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From data to AI: Your entire analytics and agent pipeline on one secure platform.
Dataiku is the universal AI platform for enterprises, orchestrating the entire lifecycle of data analysis, machine learning, and generative AI in a collaborative, secure environment.
Independent B2B performance index (0–100 points). It is calculated mathematically and without subjective influence from four verified pillars: company stability, aggregated feedback from publicly available online sources, documented compliance certifications, and operational transparency.
Headquarters
W 25th St 125, 10001 New York, United States
Employees
1200
Founded
2013
Management
Emma Herndon
Founded in 2013, Dataiku is a French-American technology company headquartered in New York with over 1,200 employees worldwide. With its "Universal AI Platform," the company offers a leading, collaborative orchestration layer for artificial intelligence (AI) and machine learning (ML). The platform enables companies across all industries—including finance, healthcare, and retail—to implement data projects efficiently and scalably. Dataiku covers the entire lifecycle of analytics and AI projects: from data preparation (data wrangling) and model development to deployment and continuous monitoring. A key advantage is the seamless integration of business intelligence, predictive modeling, and generative AI in a single, controlled environment. Thanks to an intuitive user interface that supports both low-code and full-code approaches, Dataiku promotes cross-team collaboration between data scientists, analysts, and business users. The platform is characterized by strict governance and compliance standards, as evidenced by certifications such as ISO 27001, ISO 27701, SOC 2 Type II, as well as compliance with GDPR and HIPAA. This ensures organizations always maintain full control over their data and models while driving innovation.
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User-friendliness & no-code/low-code interface
Collaborative workbench & cross-team collaboration
Comprehensive features for data science & machine learning
Governance, security & orchestration of AI projects
Customer reviews for Dataiku particularly highlight its user-friendly no-code/low-code interface, strong collaboration support, and broad coverage of data science and machine learning use cases. Key strengths include ease of use for different roles (analysts, data scientists, business departments), good governance and orchestration features, and the ability to manage complex AI projects enterprise-wide; criticism is mainly directed at the pricing model and occasionally at performance or scaling in very large setups. Dataiku is particularly suitable for medium to large enterprises looking for a unified, collaborative platform for data analytics and AI that integrates both technically skilled users and business departments.
AI-generated summary
Dataiku has introduced significant product updates aimed at scaling and securing the implementation of generative AI in enterprises. Through strategic partnerships with leading cloud providers such as AWS and Snowflake, data integration for global enterprise customers is significantly simplified. New governance and compliance features also enable organizations to seamlessly adhere to regulatory requirements during AI development. These developments underscore Dataiku's focus on providing an accessible, collaborative, and secure AI platform for diverse business departments.
Source: Publicly available product updates or press releases from Dataiku.
Since no social media mentions or datasets for Dataiku were provided for this analysis, a content evaluation is not possible. No statements can be made about specific topics, praise, criticisms, or open questions. The sentiment is therefore classified as neutral.
Source: Publicly available social media posts (X/Twitter, LinkedIn, Reddit) from the last 12 months. The opinions shown come from users and do not represent BenchTrust's assessment.
See Dataiku in action
Product Overview & Live Dataiku Demo | Dataiku Summit London 2025