Software Alternatives, Accelerators & Startups
Register | Login

Amazon Machine Learning VS DataStories

Compare Amazon Machine Learning VS DataStories and see what are their differences

Electe
Discover Electe, our data analytics platform dedicated to SMEs. Don't let your data go unused, take your business into the future! featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Amazon Machine Learning logo Amazon Machine Learning

Machine learning made easy for developers of any skill level

DataStories logo DataStories

DataStories is an easy to use augmented analytics software. It is uniquely suitable for problems supported by somewhat structured data of unknown quality with too many variables of unknown significance.
  • Amazon Machine Learning Landing page
    Landing page //
    2023-03-13
  • DataStories Landing page
    Landing page //
    2023-10-07

Amazon Machine Learning features and specs

  • Scalability
    Amazon Machine Learning can handle increased workloads easily without significant changes in the infrastructure, making it ideal for growing businesses.
  • Integration with AWS
    Seamlessly integrates with other AWS services like S3, EC2, and Lambda, simplifying data storage, processing, and deployment.
  • Ease of Use
    User-friendly AWS Management Console and APIs make it easier for developers to build, train, and deploy machine learning models without needing deep ML expertise.
  • Performance
    Offers high-performance computing capabilities that can accelerate the training and inference processes for machine learning models.
  • Cost-Effective
    Pay-as-you-go pricing model ensures that you only pay for what you use, making it a cost-effective solution for various ML needs.
  • Prebuilt AI Services
    Provides prebuilt, ready-to-use AI services like Amazon Rekognition, Amazon Comprehend, and Amazon Polly, which simplify the implementation of complex ML solutions.

Possible disadvantages of Amazon Machine Learning

  • Complexity
    While the service is designed to be user-friendly, the underlying complexity of Machine Learning algorithms and models can be a barrier for novice users.
  • Vendor Lock-In
    Using Amazon Machine Learning extensively may lead to dependency on AWS services, making it difficult to switch providers or integrate with non-AWS services in the future.
  • Cost Management
    Although pay-as-you-go is cost-effective, if not managed properly, costs can quickly escalate especially with extensive use and large-scale data processing.
  • Limited Customization
    Prebuilt models and services may lack the level of customization needed for highly specialized use-cases requiring unique algorithms or configurations.
  • Data Privacy
    Storing and processing sensitive data on an external service may raise concerns regarding data privacy and compliance with data protection regulations.
  • Learning Curve
    Despite its ease of use, there is still a learning curve associated with mastering the AWS ecosystem and effectively utilizing its machine learning capabilities.

DataStories features and specs

No features have been listed yet.

Amazon Machine Learning videos

+ Add

Introduction to Amazon Machine Learning - Predictive Analytics on AWS

More videos:

  • Tutorial - AWS Machine Learning Tutorial | Amazon Machine Learning | AWS Training | Edureka

DataStories videos

No DataStories videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Amazon Machine Learning and DataStories)

Amazon Machine Learning

DataStories

AI
97 97%
AI
3% 3
Data Science And Machine Learning
91 91%
Data Science And Machine Learning
9% 9
Developer Tools
100 100%
Developer Tools
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using Amazon Machine Learning and DataStories. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Amazon Machine Learning seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Amazon Machine Learning mentions (2)

  • Rant + Planning to learn full stack development
    There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: over 2 years ago
  • Ask the Experts: AWS Data Science and ML Experts - Mar 9th @ 8AM ET / 1PM GMT!
    Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: about 4 years ago

DataStories mentions (0)

We have not tracked any mentions of DataStories yet. Tracking of DataStories recommendations started around Mar 2021.

What are some alternatives?

When comparing Amazon Machine Learning and DataStories, you can also consider the following products

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

SAS JMP - Interactive, visual statistical data analysis from SAS.

Apple Machine Learning Journal - A blog written by Apple engineers

Design-Expert - Design of Experiment software.

Lobe - Visual tool for building custom deep learning models

Minitab - Minitab helps businesses increase efficiency and improve quality through smart data analysis.

Loading...