Pachyderm Features

Allows users to input models built in a variety of languages.

Allows users to choose the framework or workbench of their preference.

Records versioning as models are iterated upon.

Provides a way to quickly and efficiently deploy machine learning models.

Offers a way to scale the use of machine learning models across an enterprise.

Allows users to input models built in a variety of languages.

Allows users to choose the framework or workbench of their preference.

Records versioning as models are iterated upon.

Provides a way to quickly and efficiently deploy machine learning models.

Offers a way to scale the use of machine learning models across an enterprise.

Records and organizes all machine learning models that have been deployed across the business.

Tracks the performance and accuracy of machine learning models.

Provisions users based on authorization to both deploy and iterate upon machine learning models.

Allows users to manage model artifacts and tracks which models are deployed in production.

Records and organizes all machine learning models that have been deployed across the business.

Tracks the performance and accuracy of machine learning models.

Provisions users based on authorization to both deploy and iterate upon machine learning models.

Provides administrators with detailed insight into changes made by database developers.

Allows users to revert back to previous versions of their database builds.

Detects and notifies teams of problematic post-deployment outcomes such as security vulnerabilities.

Control model usage and performance in production

Deploy mission-critical ML applications where and when you need them

Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance.

Reliably automates elements of the database development process.

Validates potential database changes against development, security, and/or compliance standards.

Tracks and manages database changes, allowing users to collaborate on and change the same files without compromising the overall build by introducing conflicting code.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.