Overall Winner: Dataiku·90/ 100
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DataikuWinner
VS

Dataiku vs G42

In-depth comparison — valuation, funding, investors, founders & more

Winner
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Dataiku

🇫🇷 France · Florian Douetteau

Series FML PlatformEst. 2013

Valuation

$3.7B

Total Funding

$700M

90
Awaira Score90/100

1000+ employees

Full Dataiku Profile →
G
G42

🇦🇪 UAE · Peng Xiao

PrivateML PlatformEst. 2018

Valuation

$10B

Total Funding

N/A

80
Awaira Score80/100

1000+ employees

Full G42 Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Dataiku and G42 compete directly in the ML Platform space, making this a head-to-head matchup within the same market segment. Dataiku builds a collaborative data science and machine learning platform that enables data teams, business analysts, and AI engineers to build, deploy, and monitor machine learning models within a single unified environment. G42 is an Abu Dhabi-based AI and cloud computing group backed by the Abu Dhabi royal family and Mubadala Investment Company, operating a portfolio of AI subsidiaries spanning cloud infrastructure, healthcare AI, smart city technology, genomics, and foundation model development.

G42 carries a valuation of $10B, which is 2.7x higher than Dataiku's $3.7B. Dataiku has raised $700M in disclosed funding.

Dataiku has 5 years more market experience, having been founded in 2013 compared to G42's 2018 founding. In terms of growth stage, Dataiku is at Series F while G42 is at Private — a meaningful difference for investors evaluating risk and upside.

Dataiku operates out of 🇫🇷 France while G42 is based in 🇦🇪 UAE, giving each a distinct home-market advantage. On Awaira's 0–100 composite score, Dataiku leads with a score of 90, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricDataikuG42
💰Valuation
$3.7B
$10BWINS
📈Total Funding
$700M
N/A
📅Founded
2013
2018WINS
🚀Stage
Series F
Private
👥Employees
1000+
1000+
🌍Country
France
UAE
🏷️Category
ML Platform
ML Platform
Awaira Score
90WINS
80

Key Differences

💰

Valuation gap: G42 is valued 2.7x higher ($10B vs $3.7B)

📅

Market experience: Dataiku has 5 years more (founded 2013 vs 2018)

🚀

Growth stage: Dataiku is at Series F vs G42 at Private

🌍

Market base: 🇫🇷 Dataiku (France) vs 🇦🇪 G42 (UAE)

⚔️

Direct competitors: Both operate in the ML Platform market segment

Awaira Score: Dataiku scores 90/100 vs G42's 80/100

Which Should You Choose?

Use these signals to make the right call

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Choose Dataiku if…

Top Pick
  • Higher Awaira Score — 90/100 vs 80/100
  • Stronger investor backing — raised $700M
  • More market experience — founded in 2013
  • France-based for regional compliance or proximity
  • Dataiku builds a collaborative data science and machine learning platform that enables data teams, business analysts, and AI engineers to build, deploy, and monitor machine learning models within a single unified environment
G

Choose G42 if…

  • More established by valuation ($10B)
  • UAE-based for regional compliance or proximity
  • G42 is an Abu Dhabi-based AI and cloud computing group backed by the Abu Dhabi royal family and Mubadala Investment Company, operating a portfolio of AI subsidiaries spanning cloud infrastructure, healthcare AI, smart city technology, genomics, and foundation model development

Users Also Compare

FAQ — Dataiku vs G42

Is Dataiku bigger than G42?
By valuation, G42 is the larger company at $10B versus $3.7B — a 2.7x difference. Size can also be measured by team: Dataiku employs 1000+ people while G42 has 1000+ employees.
Which company raised more funding — Dataiku or G42?
Dataiku has raised $700M in disclosed funding across 0 known rounds. G42's funding history is not publicly available.
Which company has a higher Awaira Score?
Dataiku holds the higher Awaira Score at 90/100, compared to G42's 80/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 10-point gap that reflects meaningful differences in scale or traction.
Who founded Dataiku vs G42?
Dataiku was founded by Florian Douetteau in 2013. G42 was founded by Peng Xiao in 2018. Visit each company's profile on Awaira for a full founder biography.
What does Dataiku do vs G42?
Dataiku: Dataiku builds a collaborative data science and machine learning platform that enables data teams, business analysts, and AI engineers to build, deploy, and monitor machine learning models within a single unified environment. The Paris-founded company platform covers the full ML lifecycle from data preparation and feature engineering through model training, deployment, and governance, supporting both code-based and visual, low-code workflows to serve teams of varying technical sophistication.\n\nThe company raised approximately $700 million including a $400 million Series F led by Tiger Global and ICONIQ Growth, reaching a valuation of $3.7 billion. Dataiku counts over 600 enterprise clients globally including Unilever, GE, Sanofi, and the US Army Corps of Engineers, and reports thousands of active practitioners using the platform daily. The company has offices in New York, London, Paris, Singapore, and Sydney, reflecting a global enterprise sales motion that has made it one of the largest pure-play ML platform vendors in the world.\n\nDataiku competes in the data science platform market against Databricks, SAS, KNIME, and H2O.ai. Its differentiation is the breadth of user personas it serves within a single platform, allowing collaboration between data scientists, ML engineers, and business domain experts without requiring separate tools. The company is considered one of Europe most successful enterprise AI software exports, with the majority of its revenue generated outside France and a valuation that places it among the top independent AI platform companies in the world. G42: G42 is an Abu Dhabi-based AI and cloud computing group backed by the Abu Dhabi royal family and Mubadala Investment Company, operating a portfolio of AI subsidiaries spanning cloud infrastructure, healthcare AI, smart city technology, genomics, and foundation model development. The group provides AI cloud services and applied AI solutions to government agencies and enterprises across the UAE and international markets, and has made significant investments in AI chip supply and data center infrastructure.\n\nGovernment-backed with a reported valuation exceeding $10 billion, G42 received a $1.5 billion strategic investment from Microsoft in 2024, giving Microsoft a significant stake and providing G42 with Azure cloud technology and global commercial partnerships. The group subsidiaries include CPH (cloud and AI infrastructure), Presight AI (big data analytics), and Bayanat (geospatial data), creating a vertically integrated UAE national AI platform spanning compute, data, and applications.\n\nG42 competes in the Middle East AI market while facing scrutiny from US government officials regarding its historical relationships with Huawei and Chinese technology companies, which led to restrictions on its access to advanced US AI chips. The Microsoft investment included commitments from G42 regarding technology governance and data security that addressed some of these concerns. The group position as a state-backed AI champion reflects UAE national AI strategy ambitions to establish Abu Dhabi as a global AI hub, with G42 serving as the primary vehicle for government-directed AI investment and deployment.
Which company was founded first?
Dataiku was founded first in 2013, giving it 5 years of additional market experience. G42 was founded later in 2018. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.
Which company has more employees?
Both Dataiku and G42 report similar employee counts of approximately 1000+. Team size is often a proxy for operational scale, though lean AI companies can punch well above their headcount.
Are Dataiku and G42 competitors?
Yes, Dataiku and G42 are direct competitors — both operate in the ML Platform space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.