airflow-dbt VS dbt-metabase

Compare airflow-dbt vs dbt-metabase and see what are their differences.

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airflow-dbt dbt-metabase
1 1
379 429
1.1% -
0.0 8.2
10 months ago 4 days ago
Python Python
MIT License 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.

airflow-dbt

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

dbt-metabase

Posts with mentions or reviews of dbt-metabase. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-21.
  • A modern data stack for startups
    4 projects | dev.to | 21 Apr 2022
    So how do we get this into Metabase? There's a tool called dbt-metabase that can infer Metabase semantic type information from the dbt schema and push it into Metabase- we run this whenever complete a dbt build, helping sync Metabase with whatever new fields we may have added.

What are some alternatives?

When comparing airflow-dbt and dbt-metabase you can also consider the following projects:

dbt-spotify-analytics - Containerized end-to-end analytics of Spotify data using Python, dbt, Postgres, and Metabase

dbt-fal - do more with dbt. dbt-fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.

elyra - Elyra extends JupyterLab with an AI centric approach.

dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

nodejs-bigquery - Node.js client for Google Cloud BigQuery: A fast, economical and fully-managed enterprise data warehouse for large-scale data analytics.

dbt-ml-preprocessing - A SQL port of python's scikit-learn preprocessing module, provided as cross-database dbt macros.

ngods-stocks - New Generation Opensource Data Stack Demo

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

pgsink - Logically replicate data out of Postgres into sinks (files, Google BigQuery, etc)

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

MetabaseMonitoringToolkit - Set of queries designed to measure how users are consuming queries and dashboards.