Overall Winner: Dataiku·90/ 100
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DataikuWinner
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Dataiku vs Merantix

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 →
M
Merantix

🇩🇪 Germany · Adrian Locher

Series BML PlatformEst. 2016

Valuation

N/A

Total Funding

$30M

50
Awaira Score50/100

100-500 employees

Full Merantix Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Dataiku and Merantix 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. Merantix operates as an AI venture studio and holding company, building and investing in applied AI businesses across healthcare, mobility, and enterprise verticals from its Berlin base.

Dataiku carries a known valuation of $3.7B, while Merantix's valuation has not been publicly disclosed. On the funding side, Dataiku has raised $700M in total — $670M more than Merantix's $30M.

Dataiku has 3 years more market experience, having been founded in 2013 compared to Merantix's 2016 founding. In terms of growth stage, Dataiku is at Series F while Merantix is at Series B — a meaningful difference for investors evaluating risk and upside.

Dataiku operates out of 🇫🇷 France while Merantix is based in 🇩🇪 Germany, 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

MetricDataikuMerantix
💰Valuation
$3.7B
N/A
📈Total Funding
$700MWINS
$30M
📅Founded
2013
2016WINS
🚀Stage
Series F
Series B
👥Employees
1000+
100-500
🌍Country
France
Germany
🏷️Category
ML Platform
ML Platform
Awaira Score
90WINS
50

Key Differences

📈

Funding gap: Dataiku has raised $670M more ($700M vs $30M)

📅

Market experience: Dataiku has 3 years more (founded 2013 vs 2016)

🚀

Growth stage: Dataiku is at Series F vs Merantix at Series B

👥

Team size: Dataiku has 1000+ employees vs Merantix's 100-500

🌍

Market base: 🇫🇷 Dataiku (France) vs 🇩🇪 Merantix (Germany)

⚔️

Direct competitors: Both operate in the ML Platform market segment

Awaira Score: Dataiku scores 90/100 vs Merantix's 50/100

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 50/100
  • More established by valuation ($3.7B)
  • 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
M

Choose Merantix if…

  • Germany-based for regional compliance or proximity
  • Merantix operates as an AI venture studio and holding company, building and investing in applied AI businesses across healthcare, mobility, and enterprise verticals from its Berlin base

Users Also Compare

FAQ — Dataiku vs Merantix

Is Dataiku bigger than Merantix?
Dataiku has a disclosed valuation of $3.7B, while Merantix's valuation is not publicly available, making a direct size comparison difficult. Dataiku employs 1000+ people.
Which company raised more funding — Dataiku or Merantix?
Dataiku has raised more in total funding at $700M, compared to Merantix's $30M — a gap of $670M.
Which company has a higher Awaira Score?
Dataiku holds the higher Awaira Score at 90/100, compared to Merantix's 50/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 40-point gap that reflects meaningful differences in scale or traction.
Who founded Dataiku vs Merantix?
Dataiku was founded by Florian Douetteau in 2013. Merantix was founded by Adrian Locher in 2016. Visit each company's profile on Awaira for a full founder biography.
What does Dataiku do vs Merantix?
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. Merantix: Merantix operates as an AI venture studio and holding company, building and investing in applied AI businesses across healthcare, mobility, and enterprise verticals from its Berlin base. The company model combines internal company building through its Merantix AI Campus with minority stakes in portfolio AI companies, acting as both an operator and an investor in the Berlin AI ecosystem.\n\nThe company raised approximately $30 million in venture funding and has built multiple AI ventures including Vara, an AI mammography screening tool, and Merantix Momentum, an enterprise machine learning platform for industrial and logistics applications. Merantix operates the AI Campus Berlin, a physical hub for AI researchers and companies that has become one of Germany most active technology community spaces, hosting events and providing shared infrastructure for AI development teams.\n\nMerantix occupies a distinctive position in the German AI ecosystem as one of the few organisations combining venture studio operations with a physical AI campus model. The company competes with AI labs and applied AI consultancies for talent and clients while differentiating through equity-aligned co-building arrangements that align its interests with portfolio company success. Germany position as Europe largest economy and its strength in industrial and automotive sectors create a substantial home market for AI applications in manufacturing, logistics, and healthcare, sectors that Merantix portfolio companies target directly.
Which company was founded first?
Dataiku was founded first in 2013, giving it 3 years of additional market experience. Merantix was founded later in 2016. 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?
Dataiku has approximately 1000+ employees, while Merantix has approximately 100-500. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.
Are Dataiku and Merantix competitors?
Yes, Dataiku and Merantix 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.