Tool Information
DB Pilot is a modern database GUI enhanced by AI, offering a range of features to simplify and streamline SQL operations. With the help of an AI assistant powered by GPT-3.5, users can write SQL queries using natural language, convert between code and SQL, and explain complex queries. The tool also includes an embedded DuckDB instance acting as a local hub, making it easy to query different file formats such as CSV, JSON, and Parquet files and store query results without polluting the production database. DB Pilot supports PostgreSQL databases and plans to support MySQL and SQLite soon. Users can filter tables easily, join different data formats, save query results in different file formats such as CSV, JSON, and Parquet files, and query remote files. Pricing is straightforward, with a one-time purchase of a lifetime license that includes one year of access to the AI assistant and app updates. DB Pilot's roadmap includes future features such as spreadsheet-like editors, smart code completion that knows about your database schema, and additional database support. The tool is available for free download, and users can avail of a five-day free trial before purchasing a license. DB Pilot's AI assistant does not have access to any actual data stored in the user's database, thereby ensuring privacy.
F.A.Q (18)
DB Pilot is a modern database GUI enhanced by AI. It offers features to simplify and streamline SQL operations, enabling users to write SQL queries using natural language and achieve other SQL functionalities with the help of an AI assistant powered by GPT-3.5. It supports PostgreSQL databases and also includes an embedded DuckDB instance to store query results without affecting the production database. The tool allows querying on different file formats such as CSV, JSON, and Parquet files.
The AI assistant in DB Pilot operates based on GPT-3.5. It aids users in writing SQL queries using natural language, explaining complex queries, and converting between code and SQL. It figures out which tables to use, determines how to join them, and selects which columns to display—all based on the user's instructions provided in English.
Yes, DB Pilot can convert between code and SQL and vice versa. This feature allows users to easily translate SQL commands to code for various ORM libraries. This eliminates the need for manual translation between the two.
DB Pilot ensures privacy with its AI assistance by not allowing the AI assistant to access any actual data stored in the user's database. The assistant is aware of which tables and columns exist within the database in order to better assist the user, but it cannot access the actual data within those tables and columns.
As of now, DB Pilot supports PostgreSQL databases.
Yes, DB Pilot has plans to expand its support to include MySQL and SQLite databases.
DB Pilot is equipped to query different file formats such as CSV, JSON, and Parquet files.
DB Pilot operates on a straightforward pricing model. Users can make a one-time purchase for a lifetime license which includes one year of access to the AI assistant and app updates. After the first year, access to the AI assistant and app updates can be renewed at a cost of $49 per year.
The DB Pilot lifetime license includes a modern GUI database client enhanced by AI, support for PostgreSQL, and promises support for MySQL and SQLite soon. The lifetime license for the app also includes one year of access to the DB Pilot's AI assistant and app updates.
Yes, DB Pilot can store query results locally. It uses an embedded DuckDB database instance as a local hub to connect data and store query results from any database locally for future reference. This allows for the storage of query results without polluting the production database.
The future features on DB Pilot's roadmap include the addition of a spreadsheet-like editor, smart code completion that recognizes your database schema, expansion of database support to include additional databases, and a query and chat history feature that allows users to refer back to SQL queries they've run and chats they've had with their AI assistant.
Yes, users can filter tables easily in DB Pilot as if using a spreadsheet.
Yes, DB Pilot allows saving of query results in different file formats such as CSV, JSON, and Parquet files.
Yes. DB Pilot allows users to query remote files by specifying an HTTP URL or a S3-compatible path to data in a supported format. Users can query it instantly without needing to manually download it.
Smart code completion' in DB Pilot refers to a planned feature in which the system will provide context-aware autocomplete suggestions that understand your particular database schema. This ai-guided feature will facilitate a more fluid user experience while working with databases in DB Pilot.
Yes, DB Pilot's AI assistant can explain complex queries. If a user has a complicated SQL query that's difficult to understand, they can ask the DB Pilot AI assistant to explain it to them.
DB Pilot offers a five-day free trial which can be availed by downloading the app. After the trial period, users can purchase a lifetime license to continue using the service.
DB Pilot is designed to support systems with a minimum MacOS 12.6. It is available for download on both Mac (Apple Silicon) and Mac (Intel).
Pros and Cons
Pros
- Natural language SQL operations
- Queries through database GUI
- Converts between code and SQL
- Explains complex queries
- Embedded DuckDB instance
- Queries different file formats
- Stores query results locally
- Supports PostgreSQL databases
- Plans to support MySQL and SQLite
- Easy table filtration
- Joins different data formats
- Saves queries in different formats
- Queries remote files
- Straightforward pricing
- One-time lifetime license purchase
- Free download available
- Five-day free trial
- Privacy ensured
- Planned features: spreadsheet-like editors
- Planned features: smart code completion
- Planned features: additional database support
- Translates between code and SQL
- Queries local and remote files
- Local storage of query results
- Can join data from different formats
- Can write query results as CSV
- JSON
- or Parquet
- Allows connecting data from different sources
- Mac compatible
- Continually adding support for databases
Cons
- Limited database support
- API not mentioned
- Limited ORM libraries support
- Support mainly for SQL
- No query/chat history yet
- No cross-platform support mentioned
- Advanced features in roadmap
- Lacks smart code completion
- Minimal spreadsheet-like features
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