Summary: Draxlr is a no-code analytics tool that connects to a Lakebase Postgres database and lets you build dashboards and reports using a visual query builder, raw SQL, or an AI chat interface that translates natural-language questions into Postgres queries. Use this guide when you need product analytics, real-time metric monitoring with email or Slack alerts, or embeddable customer-facing dashboards on top of Neon without writing application code. Connection uses a Neon connection string or manual host, port, database, username, and password values from the Neon Console.

Create live Neon dashboards and reports directly from your Postgres data

Draxlr is a no code analytics tool for Lakebase Postgres that lets you build dashboards, reports, and insights using SQL, visual queries, or AI. It is commonly used for product analytics, reporting, and embedded dashboards.

This guide shows how to connect Draxlr to a Lakebase Postgres database.

• A Draxlr account. See Sign up for Draxlr.
• A Neon project with a Postgres database. See Create a Neon project.

1. Get your Neon connection string In the Neon Console, open your project and copy the Postgres connection string. It will look similar to the following:

   postgresql://alex:AbC123dEf@ep-cool-darkness-123456.us-east-2.aws.neon.tech/dbname?sslmode=require

2. Open Draxlr and add a new data source

   • Log in to Draxlr.
   • Click on Connect Database.

3. Select Neon as the database type

4. Paste the Neon connection details

   • Click on Import from URL and paste the Neon connection string into the connection URL field, or
   • Enter the Host, Port, Database name, Username, and Password manually using values from the Neon Console.
   

5. Save the connection

   • Click Next and if the connection is successful, choose your desired schemas. Your database is now connected to Draxlr.

Once connected, Draxlr works as a Neon analytics tool that lets you analyze data in multiple ways.

• Visual Query Builder for Neon Analytics: Build queries using a point-and-click interface. Select tables, define joins, apply filters, and create aggregations without writing SQL.
• Raw SQL for Neon Reporting and Analysis: Switch to raw query mode to write SQL directly. This is ideal for advanced queries, performance tuning, or when you want full control over your Postgres queries.

You can freely move between visual queries and SQL, making it easy to start visually and refine queries as needed.

Draxlr also includes an AI-powered chat interface that lets you ask questions about your Lakebase Postgres data in natural language.

For example, you can ask:

• "What were the top 5 customers by revenue last month?"
• "Show me daily signups for the past 30 days."
• "Compare average order value by region."

Draxlr translates these questions into database queries, runs them on your database, and returns results as tables or visualizations - no SQL required.

With Draxlr and Neon, you can go beyond one-off queries and build reliable Neon analytics workflows.

You can:

1. Monitor key metrics from your database in real time and receive automated alerts via email or Slack when values changes.
2. Create live Neon dashboards and embed them into customer facing applications for interactive analytics.

Together, Draxlr and Neon provide a simple way to analyze, monitor, and visualize your data.

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