About
What is Dataiku?
Dataiku is an advanced data science and machine learning platform designed to help organizations harness the power of data to drive business growth and innovation. Its primary purpose is to provide a collaborative environment for data scientists, analysts, and business users to work together on data projects, enabling them to extract valuable insights, build predictive models, and make data-driven decisions.
Primary Purpose:
Dataiku simplifies and democratizes data science by enabling users of all technical levels to engage in data projects. It allows businesses to integrate, analyze, and leverage data efficiently, bridging the gap between technical and non-technical teams.
Target Audience:
Dataiku targets medium to large enterprises across various industries, such as finance, healthcare, retail, and manufacturing. It caters to data scientists, analysts, business leaders, and other professionals who require advanced analytics and machine learning solutions.
Problems Solved:
- Data Integration and Accessibility: Connects seamlessly with databases, data lakes, and cloud storage.
- Collaboration and Governance: Provides tools for teamwork and compliance, including version control and audit trails.
- Scalable Machine Learning: Supports building and deploying machine learning models at scale.
- User-Friendly Interface: Makes data science accessible to both technical and non-technical users.
- Industry-Specific Solutions: Offers pre-built solutions tailored to different industries.
Summary of Dataiku Software: Usability and Features
Usability:
- User-Friendly Interface: Visual interface for data manipulation and model building, suitable for non-technical users.
- Support for Multiple User Types:
- Data Scientists and Engineers: Advanced coding capabilities.
- Business Analysts: Simplified tools for non-coders.
- Data Engineers: Manage data pipelines and automate workflows.
- Integration with Popular Tools: Works with IDEs like Jupyter Notebooks, R Studio, and VS Code.
Features:
- Comprehensive AI & Machine Learning Capabilities:
- AutoML for simplified modeling.
- Deep learning support with TensorFlow and Keras.
- Data Preparation and Insights: Effortless data cleansing and visualization.
- Generative AI Functionality: Secure gateway for LLMs and AI assistants.
- AI Governance: Tools for compliance, bias detection, and risk management.
- Collaboration Tools: Facilitates teamwork across data projects.
- XOps: Manages the entire AI lifecycle from data to deployment.
Standout Functionalities:
- End-to-End Platform: Covers the entire data science lifecycle.
- Robust Experiment Tracking: Automatic tracking and diagnostics for modeling.
- Enterprise Scale Applications: Secure and scalable for large data workloads.
- AI-Powered Assistants: Enhances productivity with AI-driven tools.
Why Choose Dataiku Over Competitors?
Top Reasons:
- User-Friendly Design: Accessible to both technical and non-technical users.
- Comprehensive Platform: Covers data integration, analysis, modeling, deployment, and monitoring.
- Collaboration Features: Promotes teamwork and consistency.
- Scalability: Handles large data workloads effectively.
- Integration Capabilities: Works seamlessly with various tools and systems.
- AI and Machine Learning Support: Advanced tools for building and deploying models.
- Commitment to Innovation: Regular updates and new features.
- Positive User Feedback: Widely recognized and trusted by enterprises.
- Market Presence: Significant footprint in the data science industry.
Who is Dataiku Best Suited For?
Dataiku is well-suited for diverse user groups and excels in specific use cases:
| User Group | Description | Specific Use Cases |
|---|---|---|
| Beginners | Non-technical users such as business analysts who need to work with data without coding. | Data preparation, automation of repetitive tasks, and simple data visualizations. |
| Professional Data Scientists | Experienced professionals who build complex models and need advanced tools. | Advanced machine learning and deep learning models, AutoML for rapid prototyping. |
| Data Engineers | Users responsible for managing data pipelines and ensuring data quality. | Building and automating scalable data workflows and ensuring data governance. |
| IT Teams | Teams ensuring integration and security of data tools within the organization. | Managing enterprise-scale deployments, ensuring compliance, and monitoring AI governance. |
| SMBs (Small and Medium Businesses) | Organizations looking for affordable and scalable data solutions. | Data analytics to improve business operations, customer insights, and predictive analytics. |
| Large Enterprises | Companies with extensive data needs and cross-functional teams. | Enterprise-scale AI applications, data-driven decision-making, and operationalizing machine learning initiatives. |
Dataiku’s versatility, extensive features, and focus on collaboration and governance make it a top choice for organizations and individuals aiming to leverage data effectively.
Features
Comprehensive Reporting Capabilities in Dataiku
Dataiku software provides comprehensive reporting capabilities designed to support informed decision-making for businesses. It enables the tracking of key metrics related to datasets, models, and workflows. These metrics include data quality checks, success rates of machine learning models, and operational efficiency across projects. Automated reporting tools ensure that stakeholders can access up-to-date insights with minimal manual effort. The visuals and dashboards generated by Dataiku offer a clear presentation of complex data, allowing businesses to identify trends, monitor performance, and make data-driven decisions effectively.
Enhancing Functionality with Key Integrations
Dataiku includes a variety of integrations that enhance its functionality and streamline workflows. Some key integrations include:
- IDE Integrations: Seamless compatibility with development environments like Jupyter Notebook and RStudio.
- Plugins and Connectors: Dataiku offers connectors to a wide range of data storage systems, such as Hadoop, Amazon S3, and Google BigQuery.
- Machine Learning Capabilities: Integration with Python, TensorFlow, and scikit-learn for advanced modeling.
- Data Preparation Tools: Pre-built recipes for data cleaning, transformation, and enrichment.
- AI Governance: Tools for tracking and managing AI models across their lifecycle.
- XOps and Insights: Operational management solutions and business insights for better decision-making.
These integrations allow users to connect with existing systems and tools, enabling smoother operations and improved collaboration within data projects.
Accessibility through Mobile Applications
Dataiku does not currently offer dedicated mobile applications. However, its applications can be accessed via web browsers on mobile devices, providing essential functionalities for on-the-go users. Dataiku applications support self-service analytics, enabling users to perform tasks such as retrieving business insights, running analyses, and monitoring performance dashboards remotely. Although it lacks a dedicated mobile app, the browser-based accessibility ensures that mobile users can remain productive and informed while away from their primary workstations.
Streamlining Access with Single Sign-On
Dataiku supports Single Sign-On (SSO) through identity providers such as Okta, Azure Active Directory, and Google G.Suite. This feature simplifies user authentication by allowing access with a single set of credentials. It enhances security by supporting multi-factor authentication and centralized user management, reducing the risk of unauthorized access. For businesses, SSO improves operational efficiency by minimizing the time spent on password management and login processes.
Optimizing Workflows with Automation Features
Dataiku excels in automation, offering tools like Join Recipes, Prepare Recipes, Group Recipes, and Scenarios. These automation features streamline data workflows by reducing manual intervention. For example, Scenarios allow users to schedule and automate tasks like data preparation and model training, saving time and minimizing errors. Automation enables teams to focus on strategic analysis while ensuring consistent and efficient execution of repetitive tasks.
Ensuring Security and Compliance
Dataiku employs robust security measures to protect data and privacy. Key aspects include:
- Information Security Program: Protects sensitive data with a focus on availability and risk minimization.
- Deployment Methods: Offers self-managed and SaaS options, each with specific controls to secure client data.
- Compliance: Adheres to GDPR and has achieved SOC 2 Type II certification, along with ISO certifications (27001, 27701, and 9001).
- Privacy Practices: Ensures data processing adheres to global regulations, including GDPR and CCPA.
These measures demonstrate Dataiku’s commitment to maintaining a secure environment for users while fulfilling compliance requirements.
Unlocking Potential with API Capabilities
Dataiku provides a powerful API that enables programmatic interaction with its functionalities. Key features include:
- API Deployment: Supports infrastructure management for deploying API services using Kubernetes or external platforms like AWS Sagemaker and Google Vertex AI.
- API Connect Plugin: Facilitates calls to external REST APIs, supporting various authentication methods.
- Customizable API Calls: Allows tailored interactions with REST APIs, enhancing flexibility and integration possibilities.
- Documentation and Support: Offers extensive resources for leveraging the API effectively.
These capabilities allow users to integrate Dataiku with existing systems, customize workflows, and enhance the overall efficiency of data operations.
Deployment Options for Diverse Needs
Dataiku offers both cloud-based and on-premises deployment models, each with unique advantages and disadvantages:
- Cloud-Based Deployment:
- Pros: Cost-effective, scalable, low maintenance, and accessible remotely.
- Cons: Ongoing costs, potential data security concerns, and limited control over infrastructure.
- On-Premises Deployment:
- Pros: Greater control, enhanced data security, and a one-time investment.
- Cons: High upfront costs, responsibility for maintenance, and challenges in scaling.
These options allow organizations to choose the deployment model that best aligns with their budget, security needs, and operational preferences.
In conclusion, Dataiku offers a comprehensive suite of features that cater to the diverse needs of data professionals and organizations. From robust reporting and integrations to advanced security and deployment options, it serves as a versatile platform for data-driven decision-making and operational excellence.
Location
Locations and Branches
| Location Type | Address | Country | Notes |
|---|---|---|---|
| Headquarters | [Research Required] | [Research Required] | Main headquarters. |
| Branch | [Research Required] | [Research Required] | Example branch location. |
Support
| Support Type | Availability | Response Time/Hours | Notes |
|---|---|---|---|
| [Research Required] | [Research Required] | Support availability. | |
| Phone | [Research Required] | [Research Required] | Support availability. |
| Chat | [Research Required] | [Research Required] | Support availability. |
Note: The necessary research needs to be completed to fill in the tables above.
History and Team
Year Founded
Dataiku was founded in 2013.
Number of Employees
Dataiku currently employs more than 1,000 people worldwide.
Team
| Name | Position |
|---|---|
| Florian Douetteau | Co-Founder and Chief Executive Officer (CEO) |
| Clément Stenac | Co-Founder and Chief Technology Officer (CTO) |
| Marc Batty | Co-Founder and Chief Operating Officer (COO) |
| Thomas Cabrol | Co-Founder |
Pricing
Business Model of Dataiku
Dataiku is a leading SaaS (Software as a Service) company that provides a collaborative data science and machine learning platform. Their platform is designed to enable businesses to build, deploy, and manage AI and analytics projects seamlessly. Dataiku caters to a broad range of industries and businesses, emphasizing collaboration between technical and non-technical users to deliver data-driven insights.
The core aspects of their business model include:
- Collaboration: Dataiku fosters teamwork by enabling data scientists, analysts, and business users to collaborate on a unified platform.
- Scalability: Their platform is flexible and scalable, making it suitable for small teams as well as large enterprises.
- Integration: Dataiku supports integration with various data sources, tools, and programming languages to ensure compatibility with existing workflows.
- Automation: The platform emphasizes automation in data preparation, machine learning, and deployment, enhancing efficiency.
- Customization: Dataiku offers tailored solutions to meet specific business requirements.
Pricing Plans
Dataiku’s pricing structure is designed to cater to different user needs, ranging from individual exploration to enterprise-wide deployment. Below is a detailed table summarizing their pricing plans:
| Plan | Description | Users | Features |
|---|---|---|---|
| Free Edition | Installed on your infrastructure. | Up to 3 users | – Prepare data and build basic data projects and apps (no deployment, automation, governance) |
| Free Trial | 14-day trial of the Dataiku Cloud. | Up to 2 users | – Fully managed by Dataiku on secure servers – Explore end-to-end Dataiku features |
| Paid Editions | Scale AI with enterprise-wide collaboration and features. | Tailored for teams | – Collaboration, governance, ops, and model deployment features – Hosted or self-hosted |
Additional Notes:
- Free Trial: Users can start exploring Dataiku with a fully managed setup for 14 days.
- Paid Editions: Tailored offerings can be customized based on business size and needs, allowing for extensive collaboration and enterprise features.
- Dataiku Cloud is designed to facilitate the creation of insights and predictions with built-in data connectors and integrations.
For further details, visit Dataiku’s pricing page.
Funding and market
Industry
Dataiku operates in the data science and artificial intelligence (AI) industry. This industry encompasses various activities, including data preparation, machine learning, predictive analytics, and AI governance. It serves sectors such as finance, healthcare, retail, telecommunications, and manufacturing. Companies in this industry aim to leverage data for insights, decision-making, and innovative AI applications.
Dataiku specifically caters to large enterprises and medium-sized businesses, focusing on integrating data science into daily operations. The platform bridges the gap between technical and non-technical users, enabling collaborative projects to drive business outcomes. Dataiku’s services include generative AI tools, machine learning capabilities, data preparation, business intelligence insights, AI governance, and more, ensuring comprehensive support for its customers.
Market
Dataiku primarily targets large enterprises seeking to implement AI and machine learning solutions. The company serves over 700 customers, including 20% of the European Forbes Global 2000. By 2024, Dataiku expects to reach $300 million in annual recurring revenue, emphasizing its strong market position.
The AI market, where Dataiku operates, is projected to grow significantly, reaching $390 billion by 2025. Within the data visualization market, Dataiku holds a 0.20% market share, competing with players like Microsoft Power BI and Tableau Software. Dataiku’s strong focus on innovation and governance positions it as a leader in the rapidly evolving AI space.
Funding
Dataiku has raised a total of $1.04 billion over 9 funding rounds. The funding details are as follows:
- Series A: $6.1M
- Series B: $11M
- Series C: $101M
- Series D: $100M
- Series E: $400M
- Series F: $204M
The most recent funding round, a Series F, occurred on November 25, 2022, where Dataiku raised $204 million, bringing their post-money valuation to $3.7 billion. This robust funding trajectory highlights investors’ confidence in Dataiku’s potential and growth.
Stocks
Dataiku remains a privately held company and is not publicly traded, meaning it does not have a ticker symbol. Ownership of the company lies with its founders, management, employees, and private investors. Despite its private status, Dataiku’s valuation of $3.7 billion as of December 2022 underscores its significant market position.
While there is no announced plan for an IPO, Dataiku has been active in secondary markets, enabling accredited investors to trade its shares through platforms like Nasdaq Private Market and EquityZen. This private ownership model allows Dataiku to maintain autonomy while scaling its operations within the AI sector.
For further details, you can refer to their official website Dataiku or explore credible sources like Crunchbase for funding specifics.
Latest news
Latest News and Updates About Dataiku
Dataiku Awarded 2023 AWS Global ISV AI/ML Partner of the Year Award
On November 28, 2023, at AWS re:Invent 2023 in Las Vegas, Nevada, Dataiku was honored with the 2023 AWS Global ISV AI/ML Partner of the Year Award. This prestigious recognition underlines Dataiku’s pivotal contributions to artificial intelligence (AI) and machine learning (ML) innovation on Amazon Web Services (AWS). The award also highlights Dataiku’s leadership in integrating AI and ML capabilities into everyday business operations.
Dataiku’s platform enables seamless connections to data sources like Amazon S3, Amazon Redshift, and Amazon RDS while leveraging AWS services such as Amazon SageMaker and Amazon Comprehend for accelerated AI workflows. The collaboration between Dataiku and AWS has resulted in scalable, enterprise-grade AI solutions with rapid ROI.
For more details: Read the full announcement here
Dataiku Recognized as a 3x AI Partner of the Year in 2023
In 2023, a year recognized globally as pivotal for AI, Dataiku cemented its status as a leader in the field by winning three major AI Partner of the Year awards:
- Snowflake Partner of the Year Award: Recognized for the third consecutive year for its excellence in enabling customers to succeed with AI.
- Databricks AI Partner of the Year Award: Celebrated for its contributions to accelerating AI adoption through innovative solutions.
- AWS Global ISV AI/ML Partner of the Year Award: Highlighted earlier, this award emphasizes Dataiku’s expertise in delivering impactful AI solutions on AWS.
This triple recognition underscores Dataiku’s role in driving enterprise success with its robust, scalable AI solutions.
For more details: Read about Dataiku’s achievements here
Dataiku’s Growth and Milestones
- Appointment of Lynne Oldham as Chief People Officer: In February 2024, Dataiku welcomed Lynne Oldham, a seasoned HR expert with leadership experience at Zoom and Stash, as its Chief People Officer. She aims to scale the organization while fostering inclusivity.
- Launch of Dataiku Optimizer for Snowflake: In January 2024, Dataiku introduced the Dataiku Optimizer for Snowflake, a native app designed to improve the management and performance of Snowflake services within Dataiku projects.
- Surpassing $300 Million Annual Recurring Revenue: Dataiku achieved a significant growth milestone by surpassing $300M in ARR. This achievement highlights the company’s rapid growth and increasing adoption of its Universal AI platform.
Future AI Trends and Recognition
- 2025 GenAI Trends Report: Dataiku released a comprehensive report on AI trends, emphasizing the rise of AI agents for autonomous task execution and their transformative business value.
- Gartner® 2024 Voice of the Customer Recognition: Dataiku was named a Customers’ Choice in the Gartner® 2024 Voice of the Customer report for Data Science and Machine Learning Platforms. This recognition highlights Dataiku’s commitment to customer satisfaction and innovation.
Conclusion
Dataiku continues to establish itself as a leader in the AI and ML space. With multiple awards, a growing customer base, and consistent innovation, the company is setting benchmarks for enterprise AI adoption. For in-depth details, visit the links provided above.
Search Trends
Dataiku Search Volume Analysis and Popularity Trends
Keyword Search Volumes for Dataiku
The following table showcases the search volumes for keywords associated with Dataiku:
| Keyword | Search Volume | Competition | Competition Index | Low Top of Page Bid | High Top of Page Bid | CPC |
|---|---|---|---|---|---|---|
| Dataiku | 12,100 | Low | 4 | $0.85 | $6.81 | $3.20 |
| Everyday AI | 480 | Low | 2 | $3.86 | $11.42 | Not Available |
| Collaborative Data Science | 30 | Low | 2 | Not Available | Not Available | Not Available |
| Enterprise AI | 2,400 | Medium | 37 | $8.09 | $36.45 | $21.04 |
Analysis of Popularity Trends
From the above data, the keyword “Dataiku” has the highest search volume (12,100), reflecting strong brand recognition. Other keywords like “Enterprise AI” (2,400) and “Everyday AI” (480) show moderate interest, indicating growing attention to the company’s focus areas.
Reasons for Popularity Trends
The recent updates and innovations by Dataiku have significantly impacted its popularity:
- Product Updates and Innovations:
- Dataiku regularly updates its platform with features aligned with market demands. For instance:
- Dataiku 13 introduced Multimodal ML, Universal Ops Updates, Generative AI (LLM Mesh Updates), and Governance Enhancements. These features cater to enterprise needs and advanced AI applications.
- Dataiku 12 focused on Generative AI, Uplift Modeling, and Enhanced Data Catalog, addressing the growing interest in AI and data management.
- These updates likely contributed to increased search volumes for keywords like “Dataiku”, “Enterprise AI”, and “Everyday AI”.
- Dataiku regularly updates its platform with features aligned with market demands. For instance:
- Focus on Collaborative and Enterprise AI:
- Dataiku’s emphasis on Collaborative Data Science and Enterprise AI resonates with businesses seeking AI-driven solutions. The introduction of tools like Code Studios and Feature Store further supports this trend.
- Keywords like “Collaborative Data Science” and “Enterprise AI” reflect this focus, although the former has a lower search volume.
- Generative AI Capabilities:
- With advancements in Generative AI (e.g., LLM Mesh Updates), Dataiku appeals to organizations exploring cutting-edge AI solutions. This aligns with global AI trends and bolsters its relevance.
Supporting Sources
For more details, explore the following links:
This comprehensive analysis illustrates Dataiku’s growing popularity driven by its innovative updates and alignment with enterprise AI needs. The search volume data and supporting sources validate these trends effectively.
Review
Customers
Notable companies and organizations using Dataiku software include:
- GE (General Electric): GE leverages Dataiku to implement machine learning models for predictive maintenance and operational optimization, enabling them to identify potential issues in machinery before they occur.
- Sephora: The beauty retailer uses Dataiku for customer segmentation and personalization, allowing them to create tailored marketing campaigns and improve customer experience.
- Regeneron: A pharmaceutical company, Regeneron employs Dataiku for drug discovery and clinical trial efficiency, utilizing advanced data analytics to accelerate the development of new treatments.
- BNP Paribas: This leading bank uses Dataiku for fraud detection and risk assessment, helping them to secure transactions and analyze financial risks effectively.
- Toyota: Toyota integrates Dataiku into its smart manufacturing initiatives, optimizing production processes and improving quality control through predictive analytics.
- Michelin: The tire manufacturer utilizes Dataiku for supply chain optimization and predictive maintenance of machinery, enhancing operational efficiency.
- Accenture: Accenture uses Dataiku to deliver data-driven solutions to their clients, focusing on analytics and AI-powered decision-making.
- Globant: A technology services firm, Globant leverages Dataiku for machine learning model development, improving operational efficiency and customer service.
- Cision: The media monitoring company uses Dataiku to analyze massive datasets for better media insights and monitoring.
- Tiger Global Management: A hedge fund, Tiger Global employs Dataiku for investment analytics, leveraging AI to gain insights and make data-driven investment decisions.
Alternatives
Below is a table summarizing alternative software options to Dataiku, including features, pricing, and target audiences:
| Alternative Software | Features | Pricing Model | Target Audience |
|---|---|---|---|
| DataRobot | Automated machine learning, model management, and deployment; supports various data sources. | Subscription-based; custom pricing | Enterprises, Data Scientists |
| Microsoft Azure ML | Collaborative drag-and-drop interface; integrates with Azure services; supports model deployment. | Pay-as-you-go, subscription | Enterprises, Developers |
| Google Cloud Vertex AI | Managed services for building ML models; offers training and prediction services. | Pay-as-you-go | Enterprises, Data Scientists |
| MathWorks MATLAB | High-level programming environment; numerical computation and visualization tools. | Subscription; tiered pricing | Engineers, Scientists |
| Amazon SageMaker | Fully managed service for building, training, and deploying machine learning models. | Pay-as-you-go | Developers, Enterprises |
| Alteryx | Data blending and advanced analytics capabilities. | Subscription-based | Business Analysts, Data Scientists |
| KNIME Analytics Platform | Open-source data analytics, reporting, and integration platform. | Free for open-source; enterprise pricing available | Data Analysts, Scientists |
| RapidMiner | Data preparation, machine learning, and predictive analytics; visual workflow designer. | Free tier available; subscription for advanced features | Data Scientists, Analysts |
| Tableau Prep | Data preparation tool for Tableau; helps clean and format data for analysis. | Subscription-based | Business Analysts, Data Scientists |
Sources:
- TrustRadius – List of Best Dataiku Alternatives & Competitors 2025
- Software Reviews – Machine Learning Platforms Top Dataiku Alternatives and Competitors
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