Software Alternatives, Accelerators & Startups

Dataiku VS Planful

Compare Dataiku VS Planful and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

Planful logo Planful

Planful is an online development platform with different remarkable services and features that enable users to make a rolling forecast, helping their business meet with every change.
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • Planful Landing page
    Landing page //
    2023-08-27

Dataiku

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

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.

Planful features and specs

  • Integrated Planning and Reporting
    Planful provides a cohesive platform for financial planning, budgeting, forecasting, and reporting, which can streamline processes and improve data accuracy.
  • User-Friendly Interface
    The platform is designed to be intuitive and user-friendly, reducing the learning curve and increasing adoption rates among users with varying levels of technical expertise.
  • Scalability
    Planful's cloud-based solution can scale with your organization, making it suitable for small businesses as well as large enterprises.
  • Collaboration Features
    The tool offers collaborative elements, allowing multiple users to work on and refine financial models and reports in real-time.
  • Strong Customer Support
    Planful is known for its responsive and effective customer support, helping users address issues and maximize the platform's utility.

Possible disadvantages of Planful

  • Cost
    The platform can be expensive, especially for smaller businesses with limited budgets.
  • Complex Implementation
    The initial setup and integration with existing systems can be complex and time-consuming, requiring a significant investment of resources.
  • Limited Customization
    While the platform is robust, some users find that customization options are limited, which can be a drawback for organizations with unique needs.
  • Learning Curve for Advanced Features
    Although the basic interface is user-friendly, mastering advanced features and customization can be challenging and may require additional training.
  • Dependency on Internet Connectivity
    As a cloud-based solution, Planful relies on stable internet connectivity, which can be a limitation in regions with poor internet infrastructure.

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

Planful videos

Planful Product Video

More videos:

  • Review - Introducing Planful
  • Review - Being Planful: Next generation FP&A | Chris Ortega

Category Popularity

0-100% (relative to Dataiku and Planful)
Data Science And Machine Learning
Development
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Data Dashboard
15 15%
85% 85

User comments

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Reviews

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

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....

Planful Reviews

We have no reviews of Planful yet.
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What are some alternatives?

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

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

AnswerRocket - AnswerRocket is a search-powered analytics that makes it possible to get answers from business data by asking natural language questions.

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

Prophix Software - Prophix develops Corporate Performance Management (CPM) software that automates important financial and operational processes.

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

DevicePilot - DevicePilot is a universal cloud-based software service allowing you to easily locate, monitor and manage your connected devices at scale.