Software Alternatives & Startups
Register | Login

CodeTogether VS Dataiku

Compare CodeTogether VS Dataiku and see what are their differences

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

CodeTogether logo CodeTogether

Live share IDEs and coding sessions. See changes in real time.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
Not present

CodeTogether is the perfect blend of functionality and simplicity, designed by a team of remote developers that rely on collaborative development. Whether you are on an Agile team that uses pair programming as part of your regular software development flow or you just like to live share your code in the occasional troubleshooting session, CodeTogether is the best tool for pair programming, mob programming, code review, and more! If you’ve been using screen sharing or an online code editor for collaborative coding, you’ll be amazed at the difference! Seeing is believing—watch our linked videos to see CodeTogether in action.

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

CodeTogether

Website
codetogether.com
Pricing URL
Official CodeTogether Pricing
$ Details
paid Free Trial $10 / Monthly (Starter Plan, up to 25 users)
Platforms
Windows Mac OSX Linux
Release Date
2020 May
Edit details

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

CodeTogether features and specs

  • End-to-End Encryption
  • On-Premises
    Available
  • Cross-platform support
    Across multiple IDEs and browsers, no vendor lock-in
  • Host-provided intelligence
    Advanced content assist, validation, navigation, etc.
  • Simultaneous Coding
    Code in any group (even in the same file at the same time) or on your own
  • Shared servers, terminals & consoles
    Hosts can share servers for remote access, and terminals that optionally allow guests to execute commands
  • Run Tests & Launches
    Guests can remotely run tests and analyze results. They can also execute run configurations from the host IDE.
  • Audio/Video & Screen Sharing
    Option to invite guests that aren't part of the coding session

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.

CodeTogether videos

+ Add

CodeTogether: The Complete Overview to Live Sharing your IDE

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

Category Popularity

0-100% (relative to CodeTogether and Dataiku)

CodeTogether

Dataiku

Code Collaboration
100 100%
Code Collaboration
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Programming Tools
100 100%
Programming Tools
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using CodeTogether and Dataiku. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

CodeTogether Reviews

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

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

Social recommendations and mentions

Based on our record, CodeTogether 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.

CodeTogether mentions (4)

  • Hey! Are there any coding platforms where you can share a simple link with other people to use an app? I keep wanting to find something other than code.org (which makes sharing pretty easy and accessible to anyone)
    Looking for collaboration and advanced features? Most decent ones cost money ... Start with replit.com, also look at codeanywhere.com, and also codetogether.com (requires download, free+paid plans). Source: over 4 years ago
  • QUESTION: How to manage pair programming?
    Are you using the right tools? Screen sharing isn't great for longer sessions, and you need a code focused tool like Live Share, or one we make - CodeTogether, especially if you need to work across IDEs. Source: over 5 years ago
  • dual keyboard / mouse input?
    Just addressing the pair programming aspect of this - if you were doing this remotely, you could use something like codetogether.com Each of you would have your own machines and screens, but be looking at the same piece of code (if you want) or investigate / code in different areas of the project too. Source: over 5 years ago
  • PhpStorm 2021.1 Released: Preview for PHP and HTML Files, 20+ New Inspections, Improvements in All Subsystems, and Pair Programming via Code With Me
    If any of you are looking for a pair/mob programming solution that works across IDEs, do try codetogether.com. Host in IntelliJ, join from VS Code or Eclipse if you want. We just added the support for writeable shared terminals. Video covering all the features is here: https://youtu.be/OgCWc3hTBc0. Source: over 5 years ago

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 CodeTogether and Dataiku, you can also consider the following products

CodeShare.io - Realtime code sharing for developers

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

Visual Studio Live Share - Real-time collaborative development

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

Teletype for Atom - Collaborate in real time in Atom

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

Loading...