Software Alternatives & Startups

Dataiku VS Waydev

Compare Dataiku VS Waydev and see what are their differences

Dataiku

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

Rating
0 reviews
Waydev

Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.

Rating
0 reviews
Pricing
Freemium Free trial $449 / Annually (per active engineer)
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.

Which is more popular?

Based on our record, Waydev seems to be more popular. It has been mentioned 2 times since March 2021.

social mentions
0 vs 2
Data Science And Machine Learning popularity
100% vs 0%
alternatives listed
178 vs 158

Base details

Website, pricing, platforms and company facts side by side.

Dataiku
Waydev
Website dataiku.com waydev.co
Pricing
Freemium Free trial $449 / Annually (per active engineer) Official pricing
Platforms —
Windows Browser Mac OSX Linux REST API PHP +3
Company Startup from the United States · 500 - 999 employees · 2013 2019
Listed in

About Dataiku and Waydev

In their own words, as submitted to SaaSHub.

Dataiku
Waydev

No description of Dataiku yet.

Waydev helps managers to move from a feeling driven to a data-driven approach. Waydev includes concrete metrics for your daily stand-ups, 1-to-1 meetings, checking the history of the engineers work and benchmarking your stats with the industry.

Read more about Waydev

Features and specs

What each product offers, as listed by its team.

Dataiku 6 features
Waydev 5 features
  • 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

  • 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.
  • Comprehensive analytics
    Waydev provides in-depth insights into codebase productivity and helps teams understand their development patterns and bottlenecks through cohesive reports and dashboards.
  • Integration capabilities
    Waydev seamlessly integrates with various popular platforms such as GitHub, GitLab, Bitbucket, Azure DevOps, and more, making it versatile across different development environments.
  • Team performance monitoring
    It allows managers to monitor team performance in real-time and identify areas where developers are excelling or may need support, fostering a data-driven approach to team management.
  • Historical insights
    Waydev offers historical data analysis, allowing teams to track progress over time and measure the impact of changes or new processes on productivity.
  • Automated reporting
    The platform can generate automated reports, saving time for managers and providing consistent metrics for evaluation and decision-making.

Possible disadvantages

  • Cost
    Some users may find Waydev's pricing to be on the higher side, especially smaller teams or startups with tight budgets.
  • Learning curve
    Waydev's advanced features and extensive data may require a learning period for users to become proficient in navigating and interpreting the tools and reports effectively.
  • Privacy concerns
    As Waydev analyzes detailed code and performance metrics, some team members may feel uncomfortable with the level of monitoring and data tracking involved.
  • Data dependency
    The accuracy and usefulness of Waydev's insights are heavily dependent on the quality and completeness of the data integrated from the various source platforms.
  • Limited customization
    While Waydev offers a range of standard reports and metrics, some users might find that it lacks the flexibility to fully customize analytics or dashboards to fit unique needs or preferences.

Videos

Walkthroughs and reviews on video.

Dataiku 3 videos + Add
Waydev 1 video + Add

AutoML with Dataiku: And End-to-End Demo

More videos

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

Waydev Demo

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Dataiku
Waydev
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using Dataiku and Waydev. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Dataiku no reviews yet
Waydev no reviews yet

We have no reviews of Waydev yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Dataiku 0 mentions
Waydev 2 mentions

Tracking Dataiku since Mar 2021.

  • Which project management tools implement agile development?
    For example, in our traditional approach, every step and process is defined and has to be adhered to. Any change has to go through multiple approvals. The scope in itself has a very limited scope or flexibility towards change. I am on... Source: over 4 years ago
  • How is Software Development Analytics increasing Engineering Efficiency?
    When you’re ready to translate data into greater visibility, and this visibility into faster, more efficient teams, you can start looking at development analytics platforms like Waydev. - Source: dev.to / about 5 years ago

Alternatives to Dataiku and Waydev

When comparing Dataiku and Waydev, 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.

    Compare Scikit-learn to Dataiku or Waydev:

  • LinearB

    LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.

    Compare LinearB to Dataiku or Waydev:

  • Pandas

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

    Compare Pandas to Dataiku or Waydev:

  • GitPrime

    GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.

    Compare GitPrime to Dataiku or Waydev:

  • NumPy

    NumPy is the fundamental package for scientific computing with Python

    Compare NumPy to Dataiku or Waydev:

  • Swarmia

    Swarmia is an engineering productivity software trusted by 600+ engineering teams worldwide. Use key engineering metrics to unblock the flow, align engineering with business objectives, and drive continuous improvement.

    Compare Swarmia to Dataiku or Waydev: