We use the solution to deal with data transformations inside different organizations.
Data Engineer at Factored
Deal with data transformations with flexible learning curve and handle big data workloads
What is our primary use case?
How has it helped my organization?
You need some knowledge. Dbt has a more flexible learning curve than other tools. You need some experience to handle big data workloads but with less experience, you can get started.
What is most valuable?
They help us orchestrate different transformations. With Dbt, you can automate the orchestration of transformations without thinking too much.
What needs improvement?
SQL statements that beyond DML, are not possible. Currently, they are not possible in Dbt. Having more features in SQL statements will support us.
Another issue is the terms of data ingestion because Dbt requires sources to be defined, and you need to handle data ingestion with other tools. So having a data injection tool integrated within dbt will be awesome.
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June 2026
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For how long have I used the solution?
I have been using dbt for three years.
What do I think about the scalability of the solution?
It's very scalable because it's open source. You can spin up different EC2 or different compute instances to run VVT. We have 14 professionals using this solution. I rate it a nine out of ten.
How was the initial setup?
I store procedures calling within dbt statements. You can only use a selected statement in debt. If you want to use more advanced or more complicated SQL features, they are not supported right now by Dbt, so that can be a challenge.
What's my experience with pricing, setup cost, and licensing?
It is cheap because dbt is open source. If you compare the pay-per-service of Dbt with the open source option you can manage. We are managing the solution, when we were acquiring service from them. It was also cheap compared with the engineering cost that implies managing the the infrastructure.
What other advice do I have?
I have had the opportunity to teach one of the tools to level entry engineers because it's easy to learn and easy to maintain. It's pretty useful.
It depends on the architecture and the amount of company's data or the people that I'm going to advise. If you're starting a data engineering team and you don't have a lot of big data workflows, I would recommend Dbt. I recommend our tools for more advanced workflows but for starting, I recommend 100% Dbt.
Overall, I rate the solution a nine out of ten.
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
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Updated: June 2026
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