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Excellent product
What do you like best about the product?
Documentation, testing. Combination of sql and yaml.
What do you dislike about the product?
Nothing found yet. If pushed I'd say that there's been one occasion where dbt downtime meant I couldn't work when I had time set aside
What problems is the product solving and how is that benefiting you?
Keeping the db simple and documented for other users
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Amazing User Experience
What do you like best about the product?
Some of the best things about DBT include its ability to automate and streamline many typical data analysis tasks, its support for a wide range of data sources and destinations, and its intuitive, easy-to-use command line interface.
What do you dislike about the product?
One thing that was initially hard about DBT is that it can be hard to set up and configure, especially for users like myself who are new to data analytics and using command line tools
What problems is the product solving and how is that benefiting you?
DBT has benefitted me by allowing me to develop and manage my own data analysis pipelines more efficiently and effectively. By automating many typical data analysis tasks and providing a simple, intuitive interface for working with data, DBT can help me save time and effort when working with large or complex datasets.
dbt has allowed our small team to deliver outsized value
What do you like best about the product?
dbt has provided a framework for implementing a data pipeline that would have required 3x the resources previously. The integrations with Fivetran and Hightouch give us control and insight over the breadth of our data lifecycle that wasn't previously possible. Additionally, the integration with GitHub and built-in testing has allowed us a level of rigor that has dramatically increased the business' confidence in our data output.
What do you dislike about the product?
We primarily use dbt cloud, and the interface has sometimes been slow and a bit 'clunky' - although the latest release shows promise in resolving some of those concerns! Additionally, it would be great in the future for some tools that help migrate existing SQL native pipelines into dbt.
What problems is the product solving and how is that benefiting you?
Before implementing dbt, we had transformation/logic living all across the organization (some in native source data systems, some in the Data Warehouse, in our reporting layers, etc.), with little to no oversight. dbt has allowed us to centralize and monitor all of that logic in one tool and provide validation via testing and code review via GitHub. The integrations between other tools in our stack (Fivetrand and Hightouch specifically) have saved us countless hours on modeling and development we would have had to do ourselves and allows us to focus on the 'last mile' and delivering value to stakeholders.
dbt for me has revolutionized the workflow around transforming data used for analytics
What do you like best about the product?
Dbt creates an entire streamlined workflow around transforming data from a source in a way that is best used for analytics
What do you dislike about the product?
Even though there is a lot of emphasis put on dbt cloud, the open source core version is still widely used.
What problems is the product solving and how is that benefiting you?
It is solving the problem of having an established workflow around transforming data for the purpose of analytics
Newbie to dbt
What do you like best about the product?
Easy to set up
SQL based
UI is intuitive
SQL based
UI is intuitive
What do you dislike about the product?
Lack of logs/metadata on job runs, the area around that isn't strong
What problems is the product solving and how is that benefiting you?
We are able to model our data for Looker outside of looker, so no need for PDTs etc
dbt modernizes my pipelines
What do you like best about the product?
I love how the types of materializations are well documented and presented as a journey toward various stages of dbt maturity - dont start with incrementals. I love how dbt is SQL driven, even when introducing macros.
What do you dislike about the product?
I can't seem to keep the dbt Cloud and dbt Core documentation separate when I arrive from a google search or forum. I would also love to talk about bringing dbt Cloud Enterprise into the GCP Marketplace to make it easier to recommend to my customers.
What problems is the product solving and how is that benefiting you?
dbt modernizes my data platform by enabling me to treat my data pipelines and warehouse as code, templates, and DAGs. Without dbt, I have to broaden my toolset to accommodate other non-SQL tools, which can lead to less DRY code.
dbt is amazing!
What do you like best about the product?
dbt is a great tool for creating declarative pipelines to transform data while making automation easy and intuitive. There are so many benefits to choosing dbt, but what I like best about dbt is integrating data quality checks in data pipelines.
What do you dislike about the product?
As the project gets larger and larger, so do the yml files and other project-level configuration files, which makes it less readable.
New dbt Cloud IDE usability features are essential to make this better. (Autocomplete, error checking etc.)
New dbt Cloud IDE usability features are essential to make this better. (Autocomplete, error checking etc.)
What problems is the product solving and how is that benefiting you?
dbt makes Git integration and CI/CD easier as we don't need to think about defining our frameworks for these. Also dbt packages are extremely helpful.
all the things I missed when working in data warehouse
What do you like best about the product?
integration with git
lineage
autogenerated documentation
templating possibilities
lineage
autogenerated documentation
templating possibilities
What do you dislike about the product?
adds complexity for users not familiar with git
lack of code formatting by default
lack of code formatting by default
What problems is the product solving and how is that benefiting you?
it allows collaboration for outside stakeholders
adds documentation and lineage, testing and source freshness
adds documentation and lineage, testing and source freshness
dbt is transformational (pun intended)
What do you like best about the product?
dbt is intuitive to learn and use. The community makes implementing dbt feel like joining some kind of social club where everyone just wants you to succeed which is so rare. The documentation makes it super simple to translate an idea into action.
What do you dislike about the product?
dbt makes writing code very accessible to people which is a double-edged sword. A lot of people new to dbt take a shoot first, ask questions later approach which leads to a lot of technical debt and cloud computing expense down the road.
What problems is the product solving and how is that benefiting you?
Cleaning data and translating business logic into version-controlled models to maximize the efficiency of the data team and deliver value faster.
dbt makes analytics engineerings great and fun
What do you like best about the product?
I love how it aligns with the analytics engineering practices and it can make our team do better analytics
What do you dislike about the product?
Since my team is using dbt CLI, I dislike that I have to test my queries on the data warehouse first and then change the code to use the Jinja template. It's like I'm doing the work twice.
What problems is the product solving and how is that benefiting you?
- It helps my team organize the code better and makes it able to reuse the existing models.
- The documentation and lineage graph the dbt generates save us a lot of time.
- The tests really make us more confident in data quality.
- The documentation and lineage graph the dbt generates save us a lot of time.
- The tests really make us more confident in data quality.
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