Amazon SageMaker vs. Datatron MLOps Platform

Amazon SageMaker

52 Reviews and Ratings

Datatron MLOps Platform

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Amazon SageMaker	Score8.3 out of 10	N/A	Amazon SageMaker enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.	N/A
Datatron MLOps Platform	N/A	Enterprise companies (1,001+ employees)	Datatron is an MLOps platform that helps businesses deploy, catalog, manage, monitor, & govern ML models in production (on-prem, in any cloud, or integrated feature-by-feature via our API). Datatron is vendor, library, and framework agnostic and supports models built on any stack, including AWS, Azure, GCP, SAS, H2O, Python, R, Scikit-Learn, and Tensor-Flow. Whether users are just getting started in MLOps, or want to remedy or supplement a homegrown solution, Datatron…	N/A

Pricing

Amazon SageMaker

Datatron MLOps Platform

No answers on this topic

No answers on this topic

Pricing Offerings
Amazon SageMaker	Datatron MLOps Platform
Free Trial
No	Yes
Free/Freemium Version
No	No
Premium Consulting/Integration Services
No	Yes

No setup fee

No setup fee

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Best Alternatives
	Amazon SageMaker	Datatron MLOps Platform
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Medium-sized Companies	DataRobot Score8.2 out of 10	No answers on this topic
Enterprises	DataRobot Score8.2 out of 10	No answers on this topic
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User Ratings
	Amazon SageMaker	Datatron MLOps Platform
Likelihood to Recommend	9.0 (5 ratings)	- (0 ratings)

User Testimonials
	Amazon SageMaker	Datatron MLOps Platform
Likelihood to Recommend	Amazon AWS It allows for one-click processes and for things to be auto checked before they are moved through the process but through the system. It also makes training easy. I am able to train users on the basic fundamentals of the tool and how it is used very easily as it is fully managed on its own which is incredible. Incentivized Verified User Read full review	Datatron No answers on this topic
Pros	Amazon AWS Machine Learning at scale by deploying huge amount of training data Accelerated data processing for faster outputs and learnings Kubernetes integration for containerized deployments Creating API endpoints for use by technical users Incentivized Verified User Read full review	Datatron No answers on this topic
Cons	Amazon AWS It's very good for the hardcore programmer, but a little bit complex for a data scientist or new hire who does not have a strong programming background. Most of the popular library and ML frameworks are there, but we still have to depend on them for new releases. Incentivized Verified User Read full review	Datatron No answers on this topic
Alternatives Considered	Amazon AWS Amazon SageMaker took the heavy lifting out of building and creating models. It allowed for our organization to use our current system for integration and essentially added on a feature to help all levels of Data scientists and IT professionals in our department and company as a whole. The training was simple as well. Incentivized Verified User Read full review	Datatron No answers on this topic
Return on Investment	Amazon AWS We have been able to deliver data products more rapidly because we spend less time building data pipelines and model servers. We can prototype more rapidly because it is easy to configure notebooks to access AWS resources. For our use-cases, serving models is less expensive with SageMaker than bespoke servers. Incentivized Gavin Hackeling Data Scientist Read full review	Datatron No answers on this topic
ScreenShots		Datatron MLOps Platform Screenshots