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Absolute game changer for data transformations without the need of data engineer expertise
What do you like best about the product?
dbt Cloud DAG orchestration (upstream and downstream handling) and model lineage graph (visualise your entire transformation layer)
What do you dislike about the product?
For a self-starter, there are so many useful features like exposures or hooks that need more explanation and/or examples
What problems is the product solving and how is that benefiting you?
Pure and simple: data transformations without the need of a data engineer. Everything is maintainable by a SQL-wielding data analyst
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DBT review
What do you like best about the product?
I like how DBT gives the tools to analysts to create production-level data without needing engineering effort. This allows us to have more control over our workflow.
What do you dislike about the product?
I find some of the syntax to be a bit painful but overall, I haven't had any big issues with the product.
What problems is the product solving and how is that benefiting you?
Performing ETL on raw tables to prep them for analysis and visualizations and then pushing them to our warehouse\other tools. DBT allows analysts to create these tables without needing engineering effort.
game changer technology
What do you like best about the product?
Data Catalog Feature. You can just build out your data warehouse while catalog feature takes care of documentation for you.
What do you dislike about the product?
None. Maybe it would be a bit challenging for people who are not familiar with version control.
What problems is the product solving and how is that benefiting you?
Building out Data Warehouse and Data Marts while documenting the transformation with data catalog feature. Also save a lot on data engineering time
Director
What do you like best about the product?
Very simple architecture written in SQL. I also love the community - lots of models have been built so it's easy to repackage.
What do you dislike about the product?
DBT cloud needs some work. It constantly refreshes and bugs out. I'd also like to see better alerting capabilities on job failures.
What problems is the product solving and how is that benefiting you?
DBT is making it easy for the pissed off business analyst to create useful databases. It's doing away with the technical skills gap that has existed historically.
DBT Rocks
What do you like best about the product?
Dbt is the best data pipelining tool I have ever used. DBT is extremely great at making it easy enough so analysts and data scientist can write their own pipelines, and integrate into other tools
What do you dislike about the product?
DBT's scheduling software isn't my favorite -- but I know they're actively trying to fix it. Likewise, I don't love DBT's stream capabilities.
What problems is the product solving and how is that benefiting you?
DBT solves all of our data cleaning and pipelining work. It speeds up everything and is great.
Recommendations to others considering the product:
Snowflake works really well with dbt -- but it does weird things with timestamps in incremental runs
Good if you have the software development experience and desire to manage database models as code
What do you like best about the product?
The ease, or in fact requirement, to use a repository is great if you are a developer who is used to that sort of thing and like what it offers you. Having the history of the data models tracked in this manner is great.
What do you dislike about the product?
Moves a lot of work to the data warehouse and doesn't replace an ETL tool. Nothing says dbt should be replacing an ETL tool but that's very much how I see it being used, which is unfortunate.
What problems is the product solving and how is that benefiting you?
Keeping track of changes to the database structure and the logic used in the creation of metrics is now a very simple process using dbt and a git repository. Additionally being able to easily build tests into those models is a time saver.
Love it, so far. Still getting up to speed.
What do you like best about the product?
Could based; transparency of how everything is built and executed; the support from dbt and the user community; integrated documentation, testing, and git repository; dbt leverages team SQL knowledge.
What do you dislike about the product?
How to find and use packages and macros is not intuitive. If you're new to dbt, it's hard to know what's available, or how to approach a specific use case.
What problems is the product solving and how is that benefiting you?
Loading data vault on snowflake. We are replacing another tool that was too cumbersome and inefficient.
Resolving sql’s shortcomings with dbt
What do you like best about the product?
Being able to easily onboard 10+ analysts, has significantly increased our speed to produce data models. This has enabled us to unblock our data teams and make sure they are producing high-value work, which would not have been possible without dbt
dbt’s integration with jinja allows the implementation of software engineering practices into the data world, this helps resolve the limitations that exist in vanilla SQL. For example, keeping SQL DRY can be a challenge, with dbt jinja repeated code is easily written once and looped in a loop, or wrapped in a macro.
dbt cloud enables an accessible front end for new developers, and automatic updates are a nice feature for administration.
The lineage graph enables quick analysis of downstream impacts of changing a model, no more searching the repo for a table and crossed fingers at release time.
dbt’s integration with jinja allows the implementation of software engineering practices into the data world, this helps resolve the limitations that exist in vanilla SQL. For example, keeping SQL DRY can be a challenge, with dbt jinja repeated code is easily written once and looped in a loop, or wrapped in a macro.
dbt cloud enables an accessible front end for new developers, and automatic updates are a nice feature for administration.
The lineage graph enables quick analysis of downstream impacts of changing a model, no more searching the repo for a table and crossed fingers at release time.
What do you dislike about the product?
dbt cloud’s ide can be slow to open and has limitations that have been acknowledged by dbt.
What problems is the product solving and how is that benefiting you?
Brighte is on a mission to make every home sustainable. Brighte’s data team is supporting this mission by building an integrated data warehouse, supporting data to analysts distributed thought the business.
dbt cloud facilitates the enablement of data analysts to contribute to developing the data warehouse, increasing throughput of development, and freeing our centralised analytics engineers to work on complex problems and develop architecture vision.
dbt cloud facilitates the enablement of data analysts to contribute to developing the data warehouse, increasing throughput of development, and freeing our centralised analytics engineers to work on complex problems and develop architecture vision.
Recommendations to others considering the product:
The rapid onboarding was a good way to get our team of 10 developers up to speed quickly.
Additionally, we have implemented a policy of developers completing the dbt fundamentals course online before taking branches of our prod repo. The fundamentals videos are a very quick way to get developers who have never seen dbt before thinking in the dbt mindset.
Additionally, we have implemented a policy of developers completing the dbt fundamentals course online before taking branches of our prod repo. The fundamentals videos are a very quick way to get developers who have never seen dbt before thinking in the dbt mindset.
DBT will change how you think about data
What do you like best about the product?
DBT will change how you develop analytics in a good way. With a background in software engineering developing analytics with DBT has started the revolution for analytical engineering. Testing, smaller components and built-in documentation.
What do you dislike about the product?
DBT can feel at times death by YAML files for configuring your setup. DBT cloud could be better if it allowed the execution of more outside python resources like FAL or re_data.
What problems is the product solving and how is that benefiting you?
we solve almost all of our data problems inside of DBT. data tests have allowed us to speed up our ability to understand problems and the documentation engine is pushing our team to think about this and how everything flows with data lineage.
great product, helpful team and community
What do you like best about the product?
dbt itself is a great tool - it's flexible and easy to use, and the learning curve isn't too steep (as it's largely SQL-based). It's easy to transform, test, and move data around, and because dbt sits between raw data and BI tools, it's possible to experiment, add business logic, and make changes to how data is transformed even retroactively.
Also, the team is very helpful (we engaged them as consultants to set up our data stack), the documentation is clear, and the slack community is a good resource.
Also, the team is very helpful (we engaged them as consultants to set up our data stack), the documentation is clear, and the slack community is a good resource.
What do you dislike about the product?
It's just one piece of a complete stack - you'll need a warehouse, a tool like Stitch or Fivetran to get data there, and a BI tool.
I mostly use dbt with a CLI, but the cloud product can be a bit slow.
I mostly use dbt with a CLI, but the cloud product can be a bit slow.
What problems is the product solving and how is that benefiting you?
It's a core part of our data stack that centralizes how data is transformed and how business logic is applied so that everyone at our company can see the same results. It organizes and joins data from disparate sources so it's easier to understand and use.
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