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Google Cloud AutoML

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Company health

Employee growth
69% increase in the last year
Web traffic
2% decrease in the last quarter
Financing
July 2018 - $16M

Ratings

G2
4.1/5
(22)
Glassdoor
3.5/5
(2)

Google Cloud AutoML description

Google Cloud AutoML is a suite of tools that lets you build custom machine learning models, even without deep technical expertise. It uses Google's advanced technologies to create models tailored for your specific needs, whether analyzing text, images, video, or tabular data. You can then easily deploy and scale these models. AutoML is part of Google Cloud's Vertex AI platform, offering a user-friendly way to harness the power of machine learning for your business.

Who is Google Cloud AutoML best for

Google Cloud AutoML lets businesses build custom machine learning models, even without deep technical expertise. Users find it easy to use, with fast model training and seamless integration with Google Cloud. It's particularly effective for companies in healthcare, media, and software, like Imagia for disease detection and Meredith for content classification. Keep in mind that some users find it expensive.

  • Great for any size business (from 1-1000+ employees) looking to leverage custom ML models without needing a team of experts.

  • We see this as a fit for healthcare, media, and software companies ready to deploy tailored machine learning.

Google Cloud AutoML features

Supported

Custom ML model training: Build custom machine learning models with minimal effort and machine learning expertise.

Supported

Multiple data type support: Analyze various data types, including text, images, video, and tabular data.

Supported

Model deployment and scaling: Deploy and scale trained machine learning models easily.

Supported

Image analysis: Object detection and image classification, in the cloud or at the edge.

Supported

Video analysis: Video analysis capabilities, including annotation, streaming analysis, shot change detection, and object detection and tracking.

Supported

Text analysis: Text analysis capabilities, including custom entity extraction and sentiment analysis.

Supported

Tabular data training: Machine learning models for structured data.

Google Cloud AutoML reviews

We've summarised 22 Google Cloud AutoML reviews (Google Cloud AutoML G2 reviews) and summarised the main points below.

Pros of Google Cloud AutoML
  • Ease of use and simple interface, even for non-ML experts.
  • Fast model training and deployment with efficient transfer learning.
  • Powerful performance and accurate results, especially for image recognition.
  • Seamless integration with other Google Cloud services.
  • Access to Google's human labeling service for data quality.
Cons of Google Cloud AutoML
  • Occasional bugs and glitches reported during beta phase.
  • Limited quota limits, even for students.
  • Concerns about data ownership and Google's access to training data.
  • Can be expensive, especially for custom training and large datasets.
  • Some find the platform a "black box," lacking transparency in model building.

Google Cloud AutoML pricing

The commentary is based on 1 reviews from Google Cloud AutoML G2 reviews.

We find that AutoML offers a simple interface and integrates well with other Google Cloud services. However, the pricing can be substantial, especially for custom training. It may not be the most budget-friendly option for all users.

See the Google Cloud AutoML pricing page.

Google Cloud AutoML alternatives

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    Vertex AI Notebooks
    Cloud-hosted notebooks for data science and machine learning.
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  • Logo of Google Cloud AutoML Natural Language
    Google Cloud AutoML Natural Language
    Easily build custom AI to analyze text, no coding needed.
    Read more
  • Logo of Vertex AI
    Vertex AI
    Unified machine learning platform to build, deploy, and scale AI.
    Read more
  • Logo of Google Cloud AutoML Vision
    Google Cloud AutoML Vision
    Custom image recognition models, no coding needed.
    Read more
  • Logo of Simplismart
    Simplismart
    Build, train, and use AI models without code. Fast, easy, affordable.
    Read more

Google Cloud AutoML FAQ

  • What is Google Cloud AutoML and what does Google Cloud AutoML do?

    We find that Google Cloud AutoML enables users to create custom machine learning models without coding expertise. It supports various data types (text, images, video, tables) and easily deploys these models. It's part of Google Cloud's Vertex AI, making machine learning accessible.

  • How does Google Cloud AutoML integrate with other tools?

    We find that Google Cloud AutoML seamlessly integrates with other Google Cloud services, facilitating streamlined workflows. This allows you to leverage the power of Google's ecosystem for a comprehensive machine learning experience.

  • What the main competitors of Google Cloud AutoML?

    We find that Google Cloud AutoML's main competitors include Amazon SageMaker, Microsoft Azure Automated ML, and DataRobot. These platforms offer similar automated machine learning capabilities for businesses seeking to build and deploy custom models.

  • Is Google Cloud AutoML legit?

    Yes, Google Cloud AutoML is a legitimate product from Google. We find it's a powerful tool for building custom machine learning models without needing extensive coding knowledge. It integrates well with other Google Cloud services and offers good performance.

  • How much does Google Cloud AutoML cost?

    We couldn't find pricing details for Google Cloud AutoML. Contact Google Cloud sales for a customized quote based on your specific needs.

  • Is Google Cloud AutoML customer service good?

    Based on the reviews, Google Cloud AutoML's customer service seems efficient and user-friendly. However, some users have pointed out potential security and permission issues that might require attention.

Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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