# Google Cloud AutoML Software Pricing, Alternatives & More 2026 | Capterra > With the help of Capterra, learn about Google Cloud AutoML Software - reviews, pricing plans, popular comparisons to other Machine Learning products and more. Source: https://www.capterra.com/p/246682/AutoML/reviews --- # Google Cloud AutoML Software Review 2026: Features, Reviews, Integrations, Pros & Cons Last updated on November 15, 2025 Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[FAQs](#faqs)[Features](#features)[Pricing](#pricing)[Support](#support)[Reviews](#reviews) Google Cloud AutoML ## What is Google Cloud AutoML? AutoML is a cloud tool for developers with limited ML expertise to create and train custom training models. Users can upload labeled or unlabeled images via the UI to train, deploy, and serve them. It also allows admins to analyze quality stats and generate predictions through the UI or a REST API. The tool uses transfer learning (TL) via Google Colab and a neural architecture search (NAS) method to help increase ML model speeds and generate predictions more accurately. AutoML annotates images and cleans labels to boost data quality and relieve pressure from time-consuming ML tasks. It is suitable for automating ML workflows via automatic training and multi-model tuning. Vision API models can be used to detect emotion or understand texts. The system searches for language pair translations and classifies images or text through natural language processing (NLP). It features several algorithms to enable deep-learning model customization without data science or programming knowledge. ## What is Google Cloud AutoML used for? [Machine Learning](https://www.capterra.com/machine-learning-software/) Top alternative Featured Overall rating Based on 5 user reviews Reviews sentiment Positive \- Neutral \- Negative \- Contact vendor for pricing Free trial not available Free version not included Capterra Shortlist charts the highest-rated and most popular products... Our "Best of" badge program showcases products with the highest ratings... Our "Best of" badge program showcases products with the highest ratings... Do you work for Google Cloud AutoML?[Manage this product listing](https://digitalmarkets.gartner.com/get-listed/claim-bx?url=https://www.google.com/webhp&name=Google Cloud AutoML) ## Compare with a popular alternative Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status. ### Google Cloud AutoML 4.2 (5) VS. [4.5 (388)](https://www.capterra.com/p/109731/Minitab-Statistical-Software/reviews/) Starting Price Contact vendor Starting Price $1851 Flat Rate, Per Year Free Trial Free Version Pricing Options Free Trial Free Version Ease Of Use 4.6 (5) Ease Of Use 4.2 (388) Value For Money 4.0 (3) Value For Money 4.2 (294) Customer Service 4.3 (4) Customer Service 4.2 (282) ## Google Cloud AutoML alternatives Highest Rated [Rayven](https://www.capterra.com/p/173908/Rayven-Industrial-business-intelligence/) [5.0 (24)](https://www.capterra.com/p/173908/Rayven-Industrial-business-intelligence/#reviews) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 100% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/173908/Rayven-Industrial-business-intelligence/) [Clickworker](https://www.capterra.com/p/175432/Clickworker/) [4.3 (58)](https://www.capterra.com/p/175432/Clickworker/reviews/) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 90% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/175432/Clickworker/) [Google Cloud](https://www.capterra.com/p/268690/Google-Cloud-Platform/) [4.7 (2,288)](https://www.capterra.com/p/268690/Google-Cloud-Platform/reviews/) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 96% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/268690/Google-Cloud-Platform/) [Anaconda](https://www.capterra.com/p/191760/Anaconda/) [4.6 (86)](https://www.capterra.com/p/191760/Anaconda/reviews/) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 95% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/191760/Anaconda/) [View all alternatives](https://www.capterra.com/p/246682/AutoML/alternatives/) ## FAQs about Google Cloud AutoML Overview ### What company size and specific industries is Google Cloud AutoML built for? Google Cloud AutoML targets businesses of any size that work in research, cybersecurity, data processing, or analysis and need to train machine-learning models or generate predictions. It is suited to organizations in technical, data-driven sectors rather than a single company size category. Features and Usability ### What are the key features of Google Cloud AutoML? Google Cloud AutoML offers model training, predictive modeling, and statistical modeling for building custom machine learning models. It also includes natural language processing, data preparation, data import/export, and data capture and transfer. Additional features include an API, user management, activity dashboard, and data visualization tools. Integrations ### Which third-party tools and platforms does Google Cloud AutoML integrate with? Google Cloud AutoML integrates with Data Annotation Platform, supporting data preparation and model training workflows. This third-party connection helps connect labeling tasks with AutoML workflows, giving teams a direct path from annotated data to model development. Answer based on 1 reviews Getting Started and Support ### What training and onboarding options does Google Cloud AutoML offer? Google Cloud AutoML provides documentation for teams getting started with the product. This written material supports self-paced reference for setup, feature review, and checking steps as needed during onboarding and ongoing use. Getting Started and Support ### What customer support options does Google Cloud AutoML offer? Google Cloud AutoML provides email/help desk support and chat. These are the only support channels listed for the product, and no reviewer feedback is available here to describe response speed, helpfulness, or common support frustrations. ## Features Features with the highest number of reviews are displayed first. Those that have no reviews appear next, sorted alphabetically. Activity Dashboard 4.0 (1) 100.00% of 1 reviewers that rated this feature as important or highly important Dashboard to view the status of ongoing processes, identify current incidents and track past activities Data Capture and Transfer 5.0 (1) 0.00% of 1 reviewers that rated this feature as important or highly important Import, collect, and capture data from multiple sources Data Extraction 5.0 (1) 0.00% of 1 reviewers that rated this feature as important or highly important Automatically retrieve and pull information from documents, websites, images, data sets, and other sources Data Import/Export 5.0 (1) 0.00% of 1 reviewers that rated this feature as important or highly important Import and export data to and from software applications Data Visualization 5.0 (1) 100.00% of 1 reviewers that rated this feature as important or highly important Graphical representation of data Model Training 5.0 (1) 100.00% of 1 reviewers that rated this feature as important or highly important Process of testing an ML algorithm by feeding it training data to learn from Google Cloud AutoML 10 features Dashboard to view the status of ongoing processes, identify current incidents and track past activities Application programming interface that allows for integration with other systems/databases Import, collect, and capture data from multiple sources Automatically retrieve and pull information from documents, websites, images, data sets, and other sources Import and export data to and from software applications Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions. Graphical representation of data Process of testing an ML algorithm by feeding it training data to learn from Process and analyze human language in text or audio form Analyzing historical and current data and generating a model to help predict future outcomes. Features 4.4 (5) 4.4 Based on 5 reviews ## Pricing Value for money 4.0 (3) Value for money 4.0 (3) 4.0 Based on 3 reviews ## Support, customer service and training options Customer Service 4.3 (4) Support - Email/Help Desk - FAQs/Forum - Knowledge Base - Phone Support - 24/7 (Live rep) - Chat Training - In Person - Live Online - Webinars - Documentation - Videos Deployment - Web - Android - iPhone/iPad Typical users - Freelancers - Small businesses - Mid size businesses - Enterprises Customer Service 4.3 (4) 4.3 Based on 4 reviews ## User reviews Overall rating 4.2 Based on 5 reviews Filter by rating 5(2) 4(2) 3(1) 2(0) 1(0) Mentioned topic Sorted by most recent JG Julien G. Entraîneur Sports ### "Application de cloud " 3.0 Overall Rating 3.0 3.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 3.0 3.0 Likelihood to Recommend 7/10 October 16, 2023 Pros Application cloud simple d’utilisation et efficace. Je recommande Cons Service client à améliorer concernant l’aide à distance. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. IK Isaac K. Help desk Computer Software ### "Captivating" 4.0 Overall Rating 4.0 4.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 6/10 June 26, 2023 Pros The system is easy to use and user friendly Cons A little bit of lagging and the interface Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. DA Dvock A. Software Tester Information Technology and Services ### "Empowering Machine Learning with Google Cloud AutoML" 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 4.0 4.0 Likelihood to Recommend 8/10 June 16, 2023 Overall, Google Cloud AutoML democratizes machine learning by simplifying and automating the model development process. With its user-friendly interface, customization options, seamless integration, and reliable performance, AutoML empowers businesses and individuals to harness the potential of machine learning. It is a valuable tool for organizations looking to leverage machine learning without the need for extensive technical expertise or resources. Pros Google Cloud AutoML is a powerful and user-friendly tool that brings the potential of machine learning within reach for businesses and individuals alike. With its intuitive interface, extensive feature set, and seamless integration with the Google Cloud ecosystem, AutoML makes it easier than ever to build and deploy custom machine learning models.One of the standout features of Google Cloud AutoML is its user-friendly interface. Even for those without extensive machine learning expertise, the platform provides a smooth onboarding experience. Another key advantage of Google Cloud AutoML is its integration with the broader Google Cloud ecosystem. Cons One aspect that could be improved in Google Cloud AutoML is the pricing structure. While AutoML provides a powerful set of tools, the pricing can be a consideration for some users, especially for larger-scale projects or organizations with budget constraints. The pricing model can be complex, with various factors such as training hours, prediction usage, and storage costs contributing to the overall expenses. A more transparent and simplified pricing structure that is easier to understand and estimate would be beneficial for users. Additionally, introducing more flexible pricing options to accommodate different usage scenarios and budgets would enhance the accessibility of Google Cloud AutoML. Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. NM Nokuthula M. Writer Writing and Editing ### "Google Cloud AutoML is reliable " 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 10/10 May 12, 2023 It always reminds me of the data I saved in the past, even things I have forgotten and it also keeps all my documents safe. I don't have to worry if I lose my gadgets because all the information I value is stored safely. Pros It can automatically download new data from my phone, making things easy for me. I never lose important work documents and personal documents. Cons I just wish I had unlimited space on Google cloud for free. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. BH Boyd H. Freelancer Computer Software ### "Everything in the air" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 4.0 4.0 Customer Service 0.0 0.0 Likelihood to Recommend 9/10 November 30, 2022 Storing data has been this easy, having ally stuff in one place. Pros It's easy to store up data on the cloud especially if it's on auto- back up. Cons Took me a while to hear about it, when its actually easy to use. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. ## Top-rated software of 2026 ### Fill out the form and we'll send a list of the top-rated software based on real user reviews directly to your inbox.