremental sync uses datetime or timestamp columns to keep your selected data current on a configurable schedule.

Data analysts, finance teams, operations managers, and product leaders use PostgreSQL data to build revenue trend analyses, customer cohort analyses, inventory turnover views, and churn breakdowns. They can use that data in Power BI or Looker Studio dashboards fed straight by Via Kondado, with no database of their own needed. They can also ask questions in natural language in Claude or ChatGPT through Kondado’s MCP server, getting answers about their own PostgreSQL data without writing SQL.

The Kondado platform takes care of refreshing PostgreSQL data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing PostgreSQL data with AI (Claude, ChatGPT and MCP) or in your report, spreadsheet, data warehouse, data lake, or database

Turning PostgreSQL data into answers and dashboards starts with bringing the right records into Kondado. Once your PostgreSQL data reaches Power BI or Looker Studio through Via Kondado, with no database needed, you can track monthly recurring revenue, average order value, customer acquisition cost, inventory turnover, and support ticket resolution time. You might ask in Claude or ChatGPT: Which customer segments drove the highest revenue last quarter, or how did conversion rates change by product category? These questions and KPIs become straightforward when your PostgreSQL data is available in one place. You can also combine PostgreSQL data with sources like Google Sheets, BigQuery, or MySQL in Kondado to compare operational metrics with marketing spend or financial forecasts. Scheduled updates keep these analyses current, so your dashboards and AI answers reflect the latest data from your PostgreSQL database.