Software Alternatives & Startups

Crowdin VS Databricks

Compare Crowdin VS Databricks and see what are their differences

Crowdin

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

Rating
0 reviews
Pricing
Open source Freemium Free trial $50 / Monthly (Pro)
Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Rating
0 reviews
Pricing
Open source
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?

Crowdin might be a bit more popular than Databricks. We know about 22 links to it since March 2021 and only 18 links to Databricks.

social mentions
22 vs 18
Localization popularity
100% vs 0%

Base details

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

Crowdin
Databricks
Website crowdin.com databricks.com
Pricing
Open source Freemium Free trial $50 / Monthly (Pro) Official pricing
Open source Official pricing
Platforms
SaaS Cloud Web Browser +1
Company Startup from Estonia · 50 - 99 employees · 2009
Listed in

About Crowdin and Databricks

In their own words, as submitted to SaaSHub.

Crowdin
Databricks

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....

Read more about Crowdin

No description of Databricks yet.

Features and specs

What each product offers, as listed by its team.

Crowdin 7 features
Databricks 6 features
  • 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.
  • Unified Data Analytics Platform
    Databricks integrates various data processing and analytics tools, offering a unified environment for data engineering, machine learning, and business analytics. This integration can streamline workflows and reduce the complexity of data management.
  • Scalability
    Databricks leverages Apache Spark and other scalable technologies to handle large datasets and high computational workloads efficiently. This makes it suitable for enterprises with significant data processing needs.
  • Collaborative Environment
    The platform offers collaborative notebooks that allow data scientists, engineers, and analysts to work together in real-time. This enhances productivity and fosters better communication within teams.
  • Performance Optimization
    Databricks includes various performance optimization features such as caching, indexing, and query optimization, which can significantly speed up data processing tasks.
  • Support for Various Data Formats
    The platform supports a wide range of data formats and sources, including structured, semi-structured, and unstructured data, making it versatile and adaptable to different use cases.
  • Integration with Cloud Providers
    Databricks is designed to work seamlessly with major cloud providers like AWS, Azure, and Google Cloud, allowing users to easily integrate it into their existing cloud infrastructure.

Possible disadvantages

  • Cost
    Databricks can be expensive, especially for large-scale deployments or high-frequency usage. It may not be the most cost-effective solution for smaller organizations or projects with limited budgets.
  • Complexity
    While powerful, Databricks can be complex to set up and manage, requiring specialized knowledge in Apache Spark and cloud infrastructure. This might lead to a steeper learning curve for new users.
  • Dependency on Cloud Providers
    Being heavily integrated with cloud providers, Databricks might face issues like vendor lock-in, where switching providers becomes difficult or costly.
  • Limited Offline Capabilities
    Databricks is primarily designed for cloud environments, which means offline or on-premise capabilities are limited, posing challenges for organizations with strict data governance policies.
  • Resource Management
    Efficiently managing and allocating resources can be challenging in Databricks, especially in large multi-user environments. Mismanagement of resources could lead to increased costs and reduced performance.

Analysis

An editorial look at what each product does well and who it suits.

Crowdin
Databricks

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.

No analysis of Databricks yet.

Videos

Walkthroughs and reviews on video.

Crowdin 4 videos + Add
Databricks 3 videos + Add

Unlock New Features of Crowdin AI

More videos

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

Introduction to Databricks

More videos

  • - Azure Databricks Tutorial | Data transformations at scale
  • - Databricks - Data Movement and Query

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
Crowdin
Databricks
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing Crowdin and Databricks.

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 Databricks. 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.

Crowdin no reviews yet
Databricks no reviews yet
  • Crowdin vs. Lokalise:True Lokalise Alternative
    crowdin.com · Oct 2025

    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...

  • Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
    lakefs.io · Sep 2023

    Databricks notebooks are a popular tool for developing code and presenting findings in data science and machine learning. Databricks Notebooks support real-time multilingual coauthoring, automatic versioning, and...

  • 7 best Colab alternatives in 2023
    deepnote.com · May 2023

    Databricks is a platform built around Apache Spark, an open-source, distributed computing system. The Databricks Community Edition offers a collaborative workspace where users can create Jupyter notebooks. Although it...

  • Top 5 Cloud Data Warehouses in 2023
    www.shipyardapp.com · Jan 2023

    Jan 11, 2023 The 5 best cloud data warehouse solutions in 2023Google BigQuerySource: https://cloud.google.com/bigqueryBest for:Top features:Pros:Cons:Pricing:SnowflakeBest for:Top features:Pros:Cons:Pricing:Amazon...

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Social recommendations and mentions

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

Crowdin 22 mentions
Databricks 18 mentions
  • 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... - 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

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  • Platform Engineering Abstraction: How to Scale IaC for Enterprise
    Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional... - Source: dev.to / almost 2 years ago
  • dolly-v2-12b
    Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a... Source: over 3 years ago
  • Clickstream data analysis with Databricks and Redpanda
    Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / about 4 years ago

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Alternatives to Crowdin and Databricks

When comparing Crowdin and Databricks, you can also consider the following products.