Peltarion vs Dataiku

Dataiku has a disclosed valuation of $3.7B, while Peltarion's valuation is not publicly available, making a direct size comparison difficult. Dataiku employs 1000+ people.

Dataiku has raised more in total funding at $1B, compared to Peltarion's $30M — a gap of $970M. Combined, the two companies have completed 8 known funding rounds.

Dataiku leads with an Awaira Score of 90/100, while Peltarion sits at 40/100. That 50-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Peltarion was founded by Niklas Borg in 2004. Dataiku was founded by Florian Douetteau in 2013. Visit each company's profile on Awaira for a full founder biography.

Peltarion: Peltarion built a deep learning development platform that provided a visual, no-code interface for building and deploying neural network models, enabling data scientists and engineers to construct complex ML architectures through a drag-and-drop graph editor and deploy models via API without writing training code from scratch. The Stockholm company focused on making deep learning accessible to teams without specialist ML engineering expertise.\n\nThe company raised approximately $30 million in venture funding before being acquired by Palantir Technologies in 2021. The acquisition gave Palantir a deep learning platform capability to integrate into its Foundry and Apollo products, supplementing Palantir own data engineering and AI tools with visual model development workflows from the Peltarion team. Prior to acquisition, Peltarion had built a customer base among European enterprises and research institutions seeking to deploy custom neural networks without building internal ML engineering teams.\n\nPeltarion competed in the visual AI development market alongside obvious.ai, Fritz AI, and commercial platforms including Google Cloud AutoML. The acquisition by Palantir reflected a broader trend of large enterprise data companies acquiring specialist ML tooling startups to enhance their platform offerings. The Peltarion team integration into Palantir continued the company focus on making AI development workflows more accessible, but within the context of Palantir existing enterprise relationships rather than as an independent product. 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 over $1 billion in total funding including a $400 million Series E 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.

Peltarion got there first, launching in 2004 — that's 9 years of extra runway. Dataiku didn't arrive until 2013. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Peltarion has about 1-50 employees; Dataiku has about 1000+. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Peltarion and Dataiku compete in ML Platform, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.