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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.
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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