SQL Enlight vs SQLint

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.

SQLint is a free, MIT-licensed Python parser and linter for Standard SQL (BigQuery), intended for developers on Linux. It checks indentation, repeated spaces and blank lines, keyword casing, comma placement, bracket spacing, operator spacing, and join formatting. The `-f` option formats SQL, and automatic fixes are supported. Command-line use and Python imports for `parse`, `check`, and `format` are documented. The project also describes a configuration file, CI/CD integration, and Docker instructions for building and running the tool. Installation uses `pip install sqlint` or a repository clone. PyPI lists version 0.2.4, released October 22, 2019, with a source distribution and a platform-independent `py3-none-any` wheel. The package is classified as Alpha, and no free trial is listed because the package itself is free. The repository provides an Issues tracker for questions and reports. The documented SQL dialect is Standard SQL (BigQuery), with no third-party integrations listed on the opened page.