dbt Platform
dbt LabsExternal reviews
199 reviews
from
and
External reviews are not included in the AWS star rating for the product.
dbt has become the backbone of my daily data workflows.
What do you like best about the product?
Every day I use dbt to convert raw data for it to be ready for analysis and I especially appreciate that it all involves only SQL and version control—no more messy scripts I like the feeling of writing simple queries and, at the same time, I enjoy the extra modularity and auto documentation. The tests and my transformations running concurrently provide me real confidence in the datasets I provide.
What do you dislike about the product?
When it comes to dbt, the learning curve is quite the challenge and it took me some time to figure out how to set the macros and organize the models in a tidy manner. The task of debugging is also quite a drag and since some of the error messages lack clarity, I end up spending a lot of time on logs. What is more, for large projects, the execution time can be rather long which can hinder the development flow.
What problems is the product solving and how is that benefiting you?
Finally dbt has solved the issue of maintaining the transformations within our team. No more custom code and ad-hoc scripts! I now have a single and unified and transparent process for building and managing pipelines and this has saved me hours and reduced the errors I make and given stakeholders more reliable data. I get to save time every single week!
DBT - From data science to product strategy
What do you like best about the product?
I liked that it completely the way my team and I interact with information. With DBT, I know our customers, usage metrics are accurate and consistent, and its fantastic because it prioritizes functionality to validate our product hypotheses. I loved DBT because it relies on reliable data to make decisions.
What do you dislike about the product?
For team members unfamiliar with engineering workflows, doing so could be challenging.
What problems is the product solving and how is that benefiting you?
Its very useful and benefits us a lot because it takes data-driven product development seriously, and for me its great because it provides reliable analytics capabilities, and honestly, dbt is a worthwhile strategic investment.
We finally brought order to complex metric definitions
What do you like best about the product?
It is very nice that dbt gives us the capability to write out our transformation logic as application code. The process of integrating it with Git implies that our whole team may contribute to data models and track changes without hassles, and revert changes as well. Even the separation of the development and production environment out of the box is a tremendous advantage, so we can ensure that we are testing new things without necessarily influencing live reports. Lastly, the automated documentation generation process has made the data models so simple to comprehend, even to the business users, without ever having the touch a SQL.
What do you dislike about the product?
The initial set up of dbt can be a little fiddly at times and with a mix of operating systems and local database connections. It also lacks its own scheduler, so still we will require an external orchestration tool to carry out our data pipelines. The more advanced Jinja templating and macros proved to be more cumbersome to our team to learn than the simpler SQL.
What problems is the product solving and how is that benefiting you?
Our greatest weakness prior to dbt was inconsistent reporting amongst departments, this contributed to lack of numbers and big debates on the correct numbers between departments. Marketing could report a figure of new customer acquisition and sales could report an entirely different figure and that could slow down decision making. I we have one version controlled definition of all of our critical business metrics since dbt is in place. Such change came to mean that our leadership team trusts the figures implicitly and no longer spends so much time on reconciliation of numbers, but can actually analyze them.
DBT review
What do you like best about the product?
DBT is user friendly and helps keep our data reliable, updated and secure
What do you dislike about the product?
Upgrading from core is really expensive without there being any significant differences besides number of users
What problems is the product solving and how is that benefiting you?
DBT helps us build our models and keep them refreshed in our warehouse
Elevating Our Data Stack
What do you like best about the product?
dbt's ability to streamline data workflows is excellent
What do you dislike about the product?
While dbt is great, for extremely large datasets or highly complex transformations, native SQL compilation might still require deep optimization knowledge or workarounds to achieve peak performance
What problems is the product solving and how is that benefiting you?
Streamlining our data workflows and ELT process
DBT at my point of view
What do you like best about the product?
Data transformation logic can be expressed in SQL
Data can be transformed in batch
Ease to use, it has lot of good features similar in Django web application
Data can be transformed in batch
Ease to use, it has lot of good features similar in Django web application
What do you dislike about the product?
Joining multiple database types is not possible. Ie., combining two databases like oracle and mysql.
Persistent cluster is required for running the sql statements.
Like Presto/Hive it can’t be connected to BI Directly
Persistent cluster is required for running the sql statements.
Like Presto/Hive it can’t be connected to BI Directly
What problems is the product solving and how is that benefiting you?
Enables engineers to transform data in their data lakehouse using select statements in SQL.
Converts SQL select statements into Tables or Views
Supports DW process such as incremental, SCD etc.,
Graphical representation of pipelines
Converts SQL select statements into Tables or Views
Supports DW process such as incremental, SCD etc.,
Graphical representation of pipelines
We majorly use DBT cloud for ETL in the organization
What do you like best about the product?
It's simple, SQL based approach and easy to version control.
What do you dislike about the product?
Challenging to manage large scale and complex dependencies
What problems is the product solving and how is that benefiting you?
Since it's SQL based, its easy to manage ETL pipeline.
DBT(Data Build Tool) to build Excellent data models for Quickly and collaboratively
What do you like best about the product?
The most and best things i like in dbt are it not only helps in creating transformations but can also helps in managing and performing transformations in a view and integrates easily with Big-query
i can use and configure the transformation as per the object like table,view or incrementalalong with features like auto-generated lineage graphs and can perform native testing with few lines of codes in a YAML file and can able to re use them.
i can use and configure the transformation as per the object like table,view or incrementalalong with features like auto-generated lineage graphs and can perform native testing with few lines of codes in a YAML file and can able to re use them.
What do you dislike about the product?
There is not much about to dislike in dbt the reusable code can be little bit confusing and jumping from one branch to another can be frustrating
What problems is the product solving and how is that benefiting you?
DBT helped me and my team in testing data pipelines in local in house development
and Performing CI/CD pipeline tests along with data migration to targets like Bigquery.
and Performing CI/CD pipeline tests along with data migration to targets like Bigquery.
A game changer for dashboarding
What do you like best about the product?
You would feel really strange at first but after you start the integration will notice how easy to use it is. Great Documentation and community.
What do you dislike about the product?
The initial deployment is not ideal, and it would be beneficial to have a interface for dbt Core to support analysts who do not use Git on a daily basis but still take advantage of its benefits.
What problems is the product solving and how is that benefiting you?
Create an UI for some tools like dbt core that would help non tech people give a try to the product
It was good
What do you like best about the product?
To build reliable data models quickly and collaboratively
What do you dislike about the product?
It should be more accesible with more features
What problems is the product solving and how is that benefiting you?
Problems related with Data visualizations and optimizations
showing 21 - 30