Enterprise data science startup Dataiku raises $100M Series D led by Stripes and Tiger Global Management
At a time when tech giants such as Google and Amazon are weaving artificial intelligence throughout their company fabrics, data remains siloed at many companies outside of tech … Tweets: @tech_eu and @peterbotting . Thanks: @davedonohue Tweets: Tech.eu / @tech_eu : French-born @dataiku, now based in NYC, raises $100 million in a Series D round led by Stripes and Tiger Global Management. The company was previously valued at $1.4 billion and did not disclose its new valuation, but said that it was “still a unicorn.” https://www.forbes.com/... https://twitter.com/... Peter Botting / @peterbotting : Impressive numbers! Right at the top of the fundraising pyramid. Love @fdouetteau 's language and the things he says. Get rid of restrictive silos! @dataiku https://twitter.com/... Thanks: @davedonohue
Context & Ripple Effects
Dataiku's path to this round runs through its $28M Series B in 2017, when the French-born, NYC-based company was still bolting deep-learning connectors onto its platform. Three years later it is raising ten times that from Stripes and Tiger Global, confirming unicorn status while declining to disclose an updated valuation.
The round lands mid-race with Boston rival DataRobot, which had already matched Dataiku's Series D size back in 2018 and kept escalating from there. Tiger Global's lead here also foreshadows its pattern of backing both sides: it later led Dataiku's $400M round at a $4.6B valuation and appeared in DataRobot's ~$250M raise at a ~$6B pre-money valuation.
First-order effects
- Dataiku gets $100M to push its collaborative data science platform deeper into non-tech enterprises whose data remains siloed away from giants like Google and Amazon that build AI in-house.
- Tiger Global adds Dataiku to its enterprise-AI portfolio alongside DataRobot, gaining exposure to both leading independent players in automated machine learning tooling.
Second-order effects
- DataRobot responds by out-raising its rival within months — a $270M round at a $2.7B valuation in November 2020 — turning the head-to-head into a fundraising arms race where round size signals category leadership.
- Crossover funds like Tiger Global become the pricing setters for the whole segment, compressing the window in which smaller venture-backed entrants can compete for enterprise ML budgets.
Third-order effects
- If the pattern holds, enterprise data science consolidates around two or three heavily capitalized platforms, with the same investors holding stakes across competitors — blurring the line between rivalry and portfolio management.
- The siloed-data problem the Forbes piece frames becomes the market: whoever owns the enterprise workflow layer between raw data and deployed models captures value that cloud giants' in-house AI stacks cannot easily reach.
The trend: Enterprise machine learning platforms are scaling through ever-larger crossover-fund rounds, with Tiger Global emerging as the common backer across the Dataiku–DataRobot rivalry.