dbt
dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines.
Average Rating: 4.7/5.0
Total Reviews: 208
How Do G2 Users Rate dbt?
- Data Management: 8.6/10 (Category avg: 8.7/10)
- Documentation management: 8.6/10 (Category avg: 8.2/10)
- Quality of Support: 8.8/10 (Category avg: 8.7/10)
- Template functionality: 8.4/10 (Category avg: 8.4/10)
Who Is the Company Behind dbt?
- Seller: Fivetran
- Year Founded: 2012
- HQ Location: Oakland, CA
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Twitter: @fivetran
5,767 Twitter followers -
LinkedIn® Page: www.linkedin.com
1,902 employees on LinkedIn®
Who Uses This Product?
- Who Uses This: Data Engineer, Analytics Engineer
- Top Industries: Information Technology and Services, Computer Software
- Company Size: 56% Medium, 27% Small
What Do G2 Reviewers Say About dbt?
AI-generated summary from verified user reviews
Pros
- Users find dbt's ease of use exceptional, with straightforward setup and intuitive features enhancing their data transformation processes.
- Users appreciate the maintainability and clarity of dbt's SQL code base, enhancing collaboration and data transformations.
- Users value the automation of data workflows with dbt, enhancing maintainability and collaboration in SQL transformations.
- Users love the ease of transforming data with dbt, allowing for organized and efficient analytics workflows.
- Users value the seamless integrations of dbt with various platforms, enhancing their modeling and transformation processes.
Cons
- Users find that dbt has limited functionality due to rigidness and complex debugging, hindering project progress.
- Users face dependency issues in dbt, as model errors and upstream changes complicate troubleshooting and disrupt workflows.
- Users find the steep learning curve of dbt daunting, needing mastery of concepts like Jinja and Git.
- Users encounter poor error handling with unclear messages, making troubleshooting frustrating and complicating the user experience.
- Users often face confusing error reporting and unclear messages, making troubleshooting and identifying issues challenging.
What Are Recent G2 Reviews of dbt?
"Simple SQL-Driven Materializations with Powerful Lineage"
Rating: 5.0/5.0 stars
— Anish G.
"dbt Streamlines Data Pipelines with Powerful Incremental and SCD2 Features"
Rating: 5.0/5.0 stars
— Hithesh P.
What Are G2 Users Discussing About dbt?
- What is DBT data Modelling? - 2 comments
- What is DBT technology? - 2 comments
- What is DBT database tool? - 1 comment
- What is DBT tool used for? - 2 comments
