Tantl

nao is an AI-powered data IDE designed specifically for data teams, combining a code editor with native integration to your data warehouse so you can write, test, and maintain data-centric code with full context. It supports warehouses such as Postgres, Snowflake, BigQuery, Databricks, DuckDB, Motherduck, Athena, and Redshift. Once connected, nao replaces a traditional data-warehouse console by offering schema-aware SQL auto-completion, data previews, SQL worksheets, and the ability to switch easily between multiple warehouses. The core of nao is its AI agent, which has full awareness of your actual data schema, tables, columns, metadata, and your codebase or data-stack context. It can generate SQL queries or full data-transformation models (e.g., for dbt workflows), refactor code, add or update documentation, run data-quality checks and data-diff tests, and even surface insights or run exploratory analytics, all while respecting data structure and quality constraints.

Blaze learns about your database, writes your SQL code, runs the query, and even creates graphs and dashboards, for ultimate AI data analytics. Tell Blaze what you need and skip 85% of the data work. BlazeSQL for desktop allows you to run queries and visualize your data, completely local and private, Blaze AI remembers what your columns mean, by letting you add that information to its memory (like database documentation). Add your database info in seconds, connect, or just paste column names. The AI can understand your database without seeing your actual data, just run the provided query to extract table names, column names, etc. Paste the result, and the AI will remember it. Blaze is the perfect tool for working with SQL databases. Simply write what data you want in English, and Blaze gives you the SQL code. Blaze can generate pretty complex queries using the technology behind ChatGPT, and improve over time.