dbt Labs
dbt Labs is a software company that develops dbt, an open-source and cloud-based analytics engineering platform that enables data teams to transform, test, and document data directly in the data warehouse. It serves analytics and data engineering teams at enterprises and high-growth companies, monetizing through its dbt Cloud SaaS offering, support, and enterprise features. The platform integrates with modern data warehouses and BI stacks to standardize SQL-based data transformation workflows.
- Data Integration & ETL
- Business Intelligence & Dashboards
- Revenue
- $120.0M
- Employees
- 600
- Founded
- 2016
- Headquarters
- New York City, United States of America
What 55 Arbolus experts think of dbt Labs
NPS scores are overwhelmingly positive, with the majority of experts rating dbt 8–10 and associating adoption with clear improvements in data quality, productivity, and governance. Renewal intent is high among the majority of enterprise customers, particularly those in advanced implementation stages and higher spend brackets. Stickiness is also strong, with over 80% of experts indicating long-term, multi-year adoption or expansion, and emphasizing dbt’s critical role in their analytics engineering workflows. Key expert themes highlight standardization, ease of integration, and improved workflow automation as major strengths, while scale-related complexity and cost are noted as watchpoints. Overall Customer Sentiment: Positive
Who reviewed dbt Labs
- C-Suite 48% (26)
- Director 40% (22)
- Manager 12% (7)
Employer names and spend open in the full report, along with the other 52 customers.
Everything 55 customers told us about dbt Labs.
Employer names, spend, renewal intent and every written answer behind the numbers on this page.
Sentiment
43 Net Promoter Score, from 55 scored reviews- Promoters 30
- Passives 19
- Detractors 6
Cumulative NPS by month
+0 over 6 months- May 8
- Jun 8
- Jul 8
- Aug 8
- Sep 8
- Oct 8
Net Promoter Score across 5 reviews, accumulated up to each month. Category median 29 across 5 companies.
Praised
- Expand AI-Assisted Development
- Deep Integration with Major Data Platforms
- Improved Cost Structure
- Standardization with Software Engineering Principles
Criticised
- Overlap with Native Data Platform Features
- Cost at Scale
- Complexity for Large Projects
- Complexity and Overlapping Capabilities
What customers say
Renewal intent
Plan to renew 87%Plan to renew, by seniority
- 85% 13 answers
- 93% 14 answers
- 67% 3 answers
- 100% 1 answer
- 8.4/10 Average score from customers who will renew
- 7.3/10 Average score from undecided customers
- 10/10 Average score from customers not renewing
Top alternatives
Most weighed by dbt Labs customersReport
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