dbt Labs
Financials
Estimates*
USD | 2021 |
---|---|
Revenues | 40.0m |
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
N/A | Corporate spinout | ||
* | $12.9m | Series A | |
$29.5m | Series B | ||
$150m Valuation: $1.5b | Series C | ||
* | $222m Valuation: $4.2b | Series D | |
Total Funding | €377m |
Recent News about dbt Labs
EditGetDBT.com is a cloud-based data management platform that caters to a wide range of companies looking to accelerate their data development process. This startup operates in the data analytics market, serving over 30,000 businesses across all major data cloud platforms.
The business model of GetDBT.com revolves around providing a platform that enables companies to streamline their data development lifecycle. It allows businesses to write business logic faster, improve code reusability, and onboard new data developers quickly. This is achieved through a declarative code style, modularity, macros, and comprehensive documentation of data products.
GetDBT.com also offers features that maintain governance and control of analytics code. It enables businesses to test their business logic, ensuring data quality, and proactively fix issues before they impact the business. This improved visibility allows companies to uncover inefficient spend on compute and integrate code changes quickly.
The platform is built for scale and complexity, preparing businesses for the challenges that come with data maturity. It offers features like team unification, process standardization, workflow extensibility, and flexibility with integrations and APIs from a robust partner ecosystem.
GetDBT.com makes money by offering its services on a subscription basis, with a 14-day free trial available for new users. The platform guarantees uptime, provides 24x7 business support, and adheres to service level agreements, ensuring reliable and consistent service for its users.
Keywords: Data Management, Cloud-Based Platform, Data Development, Business Logic, Code Reusability, Data Quality, Governance, Scale, Complexity, Subscription Model.