Software Alternatives & Reviews

Aquarium VS Amazon Machine Learning

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

Aquarium logo Aquarium

Improve ML models by improving datasets they’re trained on

Amazon Machine Learning logo Amazon Machine Learning

Machine learning made easy for developers of any skill level
  • Aquarium Landing page
    Landing page //
    2023-09-26
  • Amazon Machine Learning Landing page
    Landing page //
    2023-03-13

Aquarium videos

What Happened To This PRO Aquarium Fish Keeper?! | Fish Tank Review 34

More videos:

  • Review - Petsmart Top Fin 5 Gallon Glass Aquarium $49.99 Unboxing Review!

Amazon Machine Learning videos

Introduction to Amazon Machine Learning - Predictive Analytics on AWS

More videos:

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

Category Popularity

0-100% (relative to Aquarium and Amazon Machine Learning)
Developer Tools
31 31%
69% 69
AI
21 21%
79% 79
Data Science And Machine Learning
Tech
41 41%
59% 59

User comments

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Social recommendations and mentions

Amazon Machine Learning might be a bit more popular than Aquarium. We know about 2 links to it since March 2021 and only 2 links to Aquarium. 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.

Aquarium mentions (2)

  • Ask HN: Who is hiring? (November 2021)
    Aquarium (https://aquariumlearning.com/) | Remote Only (North American Timezones) | Full Time Aquarium is an ML data management system that helps ML teams improve their models by improving their datasets. Aquarium uncovers problems in your dataset, then helps you edit or add data to fix these problems and optimize your model performance. We are looking for our first Product Manager and are also hiring for... - Source: Hacker News / over 2 years ago
  • ML Data Management — A Primer
    #ML is maturing and teams are less concerned about having enough #data, but rather having the right data. ML data management tooling helps improve ML models by improving datasets. Check out our piece below that discusses trends in the space and startups like aquariumlearning.com, Tryunbox.ai, Lightly.ai, Scale, and Labelbox. https://medium.com/memory-leak/ml-data-management-a-primer-a635a5eac858. Source: over 2 years ago

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 1 year 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 3 years ago

What are some alternatives?

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

Scale Nucleus - The mission control for your ML data

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

PerceptiLabs - A tool to build your machine learning model at warp speed.

Lobe - Visual tool for building custom deep learning models

Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.

Apple Machine Learning Journal - A blog written by Apple engineers