--- title: Google Cloud AutoML Reviews meta_title: 'Google Cloud AutoML Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 22 reviews by the users' company size, role or industry to find out how Google Cloud AutoML works for a business like yours. aggregate_rating: rating_value: 4.1 review_count: 22 scale: '5' date_modified: '2026-06-17' parent_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence --- # Google Cloud AutoML Reviews **Vendor:** Google **Category:** [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) **Average Rating:** 4.1/5.0 **Total Reviews:** 22 ## About Google Cloud AutoML Google Cloud AutoML is a suite of machine learning products designed to enable developers with limited expertise to train high-quality custom models tailored to their specific business needs. By leveraging Google's advanced transfer learning and neural architecture search technologies, AutoML simplifies the process of building, deploying, and scaling machine learning models, making AI more accessible to a broader audience. Key Features and Functionality: - Automated Model Training: AutoML automates the selection of model architecture and hyperparameter tuning, reducing the need for manual intervention and specialized knowledge. - User-Friendly Interface: The platform offers an intuitive graphical interface that allows users to upload data, train models, and manage deployments with ease. - Versatile Model Types: AutoML supports various data types and tasks through specialized services: - AutoML Vision: For image classification and object detection. - AutoML Natural Language: For text classification, sentiment analysis, and entity recognition. - AutoML Translation: For creating custom translation models between language pairs. - AutoML Video Intelligence: For video classification and object tracking. - AutoML Tables: For structured data tasks like regression and classification. - Seamless Integration: AutoML integrates with other Google Cloud services, facilitating efficient data management, model deployment, and scalability. Primary Value and Problem Solving: Google Cloud AutoML democratizes machine learning by enabling users without deep technical expertise to develop and deploy custom models. This accessibility allows businesses to harness the power of AI to solve complex problems, such as improving customer experiences through personalized recommendations, automating content moderation, enhancing language translation services, and gaining insights from large datasets. By reducing the barriers to entry, AutoML empowers organizations to innovate and stay competitive in their respective industries. ## Google Cloud AutoML Pros & Cons **What users like:** - Users value the **seamless AI integration** of Google Cloud AutoML, making machine learning accessible and efficient. (1 reviews) - Users find Google Cloud AutoML's **ease of use** remarkable, simplifying the machine learning model training process effectively. (1 reviews) - Users commend the **easy integrations** of Google Cloud AutoML, making workflows smooth and efficient with other Google services. (1 reviews) - Users appreciate the **seamless integration** of Google Cloud AutoML, which enhances the ease of training machine learning models. (1 reviews) - Users appreciate the **intuitive interface** of Google Cloud AutoML, making model training accessible to all skill levels. (1 reviews) - Machine Learning (1 reviews) - User Interface (1 reviews) **What users dislike:** - Users find the **cost prohibitive** for small projects or students, impacting accessibility and usage of Google Cloud AutoML. (1 reviews) - Users find the pricing of Google Cloud AutoML to be **expensive** , particularly for small projects or students. (1 reviews) ## Google Cloud AutoML Reviews ### 1. Fast and reliable AutoML platform for building ML model with case **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** September 10, 2025 **What do you like best about Google Cloud AutoML?** Google Colud AutoML makes it very easy to train high-quality machine learning models without requiring deep ML expertise .the interface is intuitive , the decumentation is clear and the integration with other Google could services is seamless. **What do you dislike about Google Cloud AutoML?** The pricing can be expensive for small projects or students **What problems is Google Cloud AutoML solving and how is that benefiting you?** It saves me a lot of time. I don't have to code everything from scratch, I can just focus on the data and get a working model quickly. ### 2. Google Cloud AutoML: Powerful performance and efficient ML kit **Rating:** 4.5/5.0 stars **Reviewed by:** Ravi P. | Machine Learning Engineer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** August 17, 2019 **What do you like best about Google Cloud AutoML?** Google AutoML kit is one of the best platforms for developers of Machine Learning, as the main benefit is that it is from Google and ML is highly affected by Google. In that manner, Google's AutoML kit provides very sophisticated ML techniques and algorithms support. In addition to that, the performance and accuracy of AutoML algorithms are way better than other ML platforms. Create and train the model of any specific problems is very easy and fast. Google AutoML Algorithms and techniques can easily handle large and complex data processing and as is it on the cloud, I get extremely good GPU support that would rather cost me thousands of bucks. It really makes the difference in how I develop ML applications. **What do you dislike about Google Cloud AutoML?** One thing I believe can be improved that Google can get know regarding my private data sets which sometimes can be a privacy issue for some users. So, Google may introduce some private data loading techniques on AutoMl platform. Other than that there are not any major issues in it. **Recommendations to others considering Google Cloud AutoML:** Google Could AutoML is a very cost-effective solution in terms of hardware resources. Also, with that, you will get security as well as reliable performance for any kind of complex data you want to process. Definitely anyone who is working in ML should go with it once. **What problems is Google Cloud AutoML solving and how is that benefiting you?** I use Google Could AutoML for various purposes such as data preprocessing, dataset manipulation and mainly for model training. We have monthly subsciption based plan for Google AutoML platform at our company and as a machine learning developer, I am utilizing it for developing a different pilot application for demo purpose as well as main projects of ML in it. ### 3. A safe and easy place **Rating:** 4.0/5.0 stars **Reviewed by:** Roberto H. | Full stack, Enterprise (> 1000 emp.) **Reviewed Date:** July 26, 2019 **What do you like best about Google Cloud AutoML?** This helped our company improve decision-making more quickly and easily. Faced with a set of data of interest, AutoML extracts the dataset of interest from users and determines a high-performance network architecture. It's the quick and easy way to get started quickly and obtain sophisticated models later. Ease of use and the ability to hire interns to tag photos so the senior team can focus on the technology. **What do you dislike about Google Cloud AutoML?** There is still a lot of art associated with training machine learning models. It's difficult for us to debug bad image matches. Every now and then, the beta has a flaw that I can't remove from my model. **What problems is Google Cloud AutoML solving and how is that benefiting you?** I was trying to build an image recognition app at a Hackathon. We are modernizing a laser marking system to use image recognition, and we created an app when it was in alpha for a client to detect their hinges. Backing up data and storage is very necessary. ### 4. Great Training Tool **Rating:** 3.5/5.0 stars **Reviewed by:** Edynn S. | Executive Director , Mid-Market (51-1000 emp.) **Reviewed Date:** November 01, 2018 **What do you like best about Google Cloud AutoML?** You can use Google’s human labeling service to have real-life people annotate or clean your labels to make sure your models are being trained on high-quality data. It helps to make sure your data is clean and your organization can run smoother. It has a simple interface. **What do you dislike about Google Cloud AutoML?** it has an amazing UI and provides a great interface but it is not the cheapest option out there. Especially if you need custom training the price can be pretty hefty. **Recommendations to others considering Google Cloud AutoML:** They provide integration with human labeling which is great for smaller companies to have access to a much larger data base and technology. **What problems is Google Cloud AutoML solving and how is that benefiting you?** Cloud AutoML is fully integrated with other Google Cloud services, providing a method of access across the entire Google Cloud service line. We are able training data in Cloud Storage. To generate a prediction on your trained model, simply use the existing Vision API by adding a parameter for your custom model or use Cloud ML Engine's online prediction service. ### 5. Makes creating machine learning models easier **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Military | Mid-Market (51-1000 emp.) **Reviewed Date:** April 08, 2019 **What do you like best about Google Cloud AutoML?** The tool has facilitate the creation of machine learning models that we use in other applications. **What do you dislike about Google Cloud AutoML?** There is still a lot of art associated with training machine learning models. Some scaffolding to help with how to tune models would be helpful. **What problems is Google Cloud AutoML solving and how is that benefiting you?** We improved the accuracy of our machine learning in an important application. We were shooting for 99.9% accuracy. Our raw ML model got us to 90%, and with some pre- and post-processing of the data, we were able to get close to 99%. ### 6. using cloud auto ml as a building block for complicated computer vision problems **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Oil & Energy | Enterprise (> 1000 emp.) **Reviewed Date:** April 07, 2019 **What do you like best about Google Cloud AutoML?** using cloud auto ml as a building block for complicated computer vision problems. How quickly it trains, clearly doing a great implementation of transfer learning. **What do you dislike about Google Cloud AutoML?** that i cannot take my model out. That i am tied to making predictions through the api of this service. There is no clear upfront description of data ownership, is google reserving the right to look at my training data for future model building? **What problems is Google Cloud AutoML solving and how is that benefiting you?** many problems related to earth sub-surface characterization. ### 7. AutoML for Automated Architecture Search **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Enterprise (> 1000 emp.) **Reviewed Date:** October 26, 2018 **What do you like best about Google Cloud AutoML?** Google's AutoML minimizes the hand-tuning of the hyper-parameters of machine learning algorithm, such as neural networks, deep networks, to near zero. Given a dataset of interest, AutoML takes the dataset of interest from the users and determines a high performing network architecture. **What do you dislike about Google Cloud AutoML?** Given that the AutoML is proprietary software from Google, it is kind of Blackbox to the users, while understandable, users from the same domain kind of benefit from the nuances of the AutoML to deduce more intuitive inferences from insights used by AutoML to determine the network architecture. **What problems is Google Cloud AutoML solving and how is that benefiting you?** AutoML has helped reduce the computational time and resources required to determine architectures for large datasets, such as ImageNet (ILSVR2015) which contains 1.25 million images of 220x320 resolution from real-world scenarios. With that being said, for a dataset of this magnitude, it is near impossible to hand tune effectively hyper-parameters. ### 8. great product **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** April 11, 2019 **What do you like best about Google Cloud AutoML?** Traditionally the major problem with ml apis have been that the services have been too generic for enterprise use. Automl enables us to finally use ml api services in an enterprise context by tailoring the results to the specific use case needs **What do you dislike about Google Cloud AutoML?** Would be good to have ml automl recommendation engine **What problems is Google Cloud AutoML solving and how is that benefiting you?** vision automl ### 9. AutoML for Image Recognition **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Defense & Space | Mid-Market (51-1000 emp.) **Reviewed Date:** April 08, 2019 **What do you like best about Google Cloud AutoML?** Ease of use and ability to hire interns to tag photos so senior staff can focus on tech. **What do you dislike about Google Cloud AutoML?** Hard for us to debug bad imagery matches. **Recommendations to others considering Google Cloud AutoML:** In our case of image recognition, we needed 10s of thousands of pictures. **What problems is Google Cloud AutoML solving and how is that benefiting you?** We are modernizing a laser tag system to instead use image recognition. ### 10. AutoML is the least amount of work to train your models **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Enterprise (> 1000 emp.) **Reviewed Date:** April 08, 2019 **What do you like best about Google Cloud AutoML?** Its the quick and easy way of up and running quickly and getting sophisticated models later on **What do you dislike about Google Cloud AutoML?** Additional modelling techniques can be added in the future. So you have what you have at a given point in time. Could be made dynamic. **What problems is Google Cloud AutoML solving and how is that benefiting you?** Prototyping on some usecases. ### 11. AUTOML Vision **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** April 08, 2019 **What do you like best about Google Cloud AutoML?** I really like the easy way to make ML Models. Even for me as a CEO **What do you dislike about Google Cloud AutoML?** It is still in Beta and sometimes buggy. **What problems is Google Cloud AutoML solving and how is that benefiting you?** we build an app when it was in alpha for a customer to detect their hinges ### 12. Review of AutoML **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Pharmaceuticals | Small-Business (50 or fewer emp.) **Reviewed Date:** April 11, 2019 **What do you like best about Google Cloud AutoML?** simple application for a non-ML experienced user **What do you dislike about Google Cloud AutoML?** There has been nothing found at this time **What problems is Google Cloud AutoML solving and how is that benefiting you?** category recognition - pharma docs Benefits - decent confidence levels are derived after training the model with adequate examples ### 13. Love it! **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Education Management | Small-Business (50 or fewer emp.) **Reviewed Date:** October 17, 2018 **What do you like best about Google Cloud AutoML?** I find that this is tailored to my business's needs when it comes to automating photo identification and transferring systems. It feels really good to have my photos automated and classified efficently. I'm so happy I get to outsource this issue. **What do you dislike about Google Cloud AutoML?** I sometimes find the translations to be a little off and they aren't always accurate or need more photos. I don't use it that often, so I cant't speak more to what I don't like about it. **What problems is Google Cloud AutoML solving and how is that benefiting you?** I am automating photo identification and human identification, and it doesn't need that much information, which is great. The work is very quick and typically very accurate. This can help on a variety of issues in blogging and setting up systems. ### 14. powerful API to desktop user **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Research | Small-Business (50 or fewer emp.) **Reviewed Date:** October 17, 2018 **What do you like best about Google Cloud AutoML?** The vision and text API's were really easy to use, or train on custom datasets. very good tutorials and help available online and supportive community **What do you dislike about Google Cloud AutoML?** The late limits are little too small, even for students **Recommendations to others considering Google Cloud AutoML:** Easy to set up, if at a hackathon, would recommend using this service. **What problems is Google Cloud AutoML solving and how is that benefiting you?** I was trying to build a image recognition application at a Hackathon ### 15. overall good and user friendly **Rating:** 3.5/5.0 stars **Reviewed by:** Matias D. | Project Management Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** November 01, 2018 **What do you like best about Google Cloud AutoML?** It helped our company to enhance our decision making faster and easier. Also it reduced time to market. **What do you dislike about Google Cloud AutoML?** We ran into permissions/security issues but they aren't too hard tor resolve. **What problems is Google Cloud AutoML solving and how is that benefiting you?** Improve business process agility Improve business process outcomes Improve customer relations/service ### 16. A little difficult to use **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Research | Small-Business (50 or fewer emp.) **Reviewed Date:** November 01, 2018 **What do you like best about Google Cloud AutoML?** This software gets the job done. It is beneficial for newer protocols and analysis. **What do you dislike about Google Cloud AutoML?** It is not the easiest software to use and requires a lot of training. When starting a new project there are many things that determine the ease of use depending on the type of project and the complexity of analysis. **What problems is Google Cloud AutoML solving and how is that benefiting you?** The program allows to create customized models for the work that we've been doing/ ### 17. Fast and easy **Rating:** 4.0/5.0 stars **Reviewed by:** Mina S. | Senior Business Specialist, Financial Services, Mid-Market (51-1000 emp.) **Reviewed Date:** October 31, 2018 **What do you like best about Google Cloud AutoML?** Fast and easy and secure mo service with high quality **What do you dislike about Google Cloud AutoML?** There is a lot of permission and security issues **What problems is Google Cloud AutoML solving and how is that benefiting you?** Great for machine learning for people without so many experiences ### 18. Great experience **Rating:** 4.0/5.0 stars **Reviewed by:** Stasiu S. | Owner, Small-Business (50 or fewer emp.) **Reviewed Date:** October 17, 2018 **What do you like best about Google Cloud AutoML?** Very easy to use, I was able to pick it up and learn pretty quickly. **What do you dislike about Google Cloud AutoML?** Nothing really. Everynow and then the beta has a glitch **What problems is Google Cloud AutoML solving and how is that benefiting you?** Has really helped me to expand quicker. ### 19. A safe easy place **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Accounting | Small-Business (50 or fewer emp.) **Reviewed Date:** November 01, 2018 **What do you like best about Google Cloud AutoML?** The real time feature and the ability to connect with others **What do you dislike about Google Cloud AutoML?** It is still in the trial period so I have not come across anything that I don't like **What problems is Google Cloud AutoML solving and how is that benefiting you?** The ability to categorize who should see different emails, different requests, etc., Versus the company needing to figure out who should work on what and respond to ### 20. works well **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Online Media | Mid-Market (51-1000 emp.) **Reviewed Date:** November 01, 2018 **What do you like best about Google Cloud AutoML?** I like the google sheets/docs. it is a great way to collaborate. **What do you dislike about Google Cloud AutoML?** google hangout is not as good as slack because you can't upload documents **What problems is Google Cloud AutoML solving and how is that benefiting you?** it helps us create documents and collaborate. ### 21. Google Cloud **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Entertainment | Small-Business (50 or fewer emp.) **Reviewed Date:** October 17, 2018 **What do you like best about Google Cloud AutoML?** Google’s cloud implementation is top notch! **What do you dislike about Google Cloud AutoML?** A little buggy in some areas. Need to be ironed out. **What problems is Google Cloud AutoML solving and how is that benefiting you?** The benefits have been great. We can get products and information out to customers better than ever. ### 22. Very convenient **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Consumer Goods | Small-Business (50 or fewer emp.) **Reviewed Date:** October 17, 2018 **What do you like best about Google Cloud AutoML?** Storage data, very convenient to use and easily accessible. Easy to learn the system **What do you dislike about Google Cloud AutoML?** There’s nothing to dislike but maybe slow **What problems is Google Cloud AutoML solving and how is that benefiting you?** Backing up data and storage that is much needed ## Google Cloud AutoML Discussions - [What is Google Cloud AutoML used for?](https://www.g2.com/discussions/what-is-google-cloud-automl-used-for) - [View Google Cloud AutoML pricing details and edition comparison](https://www.g2.com/products/google-cloud-automl/reviews?open_modal_url=%2Fes%2Fproducts%2Fgoogle-cloud-automl%2Fwishlists%3Fhost_path%3D%252Fproducts%252Fgoogle-cloud-automl%252Freviews%26source%3Dsticky_header_pin§ion=pricing&secure%5Bexpires_at%5D=2026-06-20+16%3A34%3A59+-0500&secure%5Bsession_id%5D=1598b987-5e9e-4854-b7bc-59788f0767d2&secure%5Btoken%5D=a97997145fb2853daeed730279fd7e3307b4899971f76aba60125ab587beb013&format=llm_user) ## Google Cloud AutoML Features **System** - Data Ingestion & Wrangling **Data Ingestion & Preparation - Low-Code Machine Learning Platforms** - Automatic Data Profiling & Quality Assessment - Multi‑Source Connector Support - Schema Drift / Change Detection **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training **Model Development** - Feature Engineering **Model Construction & Automation - Low-Code Machine Learning Platforms** - Guided Algorithm & Hyperparameter Recommendation - Code Extensibility - Automated Feature Engineering **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Deployment** - Managed Service - Application - Scalability **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making ## Top Google Cloud AutoML Alternatives - [Azure Machine Learning](https://www.g2.com/products/microsoft-azure-machine-learning/reviews) - 4.3/5.0 (87 reviews) - [Amazon SageMaker](https://www.g2.com/products/amazon-sagemaker/reviews) - 4.3/5.0 (52 reviews) - [DataRobot](https://www.g2.com/products/datarobot/reviews) - 4.4/5.0 (27 reviews)