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Must-have tool for every analytics team
What do you like best about the product?
dbt formalizes software engineering best practices into our analytics workflow. Version control, data modeling, testing, documentation, etc. rolled into one toolkit that accommodates a big chunk of our data team's (and even a data engineer's) work. It's a life-changer, especially for diverse analytics teams whose members do not necessarily come from an engineering background.
What do you dislike about the product?
Nothing at all. The least favorable aspect I can think of is that the price for dbt Cloud is a bit high (per user), which may be prohibitive for larger teams who would like to test it out first without the need to measure ROI. Still, dbt-core is open-source and can be set up easily without purchasing subscriptions yet, so the price is not exactly a blocker.
What problems is the product solving and how is that benefiting you?
With dbt, we're able to clean and model our datasets flexibly. The main benefits are, our data engineers were able to focus on data integration, while our data analysts (who know our data better) were able to develop and maintain data models themselves. The flexibility in delegating the modeling work to our analysts has unlocked significant value, both in terms of data pipeline stability and the quality & usability of our downstream datasets.
Recommendations to others considering the product:
Just do it. Help your team be more productive.
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Very powerful tool
What do you like best about the product?
DBT is critical to my organization and so far the tool has been very simple to use. My favorite feature is the interactive flowchart! absolutely game changing
What do you dislike about the product?
I think editing in DBT could get a little confusing with the different steps that are needed to update the code.
What problems is the product solving and how is that benefiting you?
We use DBT to clean and transform our data before it is synced into our BI tool
Transform, materialize, and automate your data with ease!
What do you like best about the product?
DBT allows users to perform data engineer tasks in the language of SQL efficiently. In addition, the use of Jinja language allows for testing automation. DBT also has a community on Discord to further learning.
What do you dislike about the product?
Since DBT is new, the learning resources are not robust. Therefore, new users may have difficulty in knowing how to maximize efficiency. When the materialization fails, error messages are also not very descriptive.
What problems is the product solving and how is that benefiting you?
DBT allows our company to stay lean by giving the responsibilities of a data engineer to a data analyst. In addition, we can automate a good portion of our ELT process.
DBT Review
What do you like best about the product?
While running into a problem with creating an autorefresh cadence in Snowflake for a table I created, DBT was an alternative that I could use to help solve this issue.
What do you dislike about the product?
You have to pay for the software once you have more than one user. I understand everyone has a profit to be made, but I believe this tool should be 100% free for what it provides.
What problems is the product solving and how is that benefiting you?
I am using the tool to create an auto refresh cadence for a table I have created in Snowflake. DBT has made this process for us automated, which has been extremely helpful.
Great tool for Model creation and data transformation - DBT
What do you like best about the product?
DBT is one of the most straightforward command-line tools for data transformation. Creating tables or views with incremental strategies doesn't get easier than this.
What do you dislike about the product?
DBT doesn't have any data profiling features, and the auto-generated DBT documentation is not as user-friendly for non-technical users. Other than that, it's excellent with nothing to dislike.
What problems is the product solving and how is that benefiting you?
We use DBT for creating data models and implementing incremental strategies for data refreshes . DBT helps maintain DAG for the models and helps ensure correct dependency order for models.
Recommendations to others considering the product:
DBT is one of the easiest ways to create data models using simple SQL and easy-to-use config for incremental logic for data.
Dbt is one of the kind awesome tool for data build
What do you like best about the product?
The version control in dbt is fantastic , we can implement data tests for all possible failures and capture them . The cloud feature is great.
What do you dislike about the product?
There are very minor issues with DBT , the team is constantly working on improving it .
What problems is the product solving and how is that benefiting you?
Data security
Data Validation
Version controlling
CI/CD
Data Validation
Version controlling
CI/CD
Recommendations to others considering the product:
I would say dbt is incredible, The only tool dedicatedly built for transformation and data built. In the next few years all cloud computing companies will start using DBT.
best elt tools
What do you like best about the product?
ease of use and having control in you data pipline
What do you dislike about the product?
it has some feature limitations and also still not support all data warehouses
What problems is the product solving and how is that benefiting you?
our data pipeline monitoring and also controling
dbt Labs review
What do you like best about the product?
A comprehensive place to manage the application of business rules through SQL
What do you dislike about the product?
Missing some features, but the company is quite young so this is forgiveable
What problems is the product solving and how is that benefiting you?
Centrally managing the transformation of application data to business data
Great way to transform data
What do you like best about the product?
Easy to learn how to create models and tests. Very lightweight and quick run times.
What do you dislike about the product?
It can be cumbersome to host yourself - but there are good service providers to help you with that (like DBT Cloud).
What problems is the product solving and how is that benefiting you?
Taking raw data and transforming it into clean analytics tables. This allowed our reports to have significantly faster run time and reduces development time of our analtyics team.
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