Skip to content
SPECIFICTION
Get listed

SQL Formatter VSCode vs SQLCheck

SQL Formatter VSCode

github.com

SQLCheck

github.com

Side by side

FigureSQL Formatter VSCodeSQLCheck
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
Windows—Yes
macOS—Yes
Linux—Yes
Plans published11
Spec score · SQL Linters and Formatters7.3 (#20)8.2 (#7)
PurposeSQL Formatter VSCode is the official VSCode extension of the SQL Formatter library and formats SQL files.SQLCheck automatically detects common SQL anti-patterns that can slow queries.
SupportThe extension README directs users to report issues through the SQL Formatter library's GitHub issue tracker and recommends reading its FAQ first.The project invites users to open issues, submit pull requests, and improve its documentation.

Plans

SQL Formatter VSCode

  • FreeFree

SQL Formatter VSCode pricing →

SQLCheck

  • SQLCheckFree

SQLCheck pricing →

In their own words

SQL Formatter VSCode

SQL Formatter VSCode has no write-up on Specifiction yet; its figures are above.

Visit github.com

SQLCheck

SQLCheck is a free command-line utility that scans SQL files for common anti-patterns associated with slow queries. It groups findings into logical database design, physical database design, query, and application development categories. Users can choose to check all patterns, medium- and high-risk patterns, or only high-risk patterns. The command line accepts a SQL file name and offers color and verbose output modes. The project identifies Microsoft SQL Server, MySQL, Oracle, PostgreSQL, and SQLite3 as supported dialects, and says it targets all major SQL dialects. Downloads are listed for Debian, RPM, macOS DMG, Windows EXE, and ZIP. Release notes for v1.3 list line numbers and a status code of 1 when anti-patterns are found. SQLCheck does not automatically fix findings and has no editor extensions or configuration file. Source-build instructions name g++ 4.9 or later and CMake. The repository identifies the license as Apache-2.0 and welcomes issues, pull requests, and documentation contributions.

Visit github.com