Question: Is there a system that can augment and fill in gaps in existing tabular data using natural language prompts or SQL?

If you're looking for a system that can augment and fill in gaps in existing tabular data using natural language prompts or SQL, Gretel Navigator might be exactly what you need. This compound AI system allows users to generate, edit, and amplify tabular data through both SQL and natural language prompts. It can interpolate data, fill gaps, and even create new correlated data. Gretel Navigator is used by companies like Ernst & Young and Databricks, and offers a real-time inference API for seamless integration into data services.

Another solid option is Defog, a natural language data query platform that ensures data privacy and security while providing accurate results through its fine-tuned AI models. It integrates with major SQL databases and data warehouses, offering features like customizable visualization and statistical model building. Defog's capabilities include text-to-SQL conversions with high accuracy and support for on-premises hosting, making it ideal for enterprises looking to automate data queries and enhance data analysis workflows.

For a tool that focuses specifically on generating and optimizing SQL and NoSQL queries, SQLAI.ai is worth considering. It can create queries from natural language prompts, optimize query performance, and explain queries with inline comments. SQLAI.ai supports various databases and is designed to facilitate productivity for developers, data analysts, and others needing to manage complex query operations.

Lastly, TEXT2SQL offers an AI-powered SQL query builder that converts plain English into SQL queries. It supports multiple SQL dialects and includes features like SQL query error correction and the ability to generate Excel formulas and Regex expressions. This tool is useful for both learning SQL skills and automating professional work, with competitive pricing and a free trial available to try it out.