B2B SaaS Provider
Dataiku vs RAW Labs
Structured technology and market comparison · 2026
Direct Feature Comparison
Dataiku · vs · RAW LabsEnterprise AI platform for governed analytics, machine learning and AI agents.
Enterprise platform for governed data APIs and AI workflows.
Analyze all overlapping signals and tech stacks for Dataiku and RAW Labs
Compare mutual enterprise clients, monetization models, live market signals, and partner networks directly in the interactive Knowledge Graph.
Comparison Analysis
What is the main difference between Dataiku and RAW Labs?
When comparing Dataiku and RAW Labs, both platforms operate within the Large Language Models (LLM) & AI and B2B SaaS Provider ecosystem. Dataiku is positioned as Enterprise AI platform for governed analytics, machine learning and AI agents, whereas RAW Labs focuses on Enterprise platform for governed data APIs and AI workflows. Decision-makers evaluate both solutions when orchestrating their commercial monetization and technology stack.
What are the top alternatives to Dataiku and RAW Labs?
When evaluating Dataiku and RAW Labs, enterprise buyers also consider other platforms in Large Language Models (LLM) & AI and B2B SaaS Provider. You can discover the full competitive landscape and evaluate other alternatives by viewing their respective footprint profiles on Polaris7.
How do the corporate scale, structure, and headquarters of Dataiku and RAW Labs compare?
Dataiku is headquartered in France (founded in 2013) with 1,001–5,000 employees. RAW Labs is based in Switzerland (founded in 2015) with 10–49 employees. Complete ownership, subsidiary trees, and corporate affiliations are documented across Polaris7.
Market Signals
Recent Market Signals & Activity: Dataiku vs RAW Labs
Documented market movements, strategic partnerships, product releases, and regulatory developments mapped across Polaris7.
Dataiku
Recent Signals
- ·Dataiku SAS Discovered
Discover Dataiku Agent Management: every agent on the record
Dataiku announced the launch of Dataiku Agent Management, a new product feature for managing AI agents, along with the announcement of the AI Success Frontrunner award winners.
- ·CMSWireAI
12,000 Attend Ai4 2026 to Discuss AI's Invisibility
The article reports on the Ai4 2026 conference in Las Vegas, which saw record attendance of over 12,000, up from 8,000 the previous year. Dataiku's keynote highlighted that 96% of enterprise leaders believe employees are using unsanctioned generative AI tools, and 80% of CIOs see their jobs at risk without measurable AI ROI. Pat Gelsinger argued that AI economics must improve dramatically, while Geoffrey Hinton, Fei-Fei Li, and Andrew Ng jointly endorsed AI regulation. The conference emphasized the need for AI governance, budget ownership, and cross-functional staffing. Speakers from Cisco, Nvidia, Uber, PayPal, and other companies discussed the shift from assistants to autonomous agents and the importance of accountable AI deployment.
- Ai4 2026 attendance exceeded 12,000, up from 8,000 the previous year.
- Dataiku's survey found 96% of enterprise leaders believe employees use unsanctioned generative AI tools.
- 80% of CIOs say their job is at risk without measurable AI ROI.
RAW Labs
Recent Signals
No recent market signals documented for RAW Labs in the current tracking window.
Compare their exact ecosystem overlaps.
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