Amazon SageMaker vs. NimbleBox.ai

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon SageMaker
Score 8.8 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
NimbleBox.ai
Score 0.0 out of 10
N/A
NimbleBox is a full-stack MLOps platform designed to help data scientists and machine learning practitioners around the world discover, create, and launch multi-cloud applications on an intuitive browser-based platform. The vendor states their platform is purpose-built for large datasets and supports all major machine learning frameworks, enabling developers to train and deploy at scale while maintaining accuracy.N/A
Pricing
Amazon SageMakerNimbleBox.ai
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Amazon SageMakerNimbleBox.ai
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Amazon SageMakerNimbleBox.ai
Best Alternatives
Amazon SageMakerNimbleBox.ai
Small Businesses
InterSystems IRIS
InterSystems IRIS
Score 8.0 out of 10
Google Cloud AI
Google Cloud AI
Score 8.4 out of 10
Medium-sized Companies
InterSystems IRIS
InterSystems IRIS
Score 8.0 out of 10
Google Cloud AI
Google Cloud AI
Score 8.4 out of 10
Enterprises
Dataiku
Dataiku
Score 8.5 out of 10
Dataiku
Dataiku
Score 8.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon SageMakerNimbleBox.ai
Likelihood to Recommend
9.0
(5 ratings)
-
(0 ratings)
User Testimonials
Amazon SageMakerNimbleBox.ai
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.
Read full review
NimbleBox.ai
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
Read full review
NimbleBox.ai
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.
Read full review
NimbleBox.ai
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.
Read full review
NimbleBox.ai
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.
Read full review
NimbleBox.ai
No answers on this topic
ScreenShots