Software Alternatives & Startups

Crowdin VS Dataiku

Compare Crowdin VS Dataiku and see what are their differences

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Crowdin logo Crowdin

Localize your product in a seamless way with Crowdin's translation management software

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • Crowdin Crowdin Profile View
    Crowdin Profile View //
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  • Crowdin Crowdin Project View
    Crowdin Project View //
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  • Crowdin Crowdin Tasks View
    Crowdin Tasks View //
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  • Crowdin Crowdin Reports Page
    Crowdin Reports Page //
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  • Crowdin Crowdin connector app view
    Crowdin connector app view //
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Crowdin is an AI-powered localization software for teams and businesses. Connect with your development, design, and marketing stack, manage all your multilingual content in one place.

Get quality translations for your app, website, game, supporting documentation, marketing materials and more. Invite your own translation team or work with professional translation agencies within Crowdin.

Key features include:

  • Translation Memory, In-Context Visual Editor, Machine Translations, Quality Assurance checks, Reports, and a Marketplace.

  • 700+ apps and integrations, including Git, marketing, support, and a lot of other tools you can find at https://store.crowdin.com.

  • AI-powered localization tools: QA, pre-translation automation, AI Context Harvester, Agentic AI, the platform also supports most of the popular AI providers like OpenAI, Anthropic and more.

  • Get translations from Crowdin language services, agencies from the marketplace, or your own translation team.

  • Content integrations with GitHub, GitLab, Bitbucket, and Azure Repos.

  • API, CLI, webhooks.

  • iOS and Android SDKs for over-the-air content delivery, real-time preview, and screenshots.

  • Integrations with design tools: Figma, Adobe XD, and Sketch plugins.

  • Integrations with CMS like Webflow, Storyblok, Bigcommerce, Shopify etc.

  • Integrations with marketing tools: Mailchimp, Contentful, SendGrid, Hubspot, Dropbox, and more.

  • Tasks and various collaboration tools.

For more information, visit https://crowdin.com.

For enterprise businesses, we have Crowdin for Enterprise: https://crowdin.com/enterprise.

Crowdin supports more than 100 file formats for mobile, software, documents, subtitles, graphics and assets: .xml, .strings, .json, .html, .xliff, .csv, .php, .resx, .yaml, .xml, .properties, .strings, and so on.

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

Crowdin

$ Details
freemium $50 / Monthly (Pro)
Platforms
SaaS Cloud Web Browser
Release Date
2009 January
Startup details
Country
Estonia
City
Tallinn
Founder(s)
Serhiy Dmytryshyn
Employees
50 - 99

Dataiku

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

Crowdin features and specs

  • Source Files Management
    Support of all popular file formats, files prioritization, export options, file revisions with a rollback possibility.
  • Over-The-Air Content Delivery
    An API to distribute and deliver translated content to the end users. Can be used with Crowdin Android and iOS SDK
  • Sketch Plugin
    Automate translation of content on your pages and artboards into multiple languages. Quickly generate language-specific assets.
  • Jira Integration
    Keep track of issues in the source strings reported by users working on the project translation. Each new issue in Crowdin becomes a sub-task in Jira automatically.
  • Translation memory
    Translation Memory (TM) is the vault of previously translated content from a particular project.
  • Google Play Integration
    Crowdin’s integration with Google Play improves the process of your app’s data localization.
  • GitHub, Bitbucket and GitLab Integrations
    Keep files synchronized between your repository in version control system and project in Crowdin.

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.

Analysis of Crowdin

Overall verdict

  • Crowdin is generally regarded as a good tool for localization management, particularly for businesses seeking to efficiently manage multilingual projects. The combination of robust features, ease of use, and integration options makes it a popular choice among developers and managers.

Why this product is good

  • Crowdin is considered a reliable platform for localization management due to its user-friendly interface and comprehensive features. It supports a wide range of file formats, offers real-time collaboration, and integrates with various tools and platforms. Its automated workflows and machine translation capabilities facilitate efficient translation processes. The platform is designed to streamline project management, making it easier for teams of all sizes to manage their localization needs.

Recommended for

    Crowdin is recommended for software developers, project managers, and localization teams working on apps, websites, or any digital product that demands efficient and effective translation management. It is also suitable for companies looking to expand their products' reach into international markets.

Crowdin videos

Unlock New Features of Crowdin AI

More videos:

  • Demo - What's Crowdin?
  • Demo - Crowdin Apps & Integrations: a single tool to localize all your content
  • Tutorial - How To Manage Translations For Your Application | Crowdin & GitHub Tutorial

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

Category Popularity

0-100% (relative to Crowdin and Dataiku)
Localization
100 100%
0% 0
Data Science And Machine Learning
App Localization
100 100%
0% 0
Data Science Tools
0 0%
100% 100

Questions & Answers

As answered by people managing Crowdin and Dataiku.

What makes your product unique?

Crowdin's answer

Crowdin uniquely combines agile continuous localization with a highly customizable, enterprise-grade AI infrastructure. You can connect translation projects with over 700 apps and integrations. Crowdin offers exclusive capabilities like an AI Context Harvester, BYO key for any LLM connection, 40+ MT engines availability, custom workflows, Over-The-Air (OTA) deployment for mobile apps, and enterprise-grade security to protect your data.

Why should a person choose your product over its competitors?

Crowdin's answer

Enterprises choose Crowdin for its unmatched customizability and strict security compliance (ISO/IEC 27001). It completely automates complex localization pipelines using powerful developer tools (Git syncing, APIs, Over-The-Air updates), while guaranteeing accuracy by giving both AI and human linguists perfect visual context through auto-tagged screenshots and in-context editors.

What's the story behind your product?

Crowdin's answer

The company was founded in 2008 by Ukrainian programmer Serhiy Dmytryshyn as a hobby project for localization of small projects. The platform was officially launched in January 2009. Since then, it has been adopted among software and game development companies for software translation. The launch of Crowdin Enterprise came in 2020. In early 2020s, Crowdin began incorporating AI and large language model (LLM) capabilities into its platform. By 2025, over 3 million registered users across 160 countries had signed up on the platform.

Who are some of the biggest customers of your product?

Crowdin's answer

  • Intel
  • Xiaomi
  • OnePlus
  • GitHub
  • GitLab
  • Raspberry Pi
  • TYPO3
  • Joomla
  • Magento
  • PrestaShop
  • Calendly
  • Wrike
  • Pipedrive
  • Strava
  • Preply
  • JetBrains
  • Kickstarter
  • Khan Academy
  • Code.org
  • Meeds
  • Mojang
  • Wildlife Studios
  • Coffee Stain

How would you describe the primary audience of your product?

Crowdin's answer

Crowdin’s primary audience is large global enterprises, fast-scaling tech companies, and agile development teams. Specifically software, app, and game studios. Those teams that require highly secure, continuous localization deeply integrated into their CI/CD pipelines at scale.

User comments

Share your experience with using Crowdin and Dataiku. 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 Crowdin and Dataiku

Crowdin Reviews

Crowdin vs. Lokalise:True Lokalise Alternative
Frequently Asked Questions Who should use Crowdin? What is Crowdin used for? Crowdin is a cloud-based localization platform that automates translation for software, websites, apps, and content. It supports 100+ file formats, integrates with 700+ tools, and offers AI-powered translations, real-time collaboration, and translation memory to ensure accuracy. Used by translators,...
Source: crowdin.com

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 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....

Social recommendations and mentions

Based on our record, Crowdin seems to be more popular. It has been mentiond 22 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.

Crowdin mentions (22)

  • Tools to Automate GitHub Projects
    Crowdin simplifies translation management by syncing translations from GitHub to its dashboard. Translators can contribute without interacting with GitHub directly. Learn more about Crowdin here. - Source: dev.to / over 1 year ago
  • What is Website Localization?
    There are many products out there such as Lokalize, Crowdin, Weglot, Adobe Target, etc can be used to achieve these experiences. Diving into the details and the general working of these products is out of scope of this blog post. But do give these products a try. - Source: dev.to / almost 2 years ago
  • How to Translate Your Next.js App in 5 Minutes With Crowdin
    We decided to see if there are any solutions to this issue on the market, did a bit of research, and decided to try out Crowdin - and we think it’s awesome! It offers:. - Source: dev.to / about 2 years ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Crowdin.com — Unlimited projects, unlimited strings, and collaborators for Open Source. - Source: dev.to / over 2 years ago
  • Coding for UX writers
    We're using Crowdin for this, since we need to localise with external partners to different languages: https://crowdin.com/. But there are other options on the market that are geared more towards providing a true source of text, like Frontitude or Ditto: Https://www.frontitude.com/ Https://www.dittowords.com/. Source: almost 3 years ago
View more

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 Crowdin and Dataiku, you can also consider the following products

Transifex - Transifex makes it easy to collect, translate and deliver digital content, web and mobile apps in multiple languages. Localization for agile teams.

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

Lokalise - Localization tool for software developers. Web-based collaborative multi-platform editor, API/CLI, numerous plugins, iOS and Android SDK.

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

POEditor - The translation and localization management platform that's easy to use *and* affordable!

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