dbt-core

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

Dbt-core Alternatives

Similar projects and alternatives to dbt-core

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better dbt-core alternative or higher similarity.

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dbt-core reviews and mentions

Posts with mentions or reviews of dbt-core. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-16.
  • Dbt
    1 project | news.ycombinator.com | 18 Feb 2024
  • Relational is more than SQL
    11 projects | news.ycombinator.com | 16 Sep 2023
    dbt integration was one of our major goals early on but we found that the interaction wasn't as straightforward as had hoped.

    There is an open PR in the dbt repo: https://github.com/dbt-labs/dbt-core/pull/5982#issuecomment-...

    I have some ideas about future directions in this space where I believe PRQL could really shine. I will only be able to write those down in a couple of hours. I think this could be a really exciting direction for the project to grow into if anyone would like to collaborate and contribute!

  • How to Level Up Beyond ETLs: From Query Optimization to Code Generation
    1 project | news.ycombinator.com | 6 Sep 2023
    > Could you share more specific details? Happy to look over / revise where needed.

    Sure thing! I'd say first off, the solutions may look different for a small company/startup vs. a large enterprise. It can help if you explain the scale at which you are solving for.

    On the enterprise side of things, they tend to buy solutions rather than build them in-house. Things like Informatica, Talend, etc. are common for large enterprises whose primary products are not data or software related. They just don't have the will, expertise, or the capital to invest in building and maintaining these solutions in-house so they just buy them off the shelf. On the surface, these are very expensive products, but even in the face of that it can still make sense for large enterprises in terms of the bottom line to buy rather than build.

    For startups and smaller companies, have you looked at something like `dbt` (https://github.com/dbt-labs/dbt-core) ? I understand the desire to write some code, but often times there are already existing solutions for the problems you might be encountering.

    ORM's should typically only exist on the consumer-side of the equation, if at all. A lot of business intelligence / business analysts are just going to use tools like Tableau and hook up to the data warehouse via a connector to visualize their data. You might have some consumers that are more sophisticated and may want to write some custom post-processing or aggregation code, and they could certainly use ORM's if they choose, but it isn't something you should enforce on them because it's a poor place to validate data since as mentioned there are different ways/tools to access the data and not all of them are going to go through your python SDK.

    Indeed in a large enough company, you are going to have producers and consumers that are going to use different tools and programming languages, so it's a little bit presumptuous to write an SDK in python there.

    Another thing to talk about, and this probably mostly applies to larger companies - have you looked at an architecture like a distributed data mesh (https://martinfowler.com/articles/data-mesh-principles.html)? This might be something to bring to the CTO more than try to push for yourself, but it can completely change the landscape of what you are doing.

    > More broadly is the issue of the gap of what you think the role is, and what the role actually is when you join. There are definitely cases where this is accidental. The best way I can think of to close the gap is to maybe do a short-term contract, but may be challenging to do under time constraints etc.

    Yeah this definitely sucks and it's not an enviable position to be in. I guess you have a choice to look for another job or try to stick it out with the company that did this to you. It's possible there is a geniune existential crisis for the company and a good reason why they did the bait-and-switch. Maybe it pays to stay, especially if you have equity in the company. On the other hand, it could also be the case that it is the result of questionable practices at the company. It's hard to make that call.

  • Python: Just Write SQL
    21 projects | news.ycombinator.com | 14 Aug 2023
    I really dislike SQL, but recognize its importance for many organizations. I also understand that SQL is definitely testable, particularly if managed by environments such as DBT (https://github.com/dbt-labs/dbt-core). Those who arrived here with preference to python will note that dbt is largely implemented in python, adds Jinja macros and iterative forms to SQL, and adds code testing capabilities.
  • Transform Your Data Like a Pro With dbt (Data Build Tool)
    2 projects | dev.to | 8 Jun 2023
    3). Data Build Tool Repository.
  • What are your thoughts on dbt Cloud vs other managed dbt Core platforms?
    1 project | /r/dataengineering | 23 May 2023
    dbt Cloud rightfully gets a lot of credit for creating dbt Core and for being the first managed dbt Core platform, but there are several entrants in the market; from those who just run dbt jobs like Fivetran to platforms that offer more like EL + T like Mozart Data and Datacoves which also has hosted VS Code editor for dbt development and Airflow.
  • How do I build a docker image based on a Dockerfile on github?
    2 projects | /r/docker | 5 May 2023
  • Dbt vs. SqlMesh
    1 project | /r/dataengineering | 29 Apr 2023
    Ahh I misunderstood, yes column level lineage is useful. DBT prefers leveraging macros which sort of breaks this pattern. I think the DBT way would be to better separate fields into upstream models and use table tracking https://github.com/dbt-labs/dbt-core/discussions/4458
  • DBT core v1.5 released
    2 projects | /r/dataengineering | 28 Apr 2023
    Here’s the PR, which includes a what/how/why: https://github.com/dbt-labs/dbt-core/issues/7158
  • DBT Install
    1 project | /r/Supabase | 22 Mar 2023
    I've attached a link to their documentation. DBT is becoming increasingly popular within the Data Engineering community with over 5k stars on github.
  • A note from our sponsor - InfluxDB
    www.influxdata.com | 19 Jun 2024
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Basic dbt-core repo stats
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2 days ago

dbt-labs/dbt-core is an open source project licensed under Apache License 2.0 which is an OSI approved license.

The primary programming language of dbt-core is Python.


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