dbt Platform
dbt LabsExternal reviews
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Easy to use, powerful tool
What do you like best about the product?
In my company, we embraced dbt cloud only a few months ago, looking for a tool to help us migrate from unserviceable legacy python scripts living on Airflow, which could be replaced with more straightforward SQL model solutions. It has fundamentally changed how the data team works, incorporating software engineering best practices like version control and documentation. It is a solution that not only a data engineer could use or understand.
What do you dislike about the product?
The Cloud IDE needs some work, and the integration with python should be faster and easier.
What problems is the product solving and how is that benefiting you?
Separation of test/development environments in the data warehouse, replacement of old and unserviceable processes, management of data transformations and load in one place.
Game changing solution that brings software engineering best practices to data work
What do you like best about the product?
dbt brings a ton of best practices from software engineering: code versioning, automated testing, documentation, and support for deploying to multiple environments to the process of transforming data (ETL/ELT). Prior to using dbt I'd either have SQL code stuck in an IDE somewhere or obfuscated through an orchestration tool like airflow that made it difficult for non-coders to contribute effectively to a data team. Even as a senior data engineer I love the best practices and simplicity that dbt has brought to my team and I'm looking forward to its continued growth!
What do you dislike about the product?
Nothing major, dbt is still a relatively new product with active development so some minor annoying things are constantly being improved. For example, the IDE in dbt cloud wasn't super performant and auto-completion would not always work, but both things were improved drastically through the most recent release. We had a little bit of an initial learning curve for customizing our environment to suit our specific use-case, but I like that we weren't forced to do a bunch of customization out of the box so you could easily start using the product.
What problems is the product solving and how is that benefiting you?
Performing data transformation at scale using only SQL and deploying those to multiple environments while using code versioning. Our ability to create standardized reporting tables for multiple different projects has drastically improved.
Not sure we'd manage without it
What do you like best about the product?
dbt offers a graceful path for analysts and data practitioners to start leveraging long-standing Software Engineering best practices. Git, ci/cd, and the command line can seem daunting but dbt makes it easy to get started with the cloud IDE, then graduate to the command line/local IDE. The end-result is data resources that are re-usable, composable, tested, and higher quality since they benefit from git-style collaboration.
What do you dislike about the product?
Limited to transformations in the warehouse and need to rely on separate tool for jobs upstream of the warehouse and downstream delivery. Also, despite the simplicity, some entrenched analysts hesitate to adopt dbt since it's a significant paradigm shift.
What problems is the product solving and how is that benefiting you?
producing high-quality data resources for stakeholders with diverse needs
generating documentation that allow stakeholders to self-serve
a system for collaboration on data work
generating documentation that allow stakeholders to self-serve
a system for collaboration on data work
dbt is a gamechanger
What do you like best about the product?
dbt has transformed the way we work for the better. Not only does it enable modularity and re-usability across our data warehouse, but it also enabled us to easily set up development environments which resulted in much faster iteration time.
What do you dislike about the product?
The dbt cloud console is confusing and a bit difficult to use.
What problems is the product solving and how is that benefiting you?
dbt enables faster development of our data warehouse by providing dev tools and documentation out of the box.
Everything we use from dbt is wonderful.
What do you like best about the product?
What we like the most, without a doubt, is the docs (lineage) feature. We were able to understand practically all of our data load flow by looking at this feature.
What do you dislike about the product?
So far I've enjoyed all the features we've used from dbt. Snapshots and tests are still missing, but they will certainly meet our needs.
What problems is the product solving and how is that benefiting you?
We had a lot of difficulty getting a complete view of our DW load. Many times forgetting to update some visual documentation that we did manually. However, with the docs (lineage) feature of dbt we no longer have this type of problem.
I can define my 6 month experience with dbt with the word Productivity
What do you like best about the product?
I believe that what I like most is the possibility of versioning the codes. This greatly facilitates the maintenance and evolution of projects, generating a lot of productivity for the team.
What do you dislike about the product?
Taking into account the maturity of the analytical engineering area, in 6 months of use we found no disadvantages.
What problems is the product solving and how is that benefiting you?
One of the main points that dbt is solving is the organization of our DW, data modeling is extremely flexible, easy application of version control, data quality testing, low learning curve and integrated documentation.
Invaluable tool that fosters a culture of transparency
What do you like best about the product?
Dbt frees me up to understand data logic without asking the data engineers, thus unblocking me to move faster and make better decisions
What do you dislike about the product?
Sometimes the error messages are not easy to understand and require some assistance, but this is rare
What problems is the product solving and how is that benefiting you?
Dbt makes it easier for all members of a data team to understand logic, upstream/downstream dependencies, increase the quality of critical data, and uplevels the data IQ of an entire company. By ensuring that our data is logical and well-tested, we free up our time to do less debugging and more analysis.
No brainer when working with batch processing
What do you like best about the product?
It gives you a set of tools to improve data governance and quality. It allows developers to apply many software engineering concepts to create a robust data pipeline.
What do you dislike about the product?
It can be complicated to implement and maintain for a non-technical person or someone who is not proficient in SQL. One of the main limitations for me was that you couldn't run python, which apparently was recently implemented (I haven't tried it yet).
What problems is the product solving and how is that benefiting you?
It helps you to create a robust data pipeline that holds the "source of truth" for data being used for analysis. Using dbt you can automate a lot of transformations and tests, work in collaboration with your peers and write robust documentation.
Gamechanger
What do you like best about the product?
Templating SQL, enabling aspects of data engineering to be treated more like software engineering. CI/CD pipelines. Autogenerated lineage and documentation. Git intergration.
What do you dislike about the product?
I think dbt should be more opinionated on best practices around staging/intermediate/marts and the vocabulary used. Would also like to see further niche coverage (snowflake streams).
What problems is the product solving and how is that benefiting you?
SQL Model lineage and versioning. It makes it much more clearer the upstream sources and downstream impacts of changing any SQL model. Integrated version control and deployment environments also makes rollbacks and testing much easier.
Necessary for all data teams
What do you like best about the product?
dbt allows small teams to tenfold their workflow. Small hassle changes are made easier and make sense with dbt. dbt allows you to build on past work quickly and easily. The dbt community is also amazing to be a part of.
What do you dislike about the product?
They're new and relatively young so not all the features are there for an optimized workflow. But they are working on it.
What problems is the product solving and how is that benefiting you?
Metrics alignment, single source of truth for data.
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