Nao is an AI-powered data IDE built for analysts, engineers, and scientists working with modern data systems. It connects directly to data warehouses, understands schemas and business context, and helps users write SQL, Python, and dbt workflows. Its AI agent can create pipelines, perform analytics, generate...
AI-powered IDE supports SQL, Python, and dbt data workflows.
Direct warehouse connections provide context from your actual data schema.
AI agent generates code, pipelines, analytics, and quality checks.
AI auto-complete uses connected schema information for relevant suggestions.
dbt integration provides model previews and data lineage visibility.
Data quality checks help identify issues before deployment and analysis.
Data diffs make changes easier to review and validate confidently.
Secure local connections help protect data with SOC 2 certification.
Who Is Nao Designed For?
Nao is designed for analysts, engineers, and scientists working with data, particularly teams that need to develop SQL, Python, or dbt workflows and manage data projects.
Does Nao Offer A Free Version?
Yes. Nao offers a Free STARTER plan that includes a 15-day Pro trial, unlimited data connections, unlimited AI auto-complete, and up to five agent requests daily.
How Do Nao Agent Usage Limits Work?
The Free STARTER plan provides up to five AI agent requests per day, while the Pro plan offers unlimited agent requests for more frequent AI-assisted data development.
Which Data Warehouses Does Nao Support?
Nao supports several data systems, including Postgres, Snowflake, BigQuery, Databricks, DuckDB, MotherDuck, Athena, and Redshift for direct data development and analysis.
How Does Nao Protect My Data?
Nao states that data connections remain local between your computer and warehouse. Data is not sent to Nao, and information is not sent to an LLM unless explicitly allowed.
Does Nao Support Data Quality Checks?
Yes. Nao provides data quality checks and data diffs to help users identify issues, review changes, and maintain confidence in data workflows before deployment.
Can Nao Help With Data Visualization?
Yes. Users can provide data to the AI agent for analysis and chart creation, helping transform warehouse information into useful visualizations and insights.
Can Nao Support Multiple Team Members?
Yes. Pro users can invite team members, while Enterprise provides an enterprise workspace and centralized billing for larger data teams and organizations.
Write and deploy SQL, Python, and dbt workflows efficiently within one environment.
Build reliable data models and pipelines using AI-assisted development workflows.
Run complex analyses and generate useful insights from connected warehouse data.
Explore datasets quickly and identify relevant information for business questions.
Test data changes and detect potential problems using quality checks and diffs.
Work together on shared data projects without repeatedly switching between development tools.
Generate charts and visualizations directly from analyzed warehouse data for clearer insights.
Use AI assistance to accelerate modern data development while maintaining context and trust.
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