Send PostgreSQL data to AI, reports, spreadsheets and ETL

Kondado connects to PostgreSQL through a direct integration using dynamic mapping and your database credentials. You provide the Host/Address, Port, Database name, Username, Password, and Schema to establish the connection, which requires IP whitelisting on your database server. Once connected, you dynamically select which tables, views, or materialized views to replicate, with support for incremental sync via datetime or timestamp columns to keep your destination current on a configurable schedule.

Data engineers benefit from automated pipeline management without writing manual extraction scripts, while business analysts gain immediate access to fresh customer transaction histories and operational metrics for cohort analysis and churn prediction. Marketing teams can leverage user behavior data stored in PostgreSQL to optimize campaign targeting and calculate precise customer lifetime value, while finance professionals build consolidated revenue recognition reports that refresh automatically. These pipelines empower every role from product managers tracking feature adoption to operations teams monitoring inventory turnover, enabling truly data-driven decision making across your organization.

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

Once you configure your connection details below, your PostgreSQL data begins flowing to your chosen destination immediately. With your PostgreSQL data available in Power BI, Looker Studio, or BigQuery, you can build executive dashboards tracking current revenue recognition, operational efficiency scorecards monitoring database-driven KPIs like customer acquisition cost and monthly recurring revenue, and detailed funnel analyses showing conversion rates across different user segments. Finance teams can create automated profit and loss statements pulling directly from transactional records, while product teams visualize feature usage trends and retention cohorts that inform roadmap priorities.

When you combine PostgreSQL transactional data with other sources in Kondado, such as marketing platforms or CRM systems, you unlock cross-platform insights like attribution modeling that connects ad spend to actual purchase events stored in your database, or unified customer profiles that merge support tickets with purchase histories. Automated updates on your configured schedule ensure these critical analyses remain current without manual refreshing, keeping your reports accurate whether you need hourly operational metrics or daily executive summaries.