Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Pachyderm's Data Versioning offers teams an efficient and automated method for monitoring all changes to their data. With file-based versioning, users benefit from a comprehensive audit trail that encompasses all data and artifacts at each stage of the pipeline, including intermediate outputs. The data is stored as native objects rather than mere metadata pointers, ensuring that versioning is both automated and reliable. The system can automatically scale by utilizing parallel processing for data without the need for additional coding. Incremental processing optimizes resource usage by only addressing the differences in data and bypassing any duplicates. Additionally, Pachyderm’s Global IDs simplify the tracking of results back to their original inputs, capturing all relevant analysis, parameters, code, and intermediate outcomes. The intuitive Pachyderm Console further enhances user experience by providing clear visualizations of the directed acyclic graph (DAG) and supports reproducibility through Global IDs, making it a valuable tool for teams managing complex data workflows. This comprehensive approach ensures that teams can confidently navigate their data pipelines while maintaining accuracy and efficiency.
Description
Select the necessary configuration and resources for particular code segments in your ongoing project, as it only takes a few seconds to implement changes in a training scenario and secure the results. Opt for the appropriate setup for computational resources to initiate model training in mere seconds, allowing everything to be generated automatically without the hassle of infrastructure management. You can choose between serverless or dedicated operating modes, and efficiently manage project data, saving it to datasets while establishing connections to databases, object storage, or other repositories, all from a single interface. Collaborate with teammates globally to develop a machine learning model, share the project, and allocate budgets for teams throughout your organization. Launch your machine learning initiatives in minutes without requiring developer assistance, and conduct experiments that enable the simultaneous release of various model versions. This streamlined approach fosters innovation and enhances collaboration among team members, ensuring that everyone is on the same page.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Determined AI
Yes
Jupyter Notebook
No
Label Studio
Yes
PyTorch
No
TensorFlow
No
Yandex Cloud
No
Yandex Data Proc
No
YandexGPT
No
Integrations
Determined AI
No
Jupyter Notebook
Yes
Label Studio
No
PyTorch
Yes
TensorFlow
Yes
Yandex Cloud
Yes
Yandex Data Proc
Yes
YandexGPT
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0.095437 per GB
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
No
Android App
Yes
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Pachyderm
Website
www.pachyderm.com
Vendor Details
Company Name
Yandex.Cloud
Founded
1997
Country
Russia
Website
cloud.yandex.com/en/services/datasphere
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No