nao AI Data Editor

Overview

nao is an innovative AI data editor tailored for data teams who want to accelerate and simplify their workflow. Unlike traditional developer tools cluttered with extensions and disconnected AI, nao offers a unified Integrated Development Environment (IDE) designed specifically for data professionals. It connects directly to your data warehouse, understands your business context and data schema, and empowers you to run SQL queries, build pipelines, perform analyses, and verify data quality—faster and smarter.

The platform supports connections to a wide range of popular data warehouses including Postgres, Snowflake, BigQuery, Databricks, DuckDB, Motherduck, Athena, and Redshift, replacing the conventional warehouse console with embedded AI-powered capabilities. With nao, you get intelligent auto-completion tuned to your schema, real-time data previews, and cost-aware query management, making your data exploration and manipulation efficient and cost-effective.

Key Features

• Direct Warehouse Integration: Connect multiple warehouses in one IDE for seamless data access and management.
• AI-Powered Coding Assistant: An AI agent writes SQL and data pipeline code that strictly aligns with your data schema and business context.
• SQL Worksheets: Create, save, and organize your queries in a developer-friendly environment.
• Schema-Aware Auto-Complete: Accelerates query writing with precise suggestions based on your data structure.
• Data Quality Assurance: Automated data diffs, integrity tests, and validations to trust your data.
• Data Model Shipping: Convert raw warehouse tables into clean, production-ready models rapidly.
• Real-Time Analytics & Insights: Ask the AI agent to perform complex analyses and highlight trends instantly.
• Visualization Tools: Drag and drop data to create clear, beautiful charts for storytelling and decision making.
• dbt Integration: Fully integrated with dbt tools, including model previews, lineage views, and using docs as context.
• Security & Privacy: Local data connections prevent your data from leaving your infrastructure; SOC 2 Type II certified ensuring compliance and trust.

Use Cases

• Data Engineering Teams: Streamline building and maintaining data pipelines with AI-assisted code generation and validation.
• Data Analysts: Quickly explore datasets, generate SQL queries, and build reports with context-aware assistance.
• Business Intelligence: Connect multiple warehouses and perform cross-dataset analyses without switching tools.
• Data Quality Monitoring: Automate integrity checks and perform quick data diffs before deploying changes.
• Self-Service Analytics: Empower non-technical stakeholders to surface insights and create visualizations with AI help.

FAQ

Q: What data warehouses does nao support? A: nao supports Postgres, Snowflake, BigQuery, Databricks, DuckDB, Motherduck, Athena, and Redshift.

Q: How does nao ensure data security? A: Connections to your data warehouse happen locally on your computer. No data is sent externally unless explicitly allowed. nao is SOC 2 Type II certified.

Q: Can I integrate nao with dbt workflows? A: Yes, nao integrates with dbt to preview models, view lineage, and index documentation for better code completions.

Q: Does the AI agent train on my data? A: No. Your data is private and never used to train the AI. The AI agent works with your schema and context locally.

Q: Is nao suitable for non-technical users? A: While optimized for data teams, nao’s AI features simplify complex tasks, making it accessible for analysts and other data stakeholders.

Q: How can I get started? A: Download nao from getnao.io and connect to your data warehouse to begin working faster with AI-powered data workflows.