Databases · Eight engines
Natural language to SQL for every database you run
NLQueries ships seven dedicated database connectors, a connect mysql command for MySQL, and a generic SQLAlchemy connector for MariaDB, Oracle and anything else with a connection URL.
Each engine page covers the install extra, the connect command, where query history comes from, and what the read-only role must look like for safe NL2SQL on that database.
-
Connector
PostgreSQL
Natural language to SQL for Postgres, AWS RDS for PostgreSQL, Supabase, Neon, Cloud SQL and Azure Database for PostgreSQL.
included -
Connector
MySQL
Natural language to SQL for MySQL 8, Amazon RDS for MySQL, Aurora MySQL and MariaDB.
pip install "nlqueries-core[mysql]" -
Connector
Snowflake
Natural language to SQL for Snowflake Data Cloud on AWS, Azure or GCP.
pip install "nlqueries-core[snowflake]" -
Connector
BigQuery
Natural language to SQL for Google BigQuery.
pip install "nlqueries-core[bigquery]" -
Connector
Amazon Redshift
Natural language to SQL for Redshift provisioned clusters and Redshift Serverless.
pip install "nlqueries-core[redshift]" -
Connector
SQL Server
Natural language to SQL for Microsoft SQL Server and Azure SQL Database.
pip install "nlqueries-core[mssql]" -
Connector
DuckDB
Natural language to SQL for DuckDB files and in-memory DuckDB databases.
pip install "nlqueries-core[duckdb]" -
Connector
SQLite
Natural language to SQL for SQLite files, including app databases and exported datasets.
included
Need another engine? nlqueries connect sqlalchemy --url "..." reaches any database SQLAlchemy can, and the contributing guide explains how to add a dedicated connector.