dbt-data-reliability VS dbt-documentor

Compare dbt-data-reliability vs dbt-documentor and see what are their differences.

dbt-data-reliability

dbt package that is part of Elementary, the dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features. (by elementary-data)
Data dbt-packages data-reliability data-pipeline-monitoring data-pipelines Analytics analytics-engineering data-observability data-lineage dbt dbt-artifacts dbt-tests
Source Code
elementary-data.com
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dbt-documentor

✍️ dbt doc generator for advanced data teams (by TextQLLabs)
analytics-engineering Data data-analytics data-pipelines dbt Documentation
Source Code
textql.com
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dbt-data-reliability dbt-documentor
2 1
342 18
2.6% -
9.7 3.5
7 days ago about 1 year ago
Python F#
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

dbt-data-reliability

Posts with mentions or reviews of dbt-data-reliability. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-04.

dbt-documentor

Posts with mentions or reviews of dbt-documentor. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing dbt-data-reliability and dbt-documentor you can also consider the following projects:

deequ - Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

optimus - Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.

elementary - The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.

F# Formatting - F# tools for generating documentation (Markdown processor and F# code formatter)

re_data - re_data - fix data issues before your users & CEO would discover them 😊

Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai

soda-core - :zap: Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io

F# Data - F# Data: Library for Data Access

sqllineage - SQL Lineage Analysis Tool powered by Python

versatile-data-kit - One framework to develop, deploy and operate data workflows with Python and SQL.

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

dbt-data-reliability vs deequ dbt-documentor vs optimus dbt-data-reliability vs elementary dbt-documentor vs F# Formatting dbt-data-reliability vs re_data dbt-documentor vs Mage dbt-data-reliability vs soda-core dbt-documentor vs F# Data dbt-data-reliability vs sqllineage dbt-data-reliability vs versatile-data-kit dbt-data-reliability vs soda-sql