dbt
Developer(s)dbt-Labs
Initial releaseDecember 3, 2021 (2021-12-03)
Stable release
1.6.5 / October 2, 2023 (2023-10-02) [1]
Repository
Written inPython
Operating systemMicrosoft Windows, macOS, Linux
Available inPython
TypeData analytics, data management
LicenseApache License 2.0
Websitedocs.getdbt.com

dbt is an open-source command line tool that helps analysts and engineers transform data in their warehouse more effectively.[2]

History

It started at RJMetrics in 2016 as a solution to add basic transformation capabilities to Stitch (acquired by Talend in 2018).[3] The earliest versions of dbt allowed analysts to contribute to the data transformation process following the best practices of software engineering.[4]

From the beginning, dbt was open source.[5] In 2018, the dbt Labs team (then called Fishtown Analytics) released a commercial product on top of dbt Core.[6]

Funding

In April 2020, dbt Labs announced its Series A led by Andreessen Horowitz.[7] In November, dbt Labs announced its Series B led by Andreessen Horowitz and Sequoia.[8] And in June 2021, dbt Labs raised its Series C led by Altimeter, Sequoia, and Andreessen Horowitz.[9] In February 2022, the company raised $222 million for its Series D, at a $4.2 billion valuation [10]

Overview

dbt enables analytics engineers to transform data in their warehouses by writing select statements, and turns these select statements into tables and views. dbt does the transformation (T) in extract, load, transform (ELT) processes – it does not extract or load data, but is designed to be performant at transforming data already inside of a warehouse. dbt has the goal of allowing analysts to work more like software engineers, in line with the dbt viewpoint.[11]

dbt uses YAML files to declare properties. seed is a type of reference table used in dbt for static or infrequently changed data, like for example country codes or lookup tables), which are CSV based and typically stored in a seeds folder.

References

  1. ↑ "Release dbt-core v1.6.5 · dbt-labs/dbt-core". GitHub. Retrieved 10 Oct 2023.
  2. ↑ Atwal, Harvinder (9 December 2019). Practical DataOps: Delivering Agile Data Science at Scale. Apress. p. 223. ISBN 978-1-4842-5104-1.
  3. ↑ "Stitch is joining Talend". Stitch Data. 2018-11-07.
  4. ↑ "Goodbye RJMetrics, Hello Fishtown Analytics". dbt Blog. 2016-08-01.
  5. ↑ Cai, Kenrick. "Dbt Labs In Talks To Raise At $6 Billion Valuation, Six Months After Becoming A Unicorn". Forbes. Retrieved 2023-04-01.
  6. ↑ "Sinter Release Notes, August 2018: pull request builder, fine-grained GitHub permissions, and more". 2018-07-31.
  7. ↑ "Fishtown Analytics raises $12.9M Series A for its open-source analytics engineering tool". TechCrunch. 2020-04-22.
  8. ↑ "Fishtown Analytics raises $29.5M Series B for its data engineering platform". TechCrunch. 2020-11-11.
  9. ↑ "Of the Community, By the Community, For the Community". dbt Blog. 2021-06-30.
  10. ↑ Cai, Kenrick (24 Feb 2022). "VENTURE CAPITAL Dbt Labs Raises At $4.2 Billion Valuation, $2 Billion Less Than First Planned". Forbes. Forbes. Archived from the original on 11 May 2022. Retrieved 11 May 2022. The Philadelphia-based data analytics startup revealed Thursday that it had settled on a $4.2 billion valuation as part of a $222 million Series D funding round
  11. ↑ "dbt viewpoint".
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