HPE Ezmeral Machine Learning Ops vs. Weights & Biases

HPE Ezmeral Machine Learning Ops

HPE Ezmeral Machine Learning Ops

0 Reviews and Ratings

Weights & Biases

Weights & Biases

2 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
HPE Ezmeral Machine Learning Ops	Score 0.0 out of 10	N/A	HPE Ezmeral Machine Learning Ops is presented by the vendor as a solution that brings DevOps-like agility to the entire machine learning lifecycle. The HPE Ezmeral ML Ops solution supports every stage of ML lifecycle—data preparation, model build, model training, model deployment, collaboration, and monitoring. HPE Ezmeral ML Ops is an end-to-end data science solution with the flexibility to run on-premises, in multiple public clouds, or in a hybrid model and respond to dynamic business…	N/A
Weights & Biases	Score 10.0 out of 10	N/A	Weights & Biases helps machine learning teams build better models. Practitioners can debug, compare and reproduce their models — architecture, hyperparameters, git commits, model weights, GPU usage, datasets and predictions — and collaborate with their teammates.	$50 per month per user

Pricing

HPE Ezmeral Machine Learning Ops

Weights & Biases

Editions & Modules

No answers on this topic

Starter: $50
per month per user
Enterprise: custom pricing

Offerings

Pricing Offerings
HPE Ezmeral Machine Learning Ops	Weights & Biases
Free Trial
No	No
Free/Freemium Version
No	Yes
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

No setup fee

Additional Details

—

—

More Pricing Information

Community Pulse
	HPE Ezmeral Machine Learning Ops	Weights & Biases
Top Pros	Pro Data science Pro Complete visibility Pro Highly scalable	No answers on this topic
Top Cons	Minus Allows data Minus Data scientists Minus Highly available	No answers on this topic

Best Alternatives
	HPE Ezmeral Machine Learning Ops	Weights & Biases
Small Businesses	Google Cloud AI Score 8.5 out of 10	Google Cloud AI Score 8.5 out of 10
Medium-sized Companies	Google Cloud AI Score 8.5 out of 10	Google Cloud AI Score 8.5 out of 10
Enterprises	Dataiku Score 8.6 out of 10	Dataiku Score 8.6 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	HPE Ezmeral Machine Learning Ops	Weights & Biases
Likelihood to Recommend	- (0 ratings)	10.0 (1 ratings)

User Testimonials
	HPE Ezmeral Machine Learning Ops	Weights & Biases
Likelihood to Recommend	Hewlett Packard Enterprise No answers on this topic	Weights & Biases No brainer to use it when doing ML experiments as it is very easy compared to any other open source tool. You don't have to host anything like in Tensorboard. Experiment details can be shared very easily with public using the reports Incentivized Verified User Anonymous Read full review
Pros	Hewlett Packard Enterprise No answers on this topic	Weights & Biases Metrics Logging Hyperparmeters Sweeps Model Artifcats Incentivized Verified User Anonymous Read full review
Cons	Hewlett Packard Enterprise No answers on this topic	Weights & Biases Dashboard lags when we log a lot of metrics Improved support for matplotlib charts and documentation of wandb custom charts is not straghtforward Incentivized Verified User Anonymous Read full review
Return on Investment	Hewlett Packard Enterprise No answers on this topic	Weights & Biases Made it very easy to track experiments Track ML and Business Metrics improvements across experiments Reproduce runs which is essential in ML modelling Incentivized Verified User Anonymous Read full review
ScreenShots		Weights & Biases Screenshots