dbt-oracle VS dbt-metabase

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

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dbt-oracle dbt-metabase
1 1
41 425
- -
7.9 8.2
11 days ago 11 days ago
Python Python
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-oracle

Posts with mentions or reviews of dbt-oracle. 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 dbt-oracle and dbt-metabase you can also consider the following projects:

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

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

dbt-clickhouse - The Clickhouse plugin for dbt (data build tool)

airflow-dbt - Apache Airflow integration for dbt

piperider - Code review for data in dbt

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

data-diff - Compare tables within or across databases

ngods-stocks - New Generation Opensource Data Stack Demo

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

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