SQLAI.ai positions itself as a single AI workbench for everything you do with SQL. You describe what you need in natural language and it writes a query, then lets you validate the syntax, format it for review, ask for a clause-by-clause explanation, optimize it for performance with index-aware rewrites, or convert it to a different database dialect. The platform advertises support for around 28-30 engines split into relational (MySQL, PostgreSQL, SQL Server, Oracle PL/SQL, MariaDB), analytical (Snowflake, BigQuery, Redshift, Hive, ClickHouse, Presto, SAP HANA, Athena/Trino, Vertica), NoSQL (MongoDB, Cassandra, DynamoDB), graph (Neo4j, OrientDB) and query layers such as GraphQL, PartiQL and Salesforce SOQL/SOSL.
Beyond generation, SQLAI.ai adds workflow helpers aimed at teams that work with large schemas. You can import a schema file or connect read-only to a database so the model has real table and column context; schema autosuggest completes table and column names while you type a prompt; per-database "rules" let you enforce conventions such as identifier quoting or row limits; and a side-by-side diff view shows exactly what the AI changed when optimizing or rewriting a query. A VS Code-style query editor is included for final manual adjustments.
According to the vendor's public pages, the tool has been used by more than 150,000 people and has generated over 25 million queries. Pricing follows a freemium model with a free tier and paid plans, including an API for programmatic access; exact quotas and rates should be checked on the official pricing page since they change over time.
