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Dataiku VS BugHerd

Compare Dataiku VS BugHerd and see what are their differences

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LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Dataiku logo Dataiku

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

BugHerd logo BugHerd

BugHerd: The Website Feedback Tool for Agencies
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • BugHerd Landing page
    Landing page //
    2022-06-09

BugHerd is the world's leading website feedback and bug-tracking tool. Globally, thousands of leading agencies and marketing teams love it for the ease and collaboration it brings to their website projects.

BugHerd has revolutionised the way agencies collect and manage website feedback from clients and internal teams. It is perfect for teams and individuals involved in website design and development. With BugHerd you can easily pin feedback directly to specific elements of the web pages. It acts as a transparent layer on the website that is visible only to you and your team. Submitted feedback and bugs are sent to a central Kanban task board that provides all stakeholders with full visibility of the project.

Get started in 3 easy steps:

STEP 1

Go to bugherd.com and click Start 14-day Free trial. 

STEP 2

Sign up to create your first project. You can test BugHerd out on any website. It will only be visible to you.

STEP 3

And voila! You can start collecting feedback and invite others to try it out with you. It’s that simple.

Dataiku

Website
dataiku.com
Pricing URL
Official Dataiku Pricing
$ Details
-
Platforms
-
Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clément Stenac
Employees
500 - 999
Edit details

BugHerd

Website
bugherd.com
Pricing URL
Official BugHerd Pricing
$ Details
paid Free Trial $39.0 / Monthly (5 Users, 10 GB Data Storage)
Platforms
Browser Windows Web Google Chrome Mac OSX Firefox
Release Date
2010 January
Edit details

Dataiku features and specs

No features have been listed yet.

BugHerd features and specs

  • Audit Trail: Yes
  • Backlog Management: Yes
  • Task management: Yes
  • Ticket management: YES
  • Workflow Management: Yes
  • Collaboration Tools: Yes
  • Task Board View: Yes
  • To Do List View: Yes
  • Easy Set Up: Yes
  • Guest Feedback: Yes
  • Feedback & Commenting: Yes
  • Feedback widget: Yes
  • Capture Metadata: Yes
  • Integrations: Yes
  • Annotations: Yes
  • Public Feedback: Yes
  • Unlimited Guests: Yes
  • Real Time Commenting: Yes
  • Kanban board: Yes
  • Triarge Feedback: Yes
  • API Support: Yes

Dataiku videos

+ Add

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

BugHerd videos

+ Add

Looking For Bug Tracking Software? Bugherd Review + Tutorial

More videos:

  • Review - What is BugHerd?
  • Tutorial - BugHerd Tutorial
  • Review - BugHerd: Visual Feedback Tool for Websites
  • Tutorial - Take a look at BugHerd

Category Popularity

0-100% (relative to Dataiku and BugHerd)

Dataiku

BugHerd

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Visual Bug Reports
0 0%
Visual Bug Reports
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Project Management
0 0%
Project Management
100% 100

User comments

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

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

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.
Source: searchbusinessanalytics.techtarget.com
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 company’s flagship product features a team-based user interface for both data analysts and data scientists. Dataiku’s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....
Source: solutionsreview.com

BugHerd Reviews

30 Best Customer Feedback Survey Tools: An Overview | Mopinion
Bugherd is primarily an issue tracking and project management tool for developers and designers. However, this tool also has an in-page feedback option, which allows customers to report bugs straight from the website. The visual task board makes it easy to manage, assign and prioritise tasks quickly. Bugherd can also be integrated with several apps like zapier, slack and...
Source: mopinion.com
Top 17 Best Bug Tracking Tools: an overview 19 Jun 2017
BugHerd is a web-based issue tracking project management tool. Intended for developers and designers, issues are organised around four lists: Backlog, To Do, Doing and Done – enabling teams to keep up with the status of various tasks. The tool captures a screenshot of the issue including the exact HTML element being annotated. Already have a tool such as Redmine or Pivotal...
Source: mopinion.com
Top 10 Bug Tracking Tools for Web Developers and Designers
BugHerd toolbar is intuitively designed to be like a Kanban Board and can register all kinds of prioritized issues including screenshots. It enables web developers to identify the bugs directly through entering the website URL in BugHerd toolbar. It is extremely easy to access and also contains all the technical documentations for resolving bugs clinically.
Source: www.w2ssolutions.com
Bug Tracker Needed? Here 6 Best Bug Tracking Software to Use
So, the main difference is that this is already a specialized bug tracker. Using GitHub you should always manually include any related information such as a concrete page on which the bug was found, screen resolution, the operating system, etc., then with Bugherd this meta information is tracked and added automatically.
Source: everhour.com

Social recommendations and mentions

Based on our record, BugHerd seems to be more popular. It has been mentiond 4 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.

Dataiku mentions (0)

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

BugHerd mentions (4)

What are some alternatives?

When comparing Dataiku and BugHerd, 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.

Marker.io - Visual feedback and bug reporting tool for websites

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

Pastel - Sticky note-based feedback collection tool for live websites

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

Usersnap - Usersnap is a customer feedback software for SaaS companies that need to constantly improve and grow their products.

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