- DVC (Data Version Control):
- DVC is an open-source tool designed to handle large files, datasets, and machine learning experiments.
- It works alongside Git, but it manages data separately.
- DVC can store data in multiple storage backends like S3, GCP, Azure, and others.
- It is command-line based, which can be used within MATLAB through system commands.
- Git Large File Storage (LFS):
- Git LFS is an extension of Git specifically designed to handle large files and binaries.
- It stores large files in a separate server but integrates smoothly with Git.
- The integration with MATLAB's Git integration can be more straightforward since it's an extension of Git.
- Pachyderm:
- Pachyderm offers data versioning with a focus on data pipelines for machine learning and data science workflows.
- It can handle large data sets efficiently and is suitable for complex experiments.
- The integration with MATLAB might require a bit of setup, as Pachyderm operates with containers and Kubernetes.
- Quilt:
- Quilt is a version control system for data. It manages data like code in packages.
- It offers versioning and packaging for large datasets.
- It might require some scripting to integrate effectively with MATLAB workflows.
- Apache NiFi:
- While primarily a data processing tool, Apache NiFi can be used to manage and automate the flow of data between systems.
- It's more complex and suited for larger, more intricate data workflows.
- Integration with MATLAB could be complex and might require a significant setup.
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