Audience
Machine Learning solution for companies
About Pachyderm
Pachyderm’s Data Versioning gives teams an automated and performant way to keep track of all data changes. File-based versioning provides a complete audit trail for all data and artifacts across pipeline stages, including intermediate results. Stored as native objects (not metadata pointers) so that versioning is automated and guaranteed. Autoscale with parallel processing of data without writing additional code. Incremental processing saves compute by only processing differences and automatically skipping duplicate data. Pachyderm’s Global IDs make it easy for teams to track any result all the way back to its raw input, including all analysis, parameters, code, and intermediate results. The Pachyderm Console provides an intuitive visualization of your DAG (directed acyclic graph), and aids in reproducibility with Global IDs.
Other Popular Alternatives & Related Software
Polyaxon
A Platform for reproducible and scalable Machine Learning and Deep Learning applications. Learn more about the suite of features and products that underpin today's most innovative platform for managing data science workflows. Polyaxon provides an interactive workspace with notebooks, tensorboards, visualizations,and dashboards. Collaborate with the rest of your team, share and compare experiments and results. Reproducible results with a built-in version control for code and experiments. Deploy Polyaxon in the cloud, on-premises or in hybrid environments, including single laptop, container management platforms, or on Kubernetes. Spin up or down, add more nodes, add more GPUs, and expand storage.
Learn more
Union Cloud
Union.ai is an award-winning, Flyte-based data and ML orchestrator for scalable, reproducible ML pipelines. With Union.ai, you can write your code locally and easily deploy pipelines to remote Kubernetes clusters.
“Flyte’s scalability, data lineage, and caching capabilities enable us to train hundreds of models on petabytes of geospatial data, giving us an edge in our business.”
— Arno, CTO at Blackshark.ai
“With Flyte, we want to give the power back to biologists. We want to stand up something that they can play around with different parameters for their models because not every … parameter is fixed. We want to make sure we are giving them the power to run the analyses.”
— Krishna Yeramsetty, Principal Data Scientist at Infinome
“Flyte plays a vital role as a key component of Gojek's ML Platform by providing exactly that."
— Pradithya Aria Pura, Principal Engineer at Goj
Learn more
IBM Rational ClearCase
IBM Rational ClearCase provides controlled access to software assets, including code, requirements, design documents, models, test plans and test results. It features parallel development support, automated workspace management, baseline management, secure version management, reliable build auditing, and flexible access virtually anytime, anywhere. Allows you to delete previous versions, create and delete branches, list version histories, and compare and merge versions. Provides development and integration models, private workspaces and public integration areas. Includes user authentication and audit trails to help meet compliance requirements with minimal administrative hassle. Allows you to control personal workspaces and provides access to the file and directory versions you need.
Learn more
MLflow
MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components. Record and query experiments: code, data, config, and results. Package data science code in a format to reproduce runs on any platform. Deploy machine learning models in diverse serving environments. Store, annotate, discover, and manage models in a central repository. The MLflow Tracking component is an API and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for later visualizing the results. MLflow Tracking lets you log and query experiments using Python, REST, R API, and Java API APIs. An MLflow Project is a format for packaging data science code in a reusable and reproducible way, based primarily on conventions. In addition, the Projects component includes an API and command-line tools for running projects.
Learn more
Integrations
Company Information
Pachyderm
www.pachyderm.com
Videos and Screen Captures
Other Useful Business Software
The Most Powerful Software Platform for EHSQ and ESG Management
Choose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
Product Details
Platforms Supported
Cloud
Training
Documentation
Live Online
Support
Online
