DB Pilot is a modern database GUI that harnesses AI to simplify SQL operations. Equipped with an AI assistant powered by GPT-3.5, it allows users to write SQL queries using natural language, convert between code and SQL, and elucidate complex queries.
Additionally, DB Pilot features an embedded DuckDB instance serving as a local hub. This facilitates querying various file formats like CSV, JSON, and Parquet files, and storing query results without affecting the production database.
Currently supporting PostgreSQL databases, DB Pilot plans to extend its compatibility to MySQL and SQLite soon. Users benefit from easy table filtering, seamless data format joining, saving query results in multiple file formats, and remote file querying.
DB Pilot offers transparent pricing with a one-time purchase for a lifetime license, inclusive of one year of AI assistant access and app updates. Future enhancements on the roadmap include spreadsheet-like editors, intelligent code completion based on database schema, and expanded database support.
Users can freely download DB Pilot and enjoy a five-day trial before committing to a license purchase. Importantly, DB Pilot’s AI assistant operates without accessing any actual user database data, ensuring privacy and confidentiality.
More details about DB Pilot
Is there post-purchase support available from DB Pilot?
DB Pilot’s post-purchase support details are not provided.
What restrictions does the free DB Pilot version have?
The restrictions of the free DB Pilot version are not specified.
What is the pricing structure for DB Pilot?
DB Pilot offers a straightforward pricing model. Users can purchase a lifetime license with one year of access to the AI assistant and app updates. After the initial year, access to the AI assistant and app updates can be renewed at a cost of $49 per year.
How does the AI assistant in DB Pilot work?
DB Pilot’s AI assistant, powered by GPT-3.5, aids users in writing SQL queries using natural language, explaining complex queries, and converting between code and SQL. It interprets user instructions in English, determining which tables to use, how to join them, and which columns to display.
