dbt
No written verdict yet. Here is what commenters said.
6recommend
2warn against
Nov 3, 2025first mention
Oct 23, 2026latest mention
Why people recommend it
“using a transformation tool (like dbt for example) to do all the transformations in SQL, source controlled”
Show 3 more
“I find it easier to maintain and it helps me with version control, testing, and docs.”
deals with data pipelines a loton “Learn SQL Once, Use It for 30 Years”
“same way dbt is for transformations within a data warehouse”
Caveats and dissent
“DBT never struck me as fully baked”
worked on DBT migration projectson “Can we replace a $150k Looker with a bucket of HTML …”
“I am currently ditching both airflow and dbt”
Often compared with
Amazon Web ServicesWho recommends it in their own words
Threads where it came up
- A Preview of DuckDB v2.0 2 mentions
- Ask HN: Who wants to be hired? (July 2026) 2 mentions
- Ask HN: Who is hiring? (February 2026) 2 mentions
- Command-line Tools can be 235x Faster than your Hadoop Cluster (2014) 2 mentions
- Can we replace a $150k Looker with a bucket of HTML files? 1 mention
- The Human-in-the-Loop Is Tired 1 mention
Data: dbt.json. Quotes are verbatim; the verdict and theme labels are written by a model from these comments, and every clause links to its sources.
All comments 28
“DBT never struck me as fully baked”
Check it out Arc, I think that we can help there, plus, use DuckDB as a engine: https://github.com/Basekick-Labs/arc
“great dbt integration”
“how to write dbt models saves me time”
“I built a dbt[1] inspired utility[2]”
“standardised transformation logic across dbt models”
“Snowflake, Python, SQL, dbt”
“using a transformation tool (like dbt for example) to do all the transformations in SQL, source controlled”
“especially combined w/ dbt”
“Python, PostgreSQL, TigerData, dbt, Dagster, Grafana, Terraform”
“I find it easier to maintain and it helps me with version control, testing, and docs.”
“it works with DBT, reading `target/manifest.json`”
“using Python, SQL, Snowflake/dbt/Airflow, and Anaplan”
“[Airbyte, Snowflake, dbt, Metabase, Python]”
“together with `dbt` and `rill` I'm able do to”
“same way dbt is for transformations within a data warehouse”
“Inspired by dbt (data-build-tool).”
“Data: Databricks, Snowflake, dbt, DuckDB, Tuva Data Model”
“experience in dbt/snowflake/postgres”
“Tech Stack: Rails, React, TypeScript, PostgreSQL, AWS, Elasticsearch, DBT, Snowflake”
“dbt”
“dbt”
“dbt docs starts to feel limiting”
“a dbt package that evaluates LLM outputs”
“Dbt just templates the query strings we use to query the data”
“I am currently ditching both airflow and dbt”
“DuckDB, dbt, Parquet”
“Our stack: Next.js, Hasura, dbt, MotherDuck/DuckDB, GraphQL”