Fishtown Analytics, makers of an open source analytics engineering tool called dbt, raises $12.9M Series A led by a16z
"...more closely mirror the way the software engineers work and software engineers have been figuring this shit out for years and data analysts are still like sending each other Microsoft Excel docs over email." https://techcrunch.com/... @martin_casado : Very excited to be working with Fishtown Analytics, the creators of dbt, to build the best tooling and community for analytics engineering! https://techcrunch.com/... Lenny Pruss / @lennypruss : The highlight of this job is working with founders like @jthandy @drewbanin @connormcarthur and teams like @getdbt. We @AmplifyPartners are so excited to team up with our friends @a16z to support this special group on the next phase of their journey! https://techcrunch.com/...
Context & Ripple Effects
This April 2020 round is the moment Fishtown Analytics stops being a consultancy-adjacent open source project and becomes a venture-backed company: a16z leads the $12.9M Series A with Amplify Partners participating, betting that dbt can do for data analysts what version control did for software engineers. The thesis is explicitly cultural — analysts still pass Excel files over email while engineers solved collaboration decades ago.
What makes the round notable in hindsight is how fast the market validated it: within seven months Sequoia led a $29.5M Series B, and by mid-2021 the company had rebranded as dbt Labs and raised a $150M Series C at a $1.5B valuation.
First-order effects
- dbt gets the capital to hire and scale its open-source analytics engineering tool beyond its early user base, with a16z's Martin Casado publicly anchoring the investment around building 'tooling and community'.
- Amplify Partners' early position is now backed by a top-tier firm, resetting the company's fundraising trajectory and signaling to enterprises that dbt is a safe bet.
Second-order effects
- Sequoia's move to lead the next round just months later confirms the follow-on dynamic: once a16z validates an open-source data tooling category, rival firms compete to get into subsequent rounds rather than wait.
- Competing data-pipeline and BI vendors face pressure to adopt or integrate with dbt-style SQL-based workflows, since the funded incumbent is standardizing how analysts define transformations.
Third-order effects
- If the pattern holds, open-source developer tools with strong communities become some of the fastest compounding assets in enterprise software — the corpus traces the path from this $12.9M round to a $222M Series D at a $4.2B valuation in under two years.
- The 'analytics engineering' job category itself gets institutionalized: funding turns a workflow critique (Excel-over-email) into a named discipline with dedicated tooling budgets inside data teams.
The trend: Open-source infrastructure tools are compressing the path from seed-stage project to multi-billion-dollar platform, with tier-one VCs racing each other across successive rounds.