Overall Winner: Dataiku·90/ 100

Dataiku vs Scribble Data

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

Winner
D
Dataiku

🇫🇷 France · Florian Douetteau

Series FML PlatformEst. 2013

Valuation

$3.7B

Total Funding

$700M

90
Awaira Score90/100

1000+ employees

Full Dataiku Profile →
S
Scribble Data

🇮🇳 India · Arun Iyengar

SeedML PlatformEst. 2019

Valuation

N/A

Total Funding

N/A

35
Awaira Score35/100

10-50 employees

Full Scribble Data Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Dataiku and Scribble Data 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. Scribble Data builds a feature store and ML data pipeline platform that enables data science teams to define, compute, store, and serve machine learning features in a unified platform, addressing the significant engineering overhead of building and maintaining feature infrastructure for production ML systems.

Dataiku carries a known valuation of $3.7B, while Scribble Data's valuation has not been publicly disclosed. Dataiku has raised $700M in disclosed funding.

Dataiku has 6 years more market experience, having been founded in 2013 compared to Scribble Data's 2019 founding. In terms of growth stage, Dataiku is at Series F while Scribble Data is at Seed — a meaningful difference for investors evaluating risk and upside.

Dataiku operates out of 🇫🇷 France while Scribble Data is based in 🇮🇳 India, 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

MetricDataikuScribble Data
💰Valuation
$3.7B
N/A
📈Total Funding
$700M
N/A
📅Founded
2013
2019WINS
🚀Stage
Series F
Seed
👥Employees
1000+
10-50
🌍Country
France
India
🏷️Category
ML Platform
ML Platform
Awaira Score
90WINS
35

Key Differences

📅

Market experience: Dataiku has 6 years more (founded 2013 vs 2019)

🚀

Growth stage: Dataiku is at Series F vs Scribble Data at Seed

👥

Team size: Dataiku has 1000+ employees vs Scribble Data's 10-50

🌍

Market base: 🇫🇷 Dataiku (France) vs 🇮🇳 Scribble Data (India)

⚔️

Direct competitors: Both operate in the ML Platform market segment

Awaira Score: Dataiku scores 90/100 vs Scribble Data's 35/100

Which Should You Choose?

Use these signals to make the right call

D

Choose Dataiku if…

Top Pick
  • Higher Awaira Score — 90/100 vs 35/100
  • 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
S

Choose Scribble Data if…

  • India-based for regional compliance or proximity
  • Scribble Data builds a feature store and ML data pipeline platform that enables data science teams to define, compute, store, and serve machine learning features in a unified platform, addressing the significant engineering overhead of building and maintaining feature infrastructure for production ML systems

Users Also Compare

FAQ — Dataiku vs Scribble Data

Is Dataiku bigger than Scribble Data?
Dataiku has a disclosed valuation of $3.7B, while Scribble Data's valuation is not publicly available, making a direct size comparison difficult. Dataiku employs 1000+ people.
Which company raised more funding — Dataiku or Scribble Data?
Dataiku has raised $700M in disclosed funding across 0 known rounds. Scribble Data'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 Scribble Data's 35/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 55-point gap that reflects meaningful differences in scale or traction.
Who founded Dataiku vs Scribble Data?
Dataiku was founded by Florian Douetteau in 2013. Scribble Data was founded by Arun Iyengar in 2019. Visit each company's profile on Awaira for a full founder biography.
What does Dataiku do vs Scribble Data?
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. Scribble Data: Scribble Data builds a feature store and ML data pipeline platform that enables data science teams to define, compute, store, and serve machine learning features in a unified platform, addressing the significant engineering overhead of building and maintaining feature infrastructure for production ML systems. The platform reduces the time data teams spend on data wrangling and feature engineering by providing reusable feature definitions and automated pipeline orchestration.\n\nThe company is in early Seed stage with limited disclosed funding and targets data science teams at financial services companies, digital consumer businesses, and enterprise analytics organizations that run large-scale ML operations. Scribble Data positions its platform as infrastructure that shortens the path from model ideation to production deployment.\n\nFeature stores have emerged as a recognized production ML infrastructure category, with vendors including Tecton, Feast, and Hopsworks competing for enterprise adoption. Scribble Data's India-based team and pricing model target a segment of the market that cannot justify the cost of US-headquartered enterprise ML platform vendors, while still requiring production-grade feature management capabilities.
Which company was founded first?
Dataiku was founded first in 2013, giving it 6 years of additional market experience. Scribble Data was founded later in 2019. 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 Scribble Data has approximately 10-50. 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 Scribble Data competitors?
Yes, Dataiku and Scribble Data 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.