dbt Platform
dbt LabsExternal reviews
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dbt has vastly improved how I get work done. It has changed the data industry and it's wonderful
What do you like best about the product?
dbt gives data teams the ability to version their SQL code, execute that code as often as they'd like, maintain different environments and support multiple users in parallel. All of which require barely any thought from the user. All these functions used to be major pieces of my daily work and with dbt, they are simply memories of when I set up the product. It's wonderful.
What do you dislike about the product?
Once you start getting into some of the advanced functionality of dbt, you can find yourself in what feels like unexplored land. It's an open-source product, so your own creativity is your only limit. However, in those situations finding syntax examples for anything that isn't a main function of dbt is going to be extremely challenging.
What problems is the product solving and how is that benefiting you?
They're constantly improving the UI and user experience in ways that enable my teammates who may have less experience with technical or database maintenance work, to take ownership of their own work projects and exceed.
dbt has fundamentally changed the way we work
What do you like best about the product?
dbt has enabled us to literally re-model a data warehouse from scratch in a matter of months. All the complexities of handling scheduling dependencies, lineage, incremental models, snapshots, and robust, thorough testing have been abstracted away freeing us up to focus on the modelling and design work. If we had built all these ourselves this would have been a years-long project. dbt has also empowered our analysts to build data products without the need for BI Engineers.
What do you dislike about the product?
The primary downside we've all come to experience is that once you've worked with dbt you'll never want to work in an environment that doesn't transform its data with dbt.
What problems is the product solving and how is that benefiting you?
dbt really solved the problem of being able to build a world-class data warehouse rapidly with a small team of analytics engineers. The benefits have been numerous, from having jobs run according to dependencies so we don't have to worry about timing or manually schedule tasks, to built-in testing which means we know about errors before the business does. Our development times are now a fraction of what they were, and the analysts love that they are no longer dependent on a team of data/BI engineers to build and maintain their own models.
Elegant product which both simplifies & improves the role of a Data Analytics Engineer
What do you like best about the product?
DBT is a well-thought-out product which keeps the focus on SQL but also allows proper software engineering techniques to be applied
What do you dislike about the product?
IDE is still inferior to VSCode. Jinja is great but also can be very messy to use. Would prefer a cleaner separation which allows pure Python code to be written.
What problems is the product solving and how is that benefiting you?
Transformation of Business Logic in a Data Warehouse, separation of Development/Test and Production environments with less maintenance than before, allowing the focus to remain on solving business problems. Improved testing and Quality of data.
Analytics Engineering done right!
What do you like best about the product?
dbt's UI is easy to navigate, easy to code in, and easy to run. Documentation is easily accessed and written; I especially like the automatically generated, interactive data model that you can quickly grab when you want to show a stakeholder your work or when you want to discuss a new solution with a colleague.
It resolves many of the pain points of analytics engineering. They are constantly making improvements and implementing new things, but if anything is missing, chances are you can find it in one of the many packages written for dbt. The community is also great, and many resources are provided either there, or in the dbt documentation.
It resolves many of the pain points of analytics engineering. They are constantly making improvements and implementing new things, but if anything is missing, chances are you can find it in one of the many packages written for dbt. The community is also great, and many resources are provided either there, or in the dbt documentation.
What do you dislike about the product?
I sometimes wish there were more "standard" tests in dbt (such as max character length, min character length, max value, min value). One can make these themselves in macros (and potentially some packages could help with this?), but it would be a nice-to-have!
What problems is the product solving and how is that benefiting you?
Data is cleaner, data transformation is simpler, and manual joins are no longer needed. In the end, we've created multiple clean and aggregated tables that can act as a source of truth for analysts. Our data is also better documented.
Changed my work life!
What do you like best about the product?
It basically turns SQL into a dev environment and forces you to productionise your code using good practices. It makes repo control super simple and allows SQL analysts to create data products and pipelines.
What do you dislike about the product?
Some quality of life improvements could be made to the GUI but apart from that it's great!
What problems is the product solving and how is that benefiting you?
It allows data analysts to create full on data products, integrating wit Git and making the whole flow easy. It's also in cloud so it's super easy to use and set up.
Speed, Power, Control at low cost
What do you like best about the product?
the best achievements we reach with DBT is the time reductiong in ETL process .
What do you dislike about the product?
if you have to manage complex process you need to create a big number of models
What problems is the product solving and how is that benefiting you?
ETL time duration has been reduced and also our DWH cost decrease with this redcution
Great software to manage transformations
What do you like best about the product?
Eady to use, saves the need for a data engineer to manage our transformation pipelines, very scalable for our organization, integrates great with other tools in our tech stack
What do you dislike about the product?
dbt Cloud UI can be clunky and time consuming to load; without good data governance or guardrail, you can run up high data warehouse costs and a multiplication of tables and views
What problems is the product solving and how is that benefiting you?
dbt helps us manage all our data transformations in a single location and to schedule jobs that produce all our production tables for analytics purposes (dashboards, reports, models)
One of the best data transformations tool on the market
What do you like best about the product?
What I love about DBT is the ease of use! You only need to know SQL to do all the data transformations you need
What do you dislike about the product?
The only downside that comes to mind is the fact that there are a lot of tools you can use to work with DBT, and finding the right one might be tricky
What problems is the product solving and how is that benefiting you?
We automated all our data warehouse transformations with the help on DBT
One of the best Transformation product
What do you like best about the product?
Ease of use and setup
Transformation logic can be written easily
Python model makes it very much flexible
Transformation logic can be written easily
Python model makes it very much flexible
What do you dislike about the product?
Macros error debugging gets clumsy at times
What problems is the product solving and how is that benefiting you?
Helps me to write transformation logic easily
structured DB modelling
structured DB modelling
Awesome product + word of mouth
What do you like best about the product?
DBT solves the most fundamental and pressing problems that a small scale, agile data engineering team face. In particular it gives you the ability to take control of your datawarehouse, you decide, manage, develop, test, deploy the end to end steps of the warehouse, regardless of the technology you use.
What do you dislike about the product?
How it scales with complexity, size and maturity of the company. I struggle to see how this will progress into enterprise level solutions, but I could be surprised !
What problems is the product solving and how is that benefiting you?
A variety of technical problems: e.g. how to structure, how to run, how to deploy the logic underpinning the datawarehouse.
Some team problems: e.g. how do I ensure that various members of the data engineering team collaborate, share, build together
The benefits are clear, with 1 or 2 senior engineers that know dbt, you can build a data warehouse from scratch within a few months, with a budget 10 times smaller than what was possible previously.
This is clearly a technological rupture, there is a before and after dbt in the world of data warehouses (for startups )
Some team problems: e.g. how do I ensure that various members of the data engineering team collaborate, share, build together
The benefits are clear, with 1 or 2 senior engineers that know dbt, you can build a data warehouse from scratch within a few months, with a budget 10 times smaller than what was possible previously.
This is clearly a technological rupture, there is a before and after dbt in the world of data warehouses (for startups )
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