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sql-tools vs SQLFluff

sql-tools

sql-tools.com

SQLFluff

sqlfluff.com

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Figuresql-toolsSQLFluff
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYes—
Windows—Yes
macOS—Yes
Linux—Yes
API—Yes
Self-hosted—Yes
Plans published11
Spec score · SQL Linters and Formatters7.1 (#24)8.0 (#10)
Purposesql-tools is a free, browser-based toolkit for engineers working with Snowflake, BigQuery, Databricks, PostgreSQL, MySQL, and SQL Server.SQLFluff is an open source, dialect-flexible SQL linter designed with ELT applications in mind.
SecurityThe privacy policy says the service uses reasonable safeguards but cannot guarantee complete security.SQLFluff does not execute SQL itself, but templating macros such as dbt’s run_query may execute arbitrary SQL; its Jinja templater uses Jinja2 SandboxedEnvironment to limit unsafe code execution.
SupportThe About page provides [email protected] for feedback.The project lists documentation, GitHub, Slack, and Stack Overflow as community channels.

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sql-tools

  • FreeFree

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SQLFluff

  • SQLFluffFree

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In their own words

sql-tools

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SQLFluff

SQLFluff is an open-source, dialect-flexible SQL linter designed for ELT applications. It reports style and syntax issues, parses SQL without database access and can automatically fix many violations with one command. Documentation describes support for more than 25 dialects, including T-SQL, PostgreSQL, BigQuery and Snowflake, alongside more than 70 rules for style, structure and best practices. Jinja templating and dbt are supported, and CI/CD integration includes GitHub Actions output for pull-request annotations. SQLFluff is free under the MIT License and installs from PyPI with pip or another Python package manager. It does not execute SQL itself, but templating macros such as dbt's run_query may execute arbitrary SQL. The Jinja templater uses Jinja2 SandboxedEnvironment to limit unsafe code execution. The dbt templater requires the relevant adapter and sqlfluff-templater-dbt package; models accessing a database during compilation require database access. Community support includes documentation, GitHub, Slack and Stack Overflow.

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