-62%

est. 2Y upside i

Data & AnalyticsDevOps & InfraSeries B

Building out Dagster, the data orchestration platform built for productivity. Join the team that is hard at work, setting the standard for developer experience in data engineering.

Rank

#1540

Sector

Data Orchestration, Developer Tools

Est. Liquidity

~3Y

Data Quality

Data: Medium

Dagster operates in a large and growing market with a compelling open-source and commercial cloud offering, but faces significant competitive headwinds, as evidenced by a reported decrease in adoption rate.

Last updated: March 10, 2026

Bull (15%)+300%

Dagster's 'AI Driven Data Engineering' initiatives and superior developer experience drive significant adoption of Dagster Cloud, capturing market share from legacy systems and incumbents like Apache Airflow. Revenue scales to $100M+ by 2028, justifying a $1B+ valuation at a 10x+ revenue multiple, leading to a strong acquisition or IPO.

Base (50%)+80%

Dagster continues to grow steadily, expanding its customer base in the mid-market and some enterprise segments, but faces persistent competitive pressure from Databricks and Google Cloud. Revenue reaches ~$50M by 2028, resulting in a valuation of ~$450M (9x revenue multiple), providing a moderate return for equity holders.

Bear (35%)-60%

The reported decrease in adoption accelerates as dominant incumbents like Databricks and Google Cloud integrate and commoditize data orchestration features. Growth stalls, leading to a down round or acquisition at a significantly reduced valuation of $100M, wiping out most common stock value given the $49M liquidation preferences.

Est. time to liquidity~3.0 years

Preference Stack Risk

high

Investors hold $49M in liquidation preferences ahead of common shareholders. In an exit at or below $49M, common stock would receive little to nothing.

Dilution Risk

moderate

Expect 1-2 additional funding rounds before a liquidity event, which will likely dilute existing equity holders by an estimated 15-30%.

Secondary Liquidity

limited

Secondary liquidity is not actively available for Series B companies, though ad-hoc opportunities may arise for early employees or in later funding rounds.

Questions to Ask at the Interview

Strategic questions based on Dagster's data — designed to show you've done your homework.

  • 1

    Given the reported decrease in Dagster's adoption rate in the data orchestration category, how is the team thinking about differentiating and regaining market share against strong incumbents like Databricks and Apache Airflow, especially with the recent 'AI Driven Data Engineering' announcement?

  • 2

    With an estimated current revenue of $14M and a growing TAM, what are the key milestones and growth strategies for Dagster Cloud to significantly scale revenue and achieve a path to profitability over the next 2-3 years?

  • 3

    Considering the Series B funding and the typical timeline for venture-backed companies, what is the company's perspective on potential liquidity events (e.g., IPO or acquisition) for employees holding equity, and how does the preference stack impact common stock holders?

Community

Valuation Sentiment

Our model estimates -62% upside. What do you think?

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Disclaimer: This analysis is AI-generated and does not constitute financial or career advice. Always conduct your own due diligence.