Best Data Collaboration Platforms for Linux of 2024

As you experiment with full history and recovery, confidently branch, review, merge, and review data. For always-in-sync development, and guaranteed reproducibility, track your code and data together. Automate reports, audit access, manage metadata, and more in one central location. XetHub is perfect for teams that already use Git to track code changes and want to take advantage of the power and flexibility of infinite history, pull request, and difference-based tracking to track larger assets like media files or datasets. For workflows that use code for generating or augmenting assets, managing complete projects with familiar Git semantics is easy.

MLReef allows domain experts and data scientists secure collaboration via a hybrid approach of pro-code and no-code development. Distributed workloads lead to a 75% increase in productivity. This allows teams to complete more ML project faster. Domain experts and data scientists can collaborate on the same platform, reducing communication ping-pong to 100%. MLReef works at your location and enables you to ensure 100% reproducibility and continuity. You can rebuild all work at any moment. To create interoperable, versioned, explorable AI modules, you can use git repositories that are already well-known. Your data scientists can create AI modules that you can drag and drop. These modules can be modified by parameters, ported, interoperable and explorable within your organization. Data handling requires a lot of expertise that even a single data scientist may not have. MLReef allows your field experts to assist you with data processing tasks, reducing complexity.

Data governance solution that identifies and classes sensitive unstructured data using its association with other characteristics. It also shows the data's security vulnerability, and dynamically applies security policies on an ongoing basis. This file-based security solution is the most advanced. It allows organizations to track, protect and control sensitive documents and meet regulatory and internal security requirements at all stages of the document lifecycle. Information-centric content platform for data collaboration, management and protection. It uses a persistent ID to allow organizations to integrate a core set functions that are essential for all applications that deal with unstructured enterprise data. It's an intuitive and open collaboration tool that allows you to securely share, track, control, and remotely terminate access to sensitive content. You have complete control over the content and it is protected at all times, both internally and externally.