Tableau vs Dataiku

by Gralio Apr 14, 2025

Tableau and Dataiku serve distinct analytical needs. Tableau prioritizes intuitive visual exploration, while Dataiku emphasizes building and deploying AI solutions. Tableau suits businesses seeking insights through data visualization, while Dataiku caters to organizations with advanced analytics and machine learning requirements.

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This comparison was created by analysing 4365 reviews and 60 websites, saving 1 day, 45 minutes of reading.

Logo of Tableau
Logo of Dataiku

About

Tableau is a popular data analytics platform that helps businesses make sense of their data. It offers powerful, user-friendly tools for visualizing data, creating interactive dashboards, and sharing insights across your organization. Tableau is suitable for companies of all sizes and is known for its intuitive drag-and-drop interface, even for non-technical users. It allows you to connect to various data sources, analyze information visually, and discover trends to make better business decisions.
Dataiku is a data science and machine learning platform that helps businesses build and deploy AI solutions. It offers tools for data preparation, visualization, machine learning, and model deployment, all in one place. Dataiku aims to make AI accessible to a wide range of users, from data experts to business users. It's used by companies of all sizes across various industries for applications like predictive maintenance, marketing optimization, and risk management. Dataiku is designed to help businesses scale their AI efforts and make data-driven decisions.

Summary

Main difference
Tableau excels in interactive data visualization and business intelligence, making it ideal for exploring and sharing data insights. Dataiku focuses on building and deploying AI solutions, catering to advanced analytics and machine learning needs.

Relative strengths of Tableau (compared to Dataiku)

  • Superior interactive data visualization and dashboards.

  • User-friendly interface suitable for non-technical users.

  • Strong community support and resources for learning and troubleshooting.

  • Wide range of integrations with various data sources

Relative weaknesses of Tableau (compared to Dataiku)

  • Limited machine learning capabilities compared to Dataiku.

  • Can be expensive, especially for smaller businesses with limited budgets.

  • Less flexible for advanced analytics and custom model development

What companies are using Tableau and Dataiku?

No data
Novartis is a customer
Novartis

Who is using Tableau and Dataiku?

Parikh Financial
Streamline Your Finances, Elevate Your Business.
No data

Who should use Tableau VS. Dataiku

Tableau empowers data professionals and business users to analyze and visualize data for informed decision-making. Its intuitive drag-and-drop interface makes it accessible to both technical and non-technical users. Users praise Tableau's performance and speed with large datasets, enabling efficient analysis. However, some users have noted concerns about cost and occasional slowdowns.

Dataiku is an AI platform empowering data professionals to build and deploy data science solutions. Users praise its user-friendly interface, collaboration features, and automation capabilities. However, some have noted performance issues with large datasets and a steep learning curve for advanced features. Dataiku is best for medium to large enterprises seeking a comprehensive data science solution.

  • Ideal for small, medium, and large businesses.

  • Suitable for most industries seeking data-driven decisions.

  • Best fit for medium to large enterprises (101+ employees).

  • Ideal for Manufacturing and Software/IT companies, suitable for Finance, Education, Media, Marketing, and Professional Services.

Tableau and Dataiku features

Supported
Partially supported
Not supported
Type in the name of the feature or in your own words tell us what you need

  • Drag and Drop Interface
    Supported

    Tableau offers a drag-and-drop interface for creating visualizations and dashboards.

    Partially supported

    Dataiku offers drag-and-drop for charts, but not for dashboard creation.

  • Community Support
    Supported

    Tableau offers community support with resources, training, and a forum.

    Supported

    Dataiku offers community support with resources, training, and a forum.

  • Generative AI tools
    Partially supported

    Tableau leverages Einstein Generative AI for enterprise use, but specific details on secure gateways and no-code to full-code tools are unclear.

    Supported

    Dataiku offers a secure gateway to LLMs, enabling enterprise-scale deployment of generative AI applications with no-code to full-code tools and AI assistants.

  • Interactive dashboards
    Supported

    Tableau allows incorporating interactive elements like filters, drop-down menus, and interactive tooltips. Users can drill down into data, use filters, parameters and custom calculations. It supports actions such as filter actions, highlight actions, and URL actions for dynamic interaction.

    Supported

    Dataiku allows creating interactive dashboards with filtering and drill-down capabilities.

  • Data Visualization
    Supported

    Tableau offers a wide range of charts and graphs, including pareto charts, stacked bar charts, line graphs, area charts, dual-axis combination charts, Gantt charts, and bullet charts, making it easy to visualize data.

    Supported

    Dataiku supports creating various charts and graphs for visualizing data.

  • Interactive charts and graphs
    Supported

    Tableau allows the creation of interactive charts and graphs, with features like filters, drill-downs, tooltips, and dynamic updates, facilitating data exploration and visualization.

    Partially supported

    Dataiku dashboards support filters and other interactive elements, but drill-downs and tooltips are not explicitly mentioned.

Qualities

  • Value and Pricing Transparency
    -0.85
    Strongly negative sentiment
    -1
    Strongly negative sentiment
  • Customer Service
    -0.14
    Neutral sentiment
    No data
  • Ease of Use
    +0.9
    Strongly positive sentiment
    +0.82
    Strongly positive sentiment
  • Reliability and Performance
    +0.35
    Rather positive sentiment
    -0.2
    Neutral sentiment
  • Ease of Implementation
    +0.6
    Rather positive sentiment
    +0.6
    Rather positive sentiment
  • Scalability
    +0.22
    Neutral sentiment
    No data

Tableau and Dataiku Pricing

Tableau offers different editions: Standard, Enterprise, and Tableau+. Tableau+ is only available on Tableau Cloud. All users on a deployment must use the same edition. Nonprofits may be eligible for discounts; contact sales for details.
Plans

User sentiment

Strongly negative
-0.85

See full Pricing page

Dataiku offers a Free Edition for up to 3 users with limited features, a 14-day Free Trial, and Paid Editions with enterprise-grade features and flexible hosting options.
Plans

User sentiment

Strongly negative
-1

See full Pricing page

Tableau and Dataiku review insights

4343 reviews analysed from and

Users love

  • User interface with exciting visualisation tools.
  • Works very well as a BI Reporting Tool.
  • Seamless Data Integration
  • The best part about Tableau is the performance and speed which enables me to analyze big data without any slowdowns.
  • User-friendly interface simplifies data management and analysis.
  • Excellent collaboration features.
  • Effective for building and refining project management documents.
  • Automates repetitive tasks like model deployment and report generation.
  • Intuitive UI enables business users to interact with data and perform advanced analytics.

Users dislike

  • Some time is slow and have some visualizations flexibilities issues.
  • The cost is what comes into my head when I first think of Tableau and the collaborations issues as it isn\'t smooth in the desktop version when cimpared to its competitor Power BI
  • Tableau can be expensive, especially for small businesses or individual users.
  • The Tableau trial period is too short, If they release the free version with limited features it would be beneficial for students to get hands-on experience.
  • Sluggish performance with large datasets.
  • Limited data visualization capabilities.
  • High processing charges.
  • Steep learning curve for advanced features.
  • Resource intensive, requiring robust hardware.

Tableau and Dataiku Ratings

  • G2
    4.4/5
    (2074)
  • Capterra
    4.6/5
    (2209)
  • Glassdoor
    4.1/5
    (18141)
  • G2
    4.3/5
    (48)
  • Capterra
    4.7/5
    (12)
  • Glassdoor
    3.6/5
    (489)

Company health

Employee growth

9% increase in the last year
7% increase in the last year

Web traffic

3% increase in the last quarter
49% increase in the last quarter

Financing

April 2022 - $65M
July 2022 - $847M

How do Tableau's interactive visualization features compare to Dataiku's dashboards?

Both Tableau and Dataiku offer interactive dashboards. Tableau is renowned for its highly interactive visualizations, allowing extensive drill-down, filtering, and exploration capabilities geared towards visual data discovery. While Dataiku also provides interactive dashboards with filtering and drill-down, its primary focus is on the broader data science and machine learning workflow, with visualizations playing a supporting role rather than being the central strength as in Tableau.

Which platform better supports collaboration between data scientists and business users?

Tableau is a better platform for collaboration between data scientists and business users. While Dataiku has some collaboration features, Tableau is known for its intuitive interface and focus on data visualization, making it easier for business users to understand and interact with data insights. Tableau's interactive dashboards and sharing capabilities further enhance collaboration by allowing users to explore data, create customized views, and communicate findings effectively across the organization.

What are the advantages of Tableau?

Tableau's advantages include its market-leading position in BI, a user-friendly drag-and-drop interface suitable for non-technical users, and robust data visualization capabilities with a wide array of charts and interactive features. It also benefits from a large and active community providing support and resources. While pricing may be a concern for some, Tableau's broad industry applicability and excellent fit for businesses of all sizes make it a compelling choice for organizations seeking to enhance data-driven decision-making.

What are the disadvantages of Tableau?

Tableau's pricing can be a significant barrier, especially for smaller businesses or individual users. Some users find performance issues with larger datasets and limitations in visualization flexibility. Additionally, the short trial period and lack of a free version with limited features can make it difficult for potential users to fully explore the platform's capabilities.

Is Tableau cheaper than Dataiku?

Tableau's pricing is transparent, with listed prices per user per month for different roles. Dataiku's "Paid Editions" pricing is custom, meaning it's not publicly available. Therefore, we cannot definitively say whether Tableau is cheaper than Dataiku without requesting a quote from Dataiku. While Dataiku offers a free version and free trial, these options have limitations, and the cost for a full-featured version is unknown.

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Page co-authored by
MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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