reddit_api_elt VS dbt-coves

Compare reddit_api_elt vs dbt-coves and see what are their differences.

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reddit_api_elt dbt-coves
1 1
2 209
- 3.8%
7.0 9.2
3 months ago 5 days ago
Python Python
- Apache License 2.0
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.

reddit_api_elt

Posts with mentions or reviews of reddit_api_elt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-11.
  • Reddit ELT Pipeline
    2 projects | /r/dataengineering | 11 Dec 2023
    Hi everyone, this is my first DE project. Baitur5/reddit_api_elt (github.com) . It is basically about a data pipeline that extracts Reddit data for a Google Data Studio report, focusing on a specific subreddit Can you guys check it out , and give some advice & tips on how to improve it or the next things I should add.

dbt-coves

Posts with mentions or reviews of dbt-coves. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-15.
  • Is there something wrong with me, I hate dbt, what am I missing ?
    2 projects | /r/dataengineering | 15 May 2023
    This just feels like you aren’t using the plentiful tools to make those “mind-numbingly slow” dev steps faster. For ex., using dbt-coves to generate the staging models with casting to types in a couple clicks. And pulling directly from Fivetran tables is just poor practice, with the additional steps needed to do it “right” being inconsequential at best.

What are some alternatives?

When comparing reddit_api_elt and dbt-coves you can also consider the following projects:

sqlmesh - Efficient data transformation and modeling framework that is backwards compatible with dbt.

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

magic-the-gathering - A complete pipeline to pull data from Scryfall's "Magic: The Gathering"-API, via Prefect orchestration and dbt transformation.

f1-data-pipeline - F1 Data Pipeline

datavault4dbt - Scalefree's dbt package for a Data Vault 2.0 implementation congruent to the original Data Vault 2.0 definition by Dan Linstedt including the Staging Area, DV2.0 main entities, PITs and Snapshot Tables.