AT A GLANCE

Databricks
Sea Group
2013
Founded
2009
San Francisco, California
HQ
Singapore, Singapore
$19 billion
Total Raised
$6.3 billion
Ali Ghodsi, Andy Konwinski, Arsalan Tavakoli-Shiraji, Ion Stoica, Matei Zaharia, Patrick Wendell, Reynold Xin
Founder
Forrest Li
Data Analytics
Type
Gaming
Private ($190B valuation)
Status
Public (NYSE: SE)

FUNDING HISTORY

Databricks

Series A2013
$14M raised
Series B2014
$33M raised
Series C2016
$60M raised
Series D2017
$140M raised
Series E2019
$250M raised$6.2B val.
Series F2020
$400M raised$6.2B val.
Series G2021
$1.0B raised$28.0B val.
Series H2021
$1.6B raised$38.0B val.
Series I2023
$500M raised$43.0B val.
Series J2024
$10.0B raised$62.0B val.
Series K2026
$5.0B raised$190.0B val.

Sea Group

Seed2009
$1M raised
Series A2011
$10M raised
Series B2014
$170M raised
Series C2016
$550M raised$3.5B val.
IPO2017
$884M raised$4.4B val.
Secondary Offering2018
$1.0B raised
Secondary Offering2019
$1.5B raised
Secondary Offering2020
$2.2B raised

BUSINESS MODEL

Databricks

Databricks runs on a consumption-based pricing model. Companies pay for the compute and storage they actually use on the Databricks platform, measured in "Databricks Units" (DBUs).

The more data you process, the more you pay. This is brilliant because it means revenue grows automatically as customers' data volumes grow — which in the age of AI, they always do.

The platform runs on top of the major cloud providers — AWS, Azure, and Google Cloud. Databricks doesn't own servers.

They're a software layer that makes those clouds dramatically more useful for data work. They take a margin on top of the underlying cloud compute costs, essentially acting as a "toll booth" between companies and their data.

They also pioneered the "lakehouse" architecture — a mashup of data warehouses (structured, fast querying) and data lakes (cheap, handles any data format). Before Databricks, companies had to maintain both.

The lakehouse collapses them into one system. This isn't just clever marketing — it genuinely saves enterprises millions in duplicate infrastructure.

Sea Group

Sea runs three distinct businesses under one roof, and the genius of the structure is how they feed each other.

Garena is the gaming division. It develops and publishes games — most famously Free Fire, which Sea built itself after years of just licensing other people's games.

Free Fire launched in 2017 and became a phenomenon in emerging markets. It's a battle royale game optimized for low-end Android devices and slow internet connections.

Exactly the phone most people in Southeast Asia, Latin America, and India actually own. Garena makes money through in-game purchases — skins, characters, seasonal passes.

At its peak, Free Fire had over 100 million daily active users.

Shopee is the e-commerce marketplace. It operates like a hybrid of Amazon and eBay — sellers list products, buyers purchase, Sea handles payments, logistics coordination, and marketing.

Shopee makes money through advertising, transaction fees, and value-added services for sellers. It's now the dominant e-commerce platform in Southeast Asia and has a significant presence in Brazil.

SeaMoney is the fintech arm. It offers mobile wallets, digital payments, buy-now-pay-later, and banking services through MariBank in Singapore.

The pitch is simple: hundreds of millions of people in Southeast Asia are unbanked or underbanked. Give them a mobile wallet tied to their Shopee account and they'll use it for everything.

It's the super-app play, executed patiently.

HOW THEY STARTED

Databricks

Databricks started as a research project at UC Berkeley's AMPLab around 2009. Matei Zaharia, a PhD student, was frustrated with how slow Hadoop MapReduce was for iterative machine learning workloads.

His answer was Apache Spark — an open-source engine that could process data up to 100x faster than MapReduce by keeping data in memory instead of writing to disk after every step.

Spark took off fast in the open-source community. By 2013, it was the most active open-source project in big data.

Zaharia and six Berkeley colleagues — Ali Ghodsi, Andy Konwinski, Arsalan Tavakoli-Shiraji, Ion Stoica, Patrick Wendell, and Reynold Xin — decided to build a company around it. They incorporated Databricks in 2013 with the idea that Spark was powerful but brutally hard to set up and manage.

The company would offer a managed cloud platform that made Spark accessible to data teams who weren't distributed systems engineers.

Their first product was essentially "Spark as a service" — a collaborative notebook environment where data scientists and engineers could write Spark jobs without managing clusters. The bet was that enterprises had massive data problems but not enough PhDs to solve them.

They were right.

Sea Group

Forrest Li moved from China to Singapore in 2005 to do his MBA at Stanford. He didn't go back.

In 2009, he founded Garena — which literally means 'Global Arena' — as an online gaming platform for Southeast Asia. The region was massively underserved.

Hundreds of millions of young, mobile-first users with low PC penetration but exploding smartphone adoption. Nobody was building for them.

Li saw that gap and went straight at it.

Garena started by licensing popular PC games — League of Legends, FIFA Online — and localizing them for markets like Indonesia, Thailand, Vietnam, and the Philippines. It was a straightforward licensing model, unglamorous, not the kind of thing that gets TechCrunch headlines.

But it worked. Garena quietly became the dominant gaming platform across Southeast Asia.

The company rebranded to Sea Limited in 2017 when it IPO'd on the New York Stock Exchange, raising $884 million. By then, Li had already launched Shopee in 2015 — an e-commerce marketplace — and SeaMoney, a digital payments and financial services arm, was taking shape.

Three businesses. One holding company.

The bet was that gaming would fund the others until they could stand on their own. That's exactly what happened.

HOW THEY GREW

Databricks

Databricks grew by being genuinely useful before being profitable. They contributed massively to Apache Spark's open-source ecosystem, which meant thousands of companies were already using Spark when Databricks offered to manage it for them.

The open-source-to-enterprise pipeline is the most powerful go-to-market motion in software.

They also bet big on partnerships. The Microsoft partnership was transformational — Azure Databricks became a first-party service on Azure, meaning Microsoft's sales force was effectively selling Databricks to every enterprise customer.

That single deal probably added billions in annual recurring revenue.

Acquisitions were strategic and well-timed. MosaicML in 2023 for $1.3 billion gave them proprietary AI training capabilities right when every enterprise wanted to build custom AI models.

Tabular in 2024 brought the creators of Apache Iceberg, another critical open-source data format. They bought the talent and the technology simultaneously.

Sea Group

The counterintuitive move was using gaming to subsidize e-commerce. Most tech companies pick a lane.

Sea used Garena's cash flows — which were enormous when Free Fire was at its peak — to fund Shopee's aggressive, money-losing expansion. They didn't need to raise debt or dilute shareholders to burn cash in new markets.

The gaming division was basically an ATM.

Free Fire itself was a masterclass in product-market fit. Instead of porting a premium game to low-end markets and watching it fail, Sea built a battle royale game from scratch that ran on 1GB RAM Android phones with patchy 3G connections.

The game was optimized for exactly the hardware that 800 million people in emerging markets actually owned. Nobody else was doing that.

Shopee's growth hack was localization taken to an almost absurd degree. They didn't just translate the app.

They hired local teams in every market, ran country-specific campaigns, integrated local payment methods, and partnered with local logistics providers. In Brazil, they ran Shopee-branded motorbike delivery.

In Indonesia, they integrated with hundreds of local courier companies. The playbook was: be more local than the locals.

The final piece was the flywheel. A Garena user downloads Free Fire, spends money on in-game items using SeaMoney's wallet, then starts buying physical goods on Shopee with the same wallet.

Three products, one ecosystem, one user. That's the compounding effect Li was building toward from day one.

THE HARD PART

Databricks

The elephant in the room is Snowflake. Both companies want to be the single platform where enterprises do all their data work, and the overlap is growing fast.

Snowflake started in SQL analytics and is pushing into data engineering and ML. Databricks started in data engineering and ML and is pushing into SQL analytics.

The collision is inevitable and expensive — both are spending billions on sales and R&D.

There's also the cloud provider threat. AWS, Azure, and Google Cloud all have their own data analytics services and could theoretically squeeze Databricks by making their native tools better or cheaper.

Databricks runs ON these clouds, which means their biggest partners are also their biggest potential competitors. It's the classic platform risk problem.

So far, Databricks has stayed ahead by innovating faster than the cloud providers' internal teams, but it's a race that never ends.

Sea Group

The post-pandemic collapse was brutal and nearly existential for the stock, if not the business. During COVID, Sea was the perfect story — gaming was up, e-commerce was up, digital payments were up.

The stock hit $372 in October 2021. Market cap touched $200 billion.

Sea was the most valuable company ever to come out of Southeast Asia.

Then the world opened back up. Free Fire's daily active users fell off a cliff as people left their homes again.

Garena had funded the empire, and now the empire's funding engine was broken. Sea lost its license to publish Free Fire in India after the Indian government banned Chinese-linked apps.

India had been a massive market. Gone overnight.

Sea responded by cutting costs aggressively — laying off staff, retreating from markets like France, Spain, Poland, and India where Shopee had expanded without yet reaching profitability. The stock fell from $372 to under $40 by early 2023.

A 90% drawdown. That's not a correction.

That's a reset.

The deeper challenge is structural. Shopee competes with Lazada (backed by Alibaba), TikTok Shop (which has exploded in Southeast Asia), and increasingly with Temu and Shein.

These are not small competitors. TikTok Shop in particular has disrupted the e-commerce landscape in Indonesia and Thailand faster than most analysts expected.

Sea has scale and local knowledge, but the fight for Southeast Asia's e-commerce market is far from over.

THE PRODUCTS

Databricks

Unity Catalog — a universal governance layer that lets companies manage permissions, lineage, and access control across all their data and AI assets in one place. Delta Lake — an open-source storage layer that brings reliability to data lakes with ACID transactions, schema enforcement, and time travel (yes, you can query your data as it existed at any point in the past).

Databricks SQL — a serverless SQL analytics product that competes directly with Snowflake on their home turf. Mosaic AI — their machine learning and generative AI platform, supercharged after acquiring MosaicML in 2023 for $1.3 billion.

Databricks Notebooks — collaborative workspaces where data teams write code, visualize results, and build pipelines together in real time.

Sea Group

Free Fire is the crown jewel — a mobile battle royale game with over 100 million daily active users at its peak, built specifically for low-end Android devices in emerging markets. It's been the most downloaded mobile game globally multiple times and remains dominant across Southeast Asia and Latin America despite declining from its COVID peak.

Shopee is Sea's e-commerce marketplace and the business with the highest long-term ceiling. It operates across Singapore, Malaysia, Indonesia, Thailand, Vietnam, Philippines, Taiwan, and Brazil.

It's consistently ranked the most-visited e-commerce site in Southeast Asia. The app includes livestream shopping, local seller tools, Shopee Pay, and Shopee Food in select markets.

SeaMoney — now operating as the financial services umbrella — includes ShopeePay (mobile wallet integrated with the Shopee checkout), SeaBank (a licensed digital bank in the Philippines and Indonesia), and MariBank (a digital bank in Singapore). The pitch is financial inclusion for the underbanked, backed by transaction data from Shopee.

WHO BACKED THEM

Databricks

Andreessen Horowitz led multiple early rounds and has been the longest-standing institutional backer. Microsoft made a massive strategic investment alongside the Azure Databricks partnership.

T. Rowe Price, Tiger Global, and Franklin Templeton participated in later growth rounds.

NEA was an early investor. The $10 billion Series J in 2024 valued the company at $62 billion and was led by Thrive Capital, with later rounds multiplying that several times over with participation from Andreessen Horowitz, DST Global, GIC, Insight Partners, and WCM Investment Management.

Sea Group

Sea went public in 2017 without needing a late-stage mega-round from the usual suspects. But it had institutional backing from early on.

Tencent is the most significant external shareholder — the Chinese gaming giant held a roughly 22% stake at various points, which gave Sea both credibility in gaming and a complicated geopolitical headache as anti-China sentiment grew in Southeast Asia and the U.S.

Naveen Tewari's General Atlantic and other growth equity funds participated in rounds before the IPO. Post-IPO, Sea attracted attention from large institutional investors including T.

Rowe Price, BlackRock, and various sovereign wealth funds drawn to the Southeast Asia growth story.

Masayoshi Son's SoftBank also took a stake — consistent with SoftBank's bet on emerging market consumer internet platforms. The Tencent relationship is the most interesting one because it's both a competitive asset (access to gaming IP and distribution) and a liability (political risk in markets sensitive to Chinese corporate influence).

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