dbt Platform
dbt LabsExternal reviews
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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.
DBT is a very intuitive tool with advanced features that'll help scale your analytics teams
What do you like best about the product?
Breaking down reusable CTEs into separate tables/views increases scalability and consistency.
What do you dislike about the product?
Some of the config features like making tables incremental can be a little confusing and tough to get right on the first try.
What problems is the product solving and how is that benefiting you?
Allowing the Analtyics team be self-serve on typical engineering tasks. We are also able to dictate source-of-truth definitions by building the reusable CTEs
Very useful and easy to use.
What do you like best about the product?
I can create project and manage with git and also I can connect my db easily I can create secrets and manage them for each project.
What do you dislike about the product?
Actually I have nothing to this question.
What problems is the product solving and how is that benefiting you?
I can manage my data and connect to databeses
Powerful and Easy to Use ETL Tool
What do you like best about the product?
The best part of DBT is the power that comes with its ease of use. Once you play around with DBT a bit and get a handle on it, it can do all sorts of great tricks with just a SELECT statement and a little bit of Jinja.
What do you dislike about the product?
DBTs only weakness right now is I find the examples in the documentation to be a little simplistic, not covering all the options like the examples in a Microsoft help page would. Luckily, for more complicated use cases, you can get help in their Slack community, which is quite lively and helpful.
What problems is the product solving and how is that benefiting you?
DBT is helping us normalize several data sources together into one master model and then exposing slices of that master model in the form of views we base our exports on. We have over 2k models between putting the sources together and then sharing the slices.
Avid longtime customers
What do you like best about the product?
Foundational data modeling for reporting in external tools. Testing and data correctness framework. Data-as-code continious deployment and automation. Documentation.
What do you dislike about the product?
A lot of repretitive data crunching that is somewhat hard to eliminate. Even with incremental models, subsequent models still make a full data transform. More caching / incremental tools for downstream models would be appreciated.
What problems is the product solving and how is that benefiting you?
Customer data and behavioral analytics. Unifying data from multiple sources for ease of access. Creating snapshots and time series data from mutable tables in various sources.
Streamlines SQL Development
What do you like best about the product?
After years of working with cumbersome ETL flows, dbt's modular approach makes it simple to change only a small portion of a large process without breaking anything. Having version control with SQL is a game changer.
What do you dislike about the product?
There is a learning curve to working with dbt, like any new solution/process, but the upside is worth it.
What problems is the product solving and how is that benefiting you?
dbt's approach to making SQL code clean and DRY has greatly improved our workflow and code.
Fantastic SQL orchestrator that bridges the gap between analysis and programming
What do you like best about the product?
* All models, configurations and tests stored as version controlled code
* OSS as well as a managed SaaS-service
* Easily overviewable lineage & dependency trees
* OSS as well as a managed SaaS-service
* Easily overviewable lineage & dependency trees
What do you dislike about the product?
* There are some hidden complexities/nitty-gritty details you need to figure out before dbt becomes a powerful tool
* Parts of the documentation lack example(s) or have examples using legacy/old standards
* Parts of the documentation lack example(s) or have examples using legacy/old standards
What problems is the product solving and how is that benefiting you?
* dbt collects and orchestrates all transformations that before were scattered between analyst's own Drives, embedded within tooling or otherwise just laying around. I think this is one of the most powerful things dbt has done for us thus far.
Our time is exclusively dedicated to providing value with this tool as it's reliable and easy to use
What do you like best about the product?
* With inherited lineage, there is clarity in the transformation process.
* Doucmentation & tests easy to config
* The transformations require only SQL.
* Open source first approach
* Doucmentation & tests easy to config
* The transformations require only SQL.
* Open source first approach
What do you dislike about the product?
* Visualization of test results & jobs run time is lacking.
What problems is the product solving and how is that benefiting you?
* ease of use & visibility to the transformation process.
* don't waste time on infra
* don't waste time on infra
Jithendra Komhar DBT
What do you like best about the product?
1. Perfect way of representing the lineage of modes.
2.Easy navigation, good videos for learning about DBT tech stack
3. Excellent support for solving the issues
2.Easy navigation, good videos for learning about DBT tech stack
3. Excellent support for solving the issues
What do you dislike about the product?
1. It would be great if the trial period could be extended to 15 days instead of 8 days.
2. we need to run the models multiple times because of system errors from the dbt cloud. It would be great if it could be solved.
2. we need to run the models multiple times because of system errors from the dbt cloud. It would be great if it could be solved.
What problems is the product solving and how is that benefiting you?
We are dbt partners and working on some POCs like Informatica to DBT models to showcase how dbt can be leveraged.
we are partnersof DBT
we are partnersof DBT
dbt is currently the software I love most
What do you like best about the product?
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
--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
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
SQL transforms with daily code runs.
Deploying packaged code across multiple projects.
Monitoring code and data quality through daily automated testing.
Prepare raw data for business user consumption.
Deploying packaged code across multiple projects.
Monitoring code and data quality through daily automated testing.
Prepare raw data for business user consumption.
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