Ali Ghodsi Co-founder and CEO, Databricks; computer scientist who helped start Apache Spark and Mesos at UC Berkeley Founder · Capital · $1–10B cost 3 headwinds 3

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Founder · Capital · Software · Artificial Intelligence · Technology · $1–10B

Ali Ghodsi

Co-founder and CEO, Databricks; computer scientist who helped start Apache Spark and Mesos at UC Berkeley · b. 1978 · Iran → Sweden → United States

class not establishedhousehold not establishedIran, then Sweden

Databricks

Cost of failure 3 / 10

soft landingnothing to catch a fall

Headwinds 3 / 10

clear runagainst the current

Two calls made by hand, not formulas. how we score →

Summary

Ghodsi was born in Iran and educated in Sweden, then moved from a KTH doctorate and a short lectureship to Berkeley's lab that produced Spark.

He joined Databricks in 2013 as a part-time engineer and became CEO in 2016. Forbes puts him at $7.6 billion, mostly a private stake. His childhood and how his family got to Sweden are not established here.

Coded record

industrySoftware · Artificial Intelligence · Technology

talentexceptional

connectionswell-connected

outcome size$1–10B · band 5

path typeFounder · Capital

childhood householdtwo-parent

immigrant generation1.5-gen

educationgraduate degree

credential fundingnone

startup capitalangel

took outside investmentyes

kept ownershipyes

public scrutinyjournalistic

ⓘ Hover any row for its definition.

Profiled colleagues

People in this set who share a company with Ali Ghodsi.

Mentioned in
Ion Stoica, Matei Zaharia

Subject cooperation: public-only · last reviewed 2026-10-20

Where they worked

Databricks Co-founder and Chief Executive Officer · 2013–now founder still there

How it happened

iIran to Sweden

Wikipedia says he was born in Iran in 1978 and calls him an "Iranian-Swedish-American" computer scientist; Swedish Wikipedia gives the date as December 8, 1978. Forbes lists his citizenship as United States and says he is also Swedish. Neither source says when or why his family left Iran, what his parents did, or what the household had. A search summary attributed that story to his own interviews, but the interviews themselves could not be opened for this review, so none of it is used.

iiSwedish degrees

Per Wikipedia he earned a master's in computer engineering and an MBA in logistics and strategic marketing from Mid-Sweden University in 2002, then a PhD in distributed computing at KTH Royal Institute of Technology in 2006, advised by Seif Haridi. Forbes lists the same three degrees. Who paid for the schooling is not established, and the coding here assumes Swedish public university study with no tuition, which is an inference.

iiiPeerialism and Berkeley

He co-founded Peerialism, a Stockholm peer-to-peer data company, and was a KTH assistant professor in 2008 and 2009, per Wikipedia. In 2009 he joined UC Berkeley as a visiting scholar, working with Scott Shenker, Ion Stoica, Michael Franklin and Matei Zaharia. Wikipedia credits him with helping start Apache Mesos and Apache Spark and co-inventing Dominant Resource Fairness. Spark itself was started by Zaharia at Berkeley's AMPLab in 2009, according to Wikipedia's Spark article.

ivDatabricks

Turning point

Databricks was founded in 2013, and Wikipedia lists seven founders: Ghodsi, Andy Konwinski, Ion Stoica, Patrick Wendell, Reynold Xin, Matei Zaharia and Arsalan Tavakoli. Its first round was $13.9 million led by Andreessen Horowitz. Forbes says he joined as a part-time engineer and was named CEO in 2016, when the company was struggling to generate revenue, and that he led a turnaround by reworking leadership and products. What separated him from the other co-founders was taking the operating job when it opened up. His own account of that choice is not established in the sources used.

vWhere it landed

On October 19, 2026 Forbes showed $7.6 billion and a real-time rank of 522, rated him self-made at 9, and said private investors valued Databricks at $190 billion in August. Wikipedia reports a round of $5 billion that closed in August 2026 and a $7 billion revenue run rate. The figure is an estimate of a private stake. How much of the company he owns is not established.

viLegal record

Wikipedia's Databricks article reports no litigation, employment disputes, securities issues or privacy matters. That is the absence of reporting in one summary source, and it is not a clearance.

Can you replicate their success?

Partly

The academic route was open to a strong student in Sweden at low cost: public universities, a doctorate, then a post at a leading US lab. The company step needed a place in the Berkeley group that built Spark, a founding team of seven, and investors willing to fund an open-source company into a very large business. Becoming CEO also depended on the company struggling and the board choosing a founder. His family circumstances are not documented, so how much a safety net mattered is unknown.

Required conditions

1 Research ability at the level of a leading systems lab

2 A seat in the group that created the technology

3 Co-founders and venture investors willing to back an open-source business

4 A company in difficulty that opened the chief executive job to a founder

The coded evidence

Thirteen groups, every claim sourced

Feeds cost of failure

Parent Occupations

Low

not established

Not established in sources opened. The household value in the coded block is a placeholder because the enum has no unknown option.

↗ en.wikipedia.org

Parent Education

Low

not established

Not established.

↗ en.wikipedia.org

Structural context

founder lens · venture capital

The cost-of-failure score comes from this person's own money and circumstances. But who they were in America carried its own weight, the same way their household or income did, and it shaped how hard the path was just as much. That part isn't in the cost-of-failure number. It's here instead.

tailwindman

Men founded the companies that took nearly all the venture funding and almost every top outcome, a tailwind that never shows up in one person's own circumstances.

↗ techcrunch.com

mixedimmigrant background

Immigrants and their children are overrepresented among America's biggest companies, as founders and as senior leaders. They got there through the visa, credential, and network hurdles that make the path harder to even start down.

↗ forbes.com

Among the people recorded here — men: 225. Representation here is who reached these outcomes, not equal odds of reaching them.