terraform-sqlformat VS sqlfluff

Compare terraform-sqlformat vs sqlfluff and see what are their differences.

terraform-sqlformat

Formatting SQL inside of terraform with an external data source (by RulerOf)

sqlfluff

A modular SQL linter and auto-formatter with support for multiple dialects and templated code. (by sqlfluff)
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terraform-sqlformat sqlfluff
1 35
0 7,219
- 1.2%
10.0 9.6
over 1 year ago 7 days ago
Shell Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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terraform-sqlformat

Posts with mentions or reviews of terraform-sqlformat. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-04.
  • Terraform - Pre commit hooks
    2 projects | /r/Terraform | 4 Oct 2022
    Thanks to /u/etiennedeneuve and /u/MundaneFinish I felt a little inspired to create and example that solves this the "right" way (IMO). My opinion was that your query file should be normalized by running Terraform, not by git hooks, so I created this repo to illustrate: https://github.com/RulerOf/terraform-sqlformat

sqlfluff

Posts with mentions or reviews of sqlfluff. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-19.

What are some alternatives?

When comparing terraform-sqlformat and sqlfluff you can also consider the following projects:

vscode-sqlfluff - An extension to use the sqlfluff linter in vscode.

sqlparse - A non-validating SQL parser module for Python

dbt-utils - Utility functions for dbt projects.

ale - Check syntax in Vim/Neovim asynchronously and fix files, with Language Server Protocol (LSP) support

soda-sql - Data profiling, testing, and monitoring for SQL accessible data.

Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:

airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

streamlit - Streamlit — A faster way to build and share data apps.

spark-fast-tests - Apache Spark testing helpers (dependency free & works with Scalatest, uTest, and MUnit)

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

superset - Apache Superset is a Data Visualization and Data Exploration Platform

Prefect - The easiest way to build, run, and monitor data pipelines at scale.