SQL Enlight vs Sqruff

SQL Enlight is a static analysis and refactoring tool for SQL Server and T-SQL. It examines code and databases for defects and supports server health monitoring, diagnosis, and performance tuning. Developers can validate syntax, run automated reviews, and apply automatic fixes to some code and database issues. Formatting, script summaries, and outlines help make large scripts easier to work with; sections can also be extracted into stored procedures or functions. Developers and database administrators can create custom analysis rules with XPath and XSLT. The tool integrates with SQL Server Management Studio and Visual Studio, and supports build workflows through Team Foundation Server check-in policies, MSBuild tasks, a command-line interface, and an Automation API. Its Azure DevOps extension supports build analysis, quality gates, reports, and pull-request checks and comments; a SonarQube plugin adds T-SQL issues, measures, rules, and quality-gate integration. SQL Enlight supports SQL Server 2005 through 2022, including Azure SQL Database. The paid product has a 14-day evaluation period. Licenses include email support, updates, and documentation access.

Sqruff is a free SQL linter and formatter written in Rust, focused on formatting valid SQL for particular dialects and providing linting and fixes. It offers configurable automated formatting, custom rules, and column-level data lineage analysis for SQL queries. Dialects include ANSI, Athena, BigQuery, ClickHouse, Databricks, DuckDB, MySQL, Oracle, Postgres, Snowflake, SQLite, and Trino, among others. Dialect and rule settings are read from a project `.sqruff` configuration file. Developers can use the maintained VS Code and Zed integrations, or an LSP server with other LSP-capable editors. A documented GitHub Action supports use in CI, and a browser playground is available. Installation options include Homebrew, a bash installer, pip, cargo, binary releases, and an official Docker image. The public repository provides an Apache-2.0 license. The project identifies dbt project support as experimental and is associated with Quary, an open-source analytics platform for engineers based in the United Kingdom.