Generated from real user reviews
See Related User Reviews
Syed A.
Enterprise (> 1000 emp.)
4.0/5
"A Developer Friendly Transformation Tool"
What do you like about dbt?
I like best about dbt is how it brings a clean, developer‑friendly structure to analytics work. It makes modeling and transforming data feel organized
Scott J.
Small-Business (50 or fewer emp.)
4.0/5
"Reliable transformation practices at scale"
What do you like about dbt?
One thing that I find impressive about dbt is that it promotes discipline in writing of transformations. It transformed my approach towards the way I
See Related User Reviews
Syed A.
Enterprise (> 1000 emp.)
4.0/5
"A Developer Friendly Transformation Tool"
What do you like about dbt?
I like best about dbt is how it brings a clean, developer‑friendly structure to analytics work. It makes modeling and transforming data feel organized
Jay P.
Mid-Market (51-1000 emp.)
5.0/5
"Effortless Data Transformation with Easy Setup and Integration"
What do you like about dbt?
DBT is a data building tool that is very easy to setup, to use and we are using it every day for our data transformation. It is very easy to integrate
See Related User Reviews
Syed A.
Enterprise (> 1000 emp.)
4.0/5
"A Developer Friendly Transformation Tool"
What do you like about dbt?
I like best about dbt is how it brings a clean, developer‑friendly structure to analytics work. It makes modeling and transforming data feel organized
Josh K.
Small-Business (50 or fewer emp.)
4.5/5
"Structured data workflows made effortless with dbt"
What do you like about dbt?
The largest benefit of dbt to me is that it provides structure to data work. I use it regularly with the BigQuery and version control tools. The integ
See Related User Reviews
Syed A.
Enterprise (> 1000 emp.)
4.0/5
"A Developer Friendly Transformation Tool"
What do you like about dbt?
I like best about dbt is how it brings a clean, developer‑friendly structure to analytics work. It makes modeling and transforming data feel organized
Scott J.
Small-Business (50 or fewer emp.)
4.0/5
"Reliable transformation practices at scale"
What do you like about dbt?
One thing that I find impressive about dbt is that it promotes discipline in writing of transformations. It transformed my approach towards the way I
See Related User Reviews
Syed A.
Enterprise (> 1000 emp.)
4.0/5
"A Developer Friendly Transformation Tool"
What do you dislike about dbt?
I dislike about dbt is that some parts of the workflow can feel a bit inflexible, especially when you're trying to customize how tests or models behav
Scott J.
Small-Business (50 or fewer emp.)
4.0/5
"Reliable transformation practices at scale"
What do you dislike about dbt?
What I do not like about dbt is that there is a huge effect of little errors in the models. Some of them may break down under the pressure of having a
See Related User Reviews
Syed A.
Enterprise (> 1000 emp.)
4.0/5
"A Developer Friendly Transformation Tool"
What do you dislike about dbt?
I dislike about dbt is that some parts of the workflow can feel a bit inflexible, especially when you're trying to customize how tests or models behav
Josh K.
Small-Business (50 or fewer emp.)
4.5/5
"Structured data workflows made effortless with dbt"
What do you dislike about dbt?
The negative side about dbt is that it becomes rigid when projects expand. Minor modifications in some cases need more readjustments than anticipated,
See Related User Reviews
Atharva P.
Enterprise (> 1000 emp.)
4.5/5
"Streamlined Data Transformations with Room for Debugging Improvement"
What do you dislike about dbt?
One of the pain points is debugging and error troubleshooting. Error messages can really be vague, making it difficult to pinpoint which part of the c
James M.
Small-Business (50 or fewer emp.)
4.5/5
"We finally found a solution for easier management of data models"
What do you dislike about dbt?
The thing I dislike with dbt is that it may be difficult to troubleshoot model errors. The features are good, and error messages are not always helpfu
See Related User Reviews
Scott J.
Small-Business (50 or fewer emp.)
4.0/5
"Reliable transformation practices at scale"
What do you dislike about dbt?
What I do not like about dbt is that there is a huge effect of little errors in the models. Some of them may break down under the pressure of having a
Atharva P.
Enterprise (> 1000 emp.)
4.5/5
"Streamlined Data Transformations with Room for Debugging Improvement"
What do you dislike about dbt?
One of the pain points is debugging and error troubleshooting. Error messages can really be vague, making it difficult to pinpoint which part of the c
Cross Referencing of models, Macros and custom functions Review collected by and hosted on G2.com.
Error Messaging and no cross-query functionality Review collected by and hosted on G2.com.
Its simplicity and focus on transforming data in a reproducible and maintainable way. Review collected by and hosted on G2.com.
Sometimes, its learning curve can be steep for beginners and managing complex transformations might require advanced knowledge. Review collected by and hosted on G2.com.
we can create maintainable and scalable data infrastructure, making it easy for users to work with data. Transforming data becomes easy, which is why we use it in our projects. It also provides some standardized features. Review collected by and hosted on G2.com.
we cannot load data from the source, we can only use data present in data warehouses. New users may face difficulties while learning, and support from the community is not that good. Review collected by and hosted on G2.com.
DBT creates a new SQL-like syntax, use select statement and configuration file and headers to control behavior, make data model task more reliable and readable. Easy for data analysis with existing basic SQL knowledge. Review collected by and hosted on G2.com.
We can rarely go through all features in dbt, since it is too much. Solutions are sometimes duplicated. You can always find 2-4 ways to fulfill one purpose, and it can overwrite with each other. DBT integration with CI/CD is not easy, even in DBT cloud since file is the first citizen in dbt world. You can only have them tested in dbt project, even for only unit tests. Review collected by and hosted on G2.com.
Cloud.dbt has proven to be an invaluable tool for our data modeling and analytics needs. Its seamless integration with cloud platforms, user-friendly interface, and robust features have significantly streamlined our workflow. The platform's automation capabilities have allowed our team to focus more on deriving insights from data rather than dealing with intricate modeling processes. The collaborative environment enhances team productivity, making it a standout solution for organizations aiming to elevate their data analytics game. I use it daily. Review collected by and hosted on G2.com.
Remember me during sign in doesn't work. Review collected by and hosted on G2.com.
Best in-class SQLCentric tool providing ELT, orchestration with Lineage on the models. Make the development much easier and help to concentrate more on the Business. Review collected by and hosted on G2.com.
DBT only supports SQL and Python models for now, and being an ELT, reading from external sources will not be possible, which makes DBT very constrained and the libraries quite limited. Review collected by and hosted on G2.com.
Can perform transformation using SQL statement. Very easy to perform Review collected by and hosted on G2.com.
Nothing much......simple and easy to use Review collected by and hosted on G2.com.
I like the most in MetricFlow is, it will simplify the code governance with autogenerated SQL. It will pull metrics into downstream applications. And also I like the UI most. Review collected by and hosted on G2.com.
Need to introduce more new interesting features in frequent releases. Should increase support of the application as well. Also better to support new integrations. Review collected by and hosted on G2.com.
There's a lot that I really like about dbt, particularly in the way it automates so much of the 'grunt work' out of transforming data. It's now tough to imagine how we handled refreshing our data warehouse before dbt!
Specifically I am a fan of how dbt:Works out dependencies rather than you having to stay on top of which models need to be run before others
Automates testing, running tests on a schedule rather than when you remember to run the testing!
Handles version control, allowing you to keep track of changes
Provides a straightforward way of handling separate development and production environments, so you can see the impact of your changes before making them live
Has a very active community of Slack users and package developers Review collected by and hosted on G2.com.
This is quite minor, but with documentation it can be a bit onerous to keep .yml files up to date, as the formatting needs to be exact and it is not always obvious when something is wrong, for example, with the amount of tab spacing. Review collected by and hosted on G2.com.
dbt improves every facet of SQL transforms for analytics. My favorite features in order:
--Isolate each piece of business logic to a single model, ensuring that everything downstream inherits that definition.
--Build canonical fact tables, then combine those into report-ready aggregate marts. Once the fact tables are built, the time-to-data-mart is so fast.
--Automated testing for code and data quality
--Import code packages, either open source or private
--Managed interactive documentation Review collected by and hosted on G2.com.
The cloud IDE is still very much a work in progress. Already better than using a local IDE, but there are still enough quirks and bugs to be frustrating. Setting up a new project seems overly onerous--the same score of steps have to be done the same way, which seems like it could be just a copy/paste from a different project. Most implementations probably only have one project going, though, so that's a pain only us agency types feel. Review collected by and hosted on G2.com.
