Natural Language SQL vs NatureQuery

Natural Language SQL turns plain-English questions about databases into SQL, validates and runs the query, then streams back results. It connects to PostgreSQL and MySQL, including multiple databases of the same type in parallel. Hybrid retrieval combines BM25 and sentence-transformer vectors to select schema context for a question. Users can review and edit generated SQL before execution, while the interface shows progress through query stages. Results can be sorted, paginated at 50 rows per page, downloaded as CSV or JSON, or copied as tab-separated text. SELECT queries receive a default limit, explicit result counts are capped at 1,000 rows, and execution times out after 30 seconds by default. INSERT, UPDATE and DELETE are allowed by default, with warning banners; the project recommends a read-only database user to block writes. Ollama runs locally by default, keeping questions, schema and generated SQL on the user’s machine. OpenAI, Gemini and Groq are optional cloud providers and receive the question, relevant schema portion and SQL context. The project is free under GPL-3.0. Its recommended Docker setup needs Docker 20.10 or later with Compose v2 and about 10 GB of free disk space.

NatureQuery turns natural-language questions into SQL, runs them against a connected database, and exports results as Excel spreadsheets or CSV files. Its AI is described as understanding database schemas, and the product can create bar, line, and pie charts from results. Listed database support includes PostgreSQL, MySQL, SQLite, SQL Server, MariaDB, and Amazon Redshift. Teams can invite members and share connections and saved queries using role-based access. The cloud service is available through the web and API. Its free plan costs nothing and includes 50 queries per month, one database connection, and 30 days of query history. Pro costs $20 a month and includes unlimited queries, 10 connections, collaboration for five members, API access, and priority support. Enterprise costs $79 a month and lists unlimited queries, connections, and members, plus SSO / SAML, audit logs and compliance, and dedicated support with an SLA. NatureQuery says credentials and connections are encrypted and query results are not stored.