DB Pilot

What if your database client could write SQL for you?

RecommendedDB Pilot is a promising desktop database client that integrates AI and interactive notebooks to enhance productivity for SQL users on Mac.

DB Pilot is a desktop database client that combines SQL, Python, and AI assistance to help users explore, edit, and analyze data. It supports various databases like PostgreSQL, MySQL, and SQLite, offering features like AI-driven query generation, interactive notebooks, and data export.

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Key Features:

AI Assistant for SQL generation, explanation, and debugging (GPT-4o, GPT-4o mini powered).
Interactive Notebooks combining SQL, Python, inputs, tables, and charts.
Data exploration with filtering, sorting, and navigation.
In-app data editing (insert, update, delete) with commit/discard options.
Export data to CSV, JSON, NDJSON, and Markdown table formats.

Pros

Data analysts needing AI to quickly generate and debug SQL queries.
Developers working with multiple SQL databases who want an integrated environment for data exploration and editing.
Data scientists looking to combine SQL, Python, and interactive visualizations for iterative data analysis.

Cons

Currently only supports Mac, with Linux and Windows coming soon.
AI features require providing your own API keys for providers like OpenAI for the one-time purchase plan.
The free tier has limited AI messages (20) before requiring an upgrade or personal API key.

Pricing

freemiumFree tier

Starting at:$79

Free tier:Browse and query local databases, use SQL editor and table explorer, test AI features a limited number of times (20 messages).

Plans

Free: Limited AI features, local database browsing.
One-time Purchase ($79): Unlock all AI features (with own API keys), 1 year of updates, premium features, priority support.

Trial:AI assistant trial with own OpenAI key (20 messages)

Categories:

Data & Analytics Code & Development Productivity & Workflow

Tags:

SQL client database management AI assistant notebooks data exploration PostgreSQL MySQL SQLite DuckDB CockroachDB

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Quick Decision

Try if: You should try DB Pilot if you are a Mac user working with SQL databases and want to leverage AI to streamline your query writing, data exploration, and analysis workflows, especially if you appreciate interactive notebooks.

Skip if: Skip DB Pilot if you primarily use cloud-based database tools, require support for operating systems other than Mac immediately, or need extensive NoSQL database support.

Not for: Users who prefer cloud-based database management tools.; Individuals who do not work with SQL databases or require advanced NoSQL support.

Trust Signals

Founded
2026
Team Size
small

Tech Details

Platforms

Mac

AI Model
GPT-4o, GPT-4o mini

Open Source

Support

Channels

emailgithub

Company

Name
Maravista Software LLC

FAQ

How does DB Pilot AI help me?

DB Pilot AI helps you write SQL queries from English instructions, explain queries, debug errors with 'Fix with AI', and convert between code and SQL, saving time. It offers inline AI and @-mentions for assistance within your workflow.

Can I try the AI assistant before I buy?

Yes, you can try the AI assistant for 20 messages for free by providing your own API keys for AI providers like OpenAI, Anthropic, or Google AI. After the trial, a paid plan is required.

Which databases are supported by DB Pilot?

DB Pilot supports PostgreSQL, CockroachDB, MySQL, SQLite, chDB (local ClickHouse), and DuckDB databases, with continuous additions planned.

How is my data used and stored by DB Pilot?

All app data and connection credentials are stored locally on your computer, with sensitive information secured in your device's keychain. Database connectivity is direct between your computer and the server, and DB Pilot does not store any of your database data on its servers. The AI assistant does not read your data, only table and column schemas.

Use Cases

Data analysts needing AI to quickly generate and debug SQL queries.
Developers working with multiple SQL databases who want an integrated environment for data exploration and editing.
Data scientists looking to combine SQL, Python, and interactive visualizations for iterative data analysis.