Dataiku is a powerful data science platform for teams.

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4.439 reviewsG2FreeFree version
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Overview

Dataiku is a collaborative data science software that helps teams build and deploy data projects. It allows users to explore, clean, and analyze data while using a variety of tools, all in one place. With an intuitive interface, Dataiku makes it easier for data scientists and business analysts to work together effectively.

Pricing

PlanPriceDescription
FREE EDITIONInstall Dataiku on Your InfrastructureFree (3 Users)
FREE TRIALTry Dataiku Cloud for 14 DaysFree Trial (5 Users)
PAID EDITIONSUse Dataiku Across Your Entire OrganizationContact Us

Key features

Visual Interface

Dataiku offers a user-friendly visual interface that makes it easy for anyone to work with data, regardless of their technical skills.

Collaborative Workspaces

Teams can collaborate in real-time, sharing projects, insights, and workflows seamlessly.

Automated Workflows

Users can create automated workflows that save time and reduce manual effort in data preparation and analysis.

Integration Capabilities

Dataiku integrates with numerous data sources, cloud services, and machine learning libraries, ensuring flexibility and compatibility.

Advanced Analytics

It supports advanced analytics techniques, including machine learning and AI, allowing users to build predictive models.

Data Preparation Tools

Built-in tools allow for quick data cleaning and transformation, which streamlines the analysis process.

Deployment Options

Dataiku provides various deployment options, making it easy to publish models and share results with stakeholders.

Scalability

The platform is designed to scale with projects, handling everything from small datasets to large enterprise solutions.

Pros

  • Easy to Use
    The user-friendly interface is suitable for both beginners and experienced users.
  • Team Collaboration
    Enhances teamwork by allowing multiple users to work on the same project simultaneously.
  • Versatile Integrations
    Supports a wide range of data sources and tools, making it versatile for any organization.
  • Robust Training Resources
    Offers extensive learning materials and support to help users get started quickly.
  • Powerful Analytics
    Facilitates advanced data analytics, enabling businesses to make informed decisions.

Cons

  • Costly for Small Businesses
    Pricing may be a concern for smaller organizations with limited budgets.
  • Learning Curve
    While user-friendly, some advanced features may require time to master.
  • Resource Intensive
    Can be demanding on system resources, especially with large datasets.
  • Limited Offline Functionality
    Primarily operates online, which may be a drawback for some users.
  • Complexity for Simple Tasks
    Some basic data tasks may feel overly complicated compared to simpler tools.

FAQ

Here are some frequently asked questions about DatAIku.

Dataiku is a data science platform that enables teams to collaboratively build and manage data projects.

Dataiku is designed for data scientists, analysts, and anyone interested in data analysis, regardless of their technical skills.

Key features include a visual interface, collaborative workspaces, automated workflows, and advanced analytics capabilities.

Yes, Dataiku has an intuitive interface that makes it accessible for beginners while still offering advanced tools for experts.

You can work with various data types, including structured, semi-structured, and unstructured data from different sources.

Yes, Dataiku integrates with many data sources and tools, such as SQL databases, cloud services, and machine learning frameworks.

Dataiku offers various deployment options, including web-based, on-premise, and cloud deployments.

Pricing for Dataiku varies depending on the specific use case and organization size; it's best to contact their sales team for a detailed quote.

Dataiku provides extensive documentation, tutorials, webinars, and a support team to assist users.

Yes, Dataiku allows you to automate reporting by creating workflows that generate reports based on your data analyses.