Software Alternatives, Accelerators & Startups

Miro VS Dataiku

Compare Miro VS Dataiku and see what are their differences

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Miro logo Miro

Join Millions of users that collaborate from all over the planet using Miro. Experience the power of the #1 visual workspace for innovation. More than 100M users and 250,000 companies are collaborating on the canvas.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • Miro Miro AI - Userflows
    Miro AI - Userflows //
    2026-01-09
  • Miro Prototyping
    Prototyping //
    2026-01-09
  • Miro Prototyping
    Prototyping //
    2026-01-09
  • Miro Miro for UX
    Miro for UX //
    2026-01-09

Miro AI is the artificial intelligence layer built directly into the Miro collaborative workspace. It helps teams think, create, and execute faster by embedding AI into the same visual environment where collaboration already happens.

Rather than being a separate tool, Miro AI works contextually across the canvas, using existing content to support teams throughout the entire workflow โ€” from ideation to delivery.

What makes Miro AI valuable - AI embedded in the workspaceโ€จMiro AI operates directly on boards and canvas content, reducing context switching and making AI support immediately relevant to the work at hand. - AI Sidekicks (AI teammates)โ€จBuilt-in AI Sidekicks assist teams with ideation, planning, writing, and structuring content, acting as collaborative partners rather than isolated tools. - AI Flows for end-to-end workflowsโ€จAI Flows help guide and automate multi-step processes, enabling teams to move from idea to outcome more efficiently. - Content creation & refinementโ€จTeams can generate, edit, summarize, and refine text, visuals, and boards using AI โ€” saving time on repetitive or manual tasks. - Smarter collaboration at scaleโ€จMiro AI helps teams align faster by summarizing boards, extracting insights, and organizing information across large or complex projects. - Enterprise-ready & secureโ€จDesigned with governance and security in mind, Miro AI supports enterprise requirements while remaining accessible for everyday team use.

Who itโ€™s for Miro AI is especially useful for: - Product and project teams - Designers and creative teams - Marketing and content teams - Strategy, innovation, and operations teams - Organizations adopting AI for collaborative work

  • Dataiku Landing page
    Landing page //
    2023-08-17

Dataiku

$ Details
-
Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clรฉment Stenac
Employees
500 - 999

Miro features and specs

  • Collaborative Features
    Miro allows real-time collaboration with team members from different locations, offering features like video conferencing, sticky notes, and voting, which enhances teamwork and productivity.
  • User-Friendly Interface
    Miro's interface is intuitive and easy to navigate, which reduces the learning curve for new users and allows teams to start working efficiently right away.
  • Versatile Templates
    The platform offers a wide range of customizable templates for various use cases such as brainstorming, UX design, and agile workflows, saving users time and effort in setting up new projects.
  • Integration Capabilities
    Miro integrates seamlessly with numerous third-party tools such as Slack, Jira, Trello, and Google Drive, facilitating a smoother workflow by consolidating multiple tools into one platform.
  • Cross-Platform Availability
    Miro is accessible via web browsers, desktop applications, and mobile devices, providing flexibility for users who need to work across different environments.
  • AI embedded in the workspace
    Miro AI operates directly on boards and canvas content, reducing context switching and making AI support immediately relevant to the work at hand.
  • AI Sidekicks (AI teammates)
    Built-in AI Sidekicks assist teams with ideation, planning, writing, and structuring content, acting as collaborative partners rather than isolated tools.
  • AI Flows for end-to-end workflows
    AI Flows help guide and automate multi-step processes, enabling teams to move from idea to outcome more efficiently.
  • Content creation & refinement
    Teams can generate, edit, summarize, and refine text, visuals, and boards using AI โ€” saving time on repetitive or manual tasks.
  • Smarter collaboration at scale
    Miro AI helps teams align faster by summarizing boards, extracting insights, and organizing information across large or complex projects.
  • Enterprise-ready & secure
    Designed with governance and security in mind, Miro AI supports enterprise requirements while remaining accessible for everyday team use.

Possible disadvantages of Miro

  • Pricing
    While Miro offers a free tier, its advanced features and expanded user capabilities require a paid subscription, which may be costly for small teams or startups.
  • Performance Issues
    Some users have reported experiencing lag and performance issues, particularly with larger boards or when multiple collaborators are working simultaneously.
  • Complexity for Basic Tasks
    For simple tasks, Miro might feel over-engineered, causing users to navigate through more features and options than necessary, which can be overwhelming for some.
  • Learning Curve for Advanced Features
    While basic operations are straightforward, mastering Miro's more advanced features can require a significant time investment and training, especially for non-technical users.
  • Data Privacy Concerns
    As with any cloud-based service, there are potential data privacy and security issues. Users need to ensure their data is protected and comply with internal or regulatory privacy policies.

Dataiku features and specs

  • User-Friendly Interface
    Dataiku offers an intuitive and easy-to-navigate visual interface that allows users of all technical backgrounds to create, manage, and deploy data projects without needing extensive coding knowledge.
  • Collaborative Environment
    The platform supports collaborative work, enabling data scientists, engineers, and analysts to work together on the same projects seamlessly, sharing insights and models easily.
  • End-to-End Workflow
    Dataiku provides tools that cover the entire data pipeline, from data preparation and cleaning to model building, deployment, and monitoring, making it a comprehensive solution for data teams.
  • Integrations and Extensibility
    The platform integrates with many data storage systems, machine learning libraries, and cloud services, allowing users to leverage existing tools and infrastructure.
  • Automation Capabilities
    Dataiku offers automation features such as scheduling, automation scenarios, and machine learning model monitoring, which can significantly enhance productivity and efficiency.
  • Rich Documentation and Support
    Dataiku provides extensive documentation, tutorials, and a strong support community to help users navigate the platform and troubleshoot issues.

Possible disadvantages of Dataiku

  • Pricing
    Dataiku can be expensive, particularly for small businesses and startups. The cost may be a barrier to entry for organizations with limited budgets.
  • Resource Intensive
    The platform can be resource-hungry, requiring significant computing power, which may necessitate additional investments in hardware or cloud services.
  • Learning Curve for Advanced Features
    Although the basic interface is user-friendly, mastering advanced features and customizations can require a steep learning curve and significant training.
  • Limited Offline Capabilities
    Dataiku relies heavily on cloud services for many of its functionalities. This dependence might be restrictive in environments with limited or no internet access.
  • Custom Model Flexibility
    While Dataiku supports many machine learning frameworks, the process of integrating custom or niche models can be cumbersome compared to using those frameworks directly.
  • Dependency on Ecosystem
    The seamless experience of Dataiku often relies on the broader cloud and data ecosystem. Changes or issues in integrated services can impact its performance and reliability.

Analysis of Miro

Overall verdict

  • Miro is a highly effective and versatile online collaboration tool, making it a great choice for teams looking to enhance their brainstorming, planning, and creative processes.

Why this product is good

  • User-Friendly Interface: Miro provides an intuitive interface that is easy to navigate, allowing users to quickly start creating and collaborating.
  • Collaborative Features: Offers real-time collaboration, which is ideal for teams working remotely. Multiple users can interact on the same board simultaneously.
  • Versatile Toolset: Includes a wide range of templates and tools for creating diagrams, flowcharts, wireframes, and more. This makes it adaptable to various use cases.
  • Integration Capabilities: Easily integrates with other tools like Slack, Microsoft Teams, Asana, and Jira, enhancing workflow efficiency.
  • Scalability: Supports a wide range of team sizes, from small groups to large enterprises, with customizable plans that cater to different organizational needs.

Recommended for

  • Remote Teams: Miro is perfect for teams that are geographically dispersed and require a platform to collaborate in real-time.
  • Project Managers: Ideal for visualizing project timelines, task assignments, and workflow processes.
  • Design and Creative Professionals: Useful for brainstorming sessions, design sprints, and creating mockups or wireframes.
  • Educators and Trainers: Can be used as a virtual whiteboard for teaching and training, allowing interactive engagement with students or trainees.
  • Business Strategists: Helpful for conducting SWOT analyses, strategic planning, and workshops.

Miro videos

Make a Flowchart in Miro in UNDER a Minute!โณ

More videos:

  • Demo - Miro AI - Miro Sidekicks and Flows

Dataiku videos

AutoML with Dataiku: And End-to-End Demo

More videos:

  • Review - Dataiku: For Everyone in the Data-Powered Organization
  • Tutorial - Dataiku DSS Tutorial 101: Your very first steps

Category Popularity

0-100% (relative to Miro and Dataiku)
Productivity
100 100%
0% 0
Data Science And Machine Learning
Digital Whiteboard
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Miro and Dataiku

Miro Reviews

7 Best Product Discovery Tools for High-Growth B2B SaaS Teams (2026)
Miro is the ultimate visual collaboration platform for early-stage brainstorming and workshops. It provides total freedom for "messy" discoveryโ€”affinity mapping, user journey sketching, and service blueprintsโ€”helping teams align on a vision before moving into a structured discovery tool.
Source: www.laneapp.co
Best Database Diagram Tools โ€“ Free and Paid
Team collaboration is non-negotiable for modern development. Tools like Lucidchart, Miro, and DrawSQL are purpose-built for real-time teamwork, complete with live cursors, comments, and sharing links. If your team works asynchronously or across time zones, prioritize tools with built-in version control and cloud access.
Source: blog.devart.com
10 Best Figma Alternatives in 2024
Teams can discuss ideas, plan, and interact graphically in real time using Miro, an online collaborative whiteboard platform. Users can create and arrange many kinds of content, such as sticky notes, diagrams, wireframes, and presentations, on its digital canvas. It is another best figma alternative.
The 5 Best Open Source Miro Alternatives in 2024
However, though AFFiNE is an open source alternative to Miro, it may not offer the same comprehensive feature set as Miro, which is a mature and established visual collaboration platform. It takes time for AFFiNE to eventually catch Miro in the near future.
Source: affine.pro
Software Diagrams - Plant UML vs Mermaid
There are many generic diagramming tools that can be used to design software such as diagrams.net (formerly draw.io), Miro, or Lucid Charts. These generic tools do allow a lot of flexibility but end up costing you more time than you intended to align all boxes and arrows and to get the colour schemes just right.

Dataiku Reviews

15 data science tools to consider using in 2021
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The companyโ€™s flagship product features a team-based user interface for both data analysts and data scientists. Dataikuโ€™s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....

Social recommendations and mentions

Based on our record, Miro seems to be more popular. It has been mentiond 243 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Miro mentions (243)

View more

Dataiku mentions (0)

We have not tracked any mentions of Dataiku yet. Tracking of Dataiku recommendations started around Mar 2021.

What are some alternatives?

When comparing Miro and Dataiku, you can also consider the following products

Mural - MURAL is a visual collaboration workspace for modern teams.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Excalidraw - Excalidraw is a whiteboard tool that lets you easily sketch diagrams that have a hand-drawn feel to them.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

LucidChart - LucidChart is the missing link in online productivity suites. LucidChart allows users to create, collaborate on, and publish attractive flowcharts and other diagrams from a web browser.

NumPy - NumPy is the fundamental package for scientific computing with Python