dbt-metabase VS airflow-dbt

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

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dbt-metabase airflow-dbt
1 1
425 379
- 2.1%
8.2 0.0
11 days ago 10 months 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.

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.

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.

What are some alternatives?

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

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.

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

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

elyra - Elyra extends JupyterLab with an AI centric approach.

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

ngods-stocks - New Generation Opensource Data Stack Demo

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

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

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

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

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