# Amazon SageMaker vs Google Cloud AutoML Comparison --- ## Frequently Asked Questions ### What is the difference between Amazon SageMaker vs Google Cloud AutoML? Amazon SageMaker and Google Cloud AutoML are both rated 4.3/5, but Amazon SageMaker is noted for its end-to-end ML lifecycle management and operational depth, while Google Cloud AutoML is recognized for its ease of use and rapid prototyping for non-experts. | [Amazon SageMaker](https://www.g2.com/products/amazon-sagemaker/reviews) | [Google Cloud AutoML](https://www.g2.com/products/google-cloud-automl/reviews) | | --- | --- | | 4.3/5 (57 reviews) | 4.3/5 (35 reviews) | | Mid-Market | Mid-Market | | 8.4 | 8.2 | | 8.7 | 8.2 | | End-to-end ML lifecycle management | Ease of use and rapid prototyping | ### How do the pricing models of Amazon SageMaker and Google Cloud AutoML compare? Amazon SageMaker and Google Cloud AutoML are rated at parity for value, with both products receiving cost-related trade-offs in recent reviews. - **Amazon SageMaker:** Reviewers frequently cite cost complexity and the potential for high expenses, especially for GPU-intensive or long-running workloads, but also note strong ROI for enterprise ML teams due to reduced infrastructure management. - **Google Cloud AutoML:** Reviewers highlight that pricing can escalate quickly at scale and is considered high for small businesses, though the automation and ease of use are valued for rapid prototyping. ### What are the best alternatives to Amazon SageMaker and Google Cloud AutoML? The top three alternatives to Amazon SageMaker and Google Cloud AutoML are Azure Machine Learning Studio, Gemini Enterprise Agent Platform, and Dataiku. | Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength | | --- | --- | --- | --- | --- | | [Amazon SageMaker](https://www.g2.com/products/amazon-sagemaker/reviews) | 4.3/5 (57) | Mid-Market | Pricing can be complex and expensive for large workloads | End-to-end ML lifecycle management | | [Google Cloud AutoML](https://www.g2.com/products/google-cloud-automl/reviews) | 4.3/5 (35) | Mid-Market | Pricing escalates quickly at scale, high for small businesses | Ease of use and rapid prototyping | | [Azure Machine Learning Studio](https://www.g2.com/products/microsoft-azure-machine-learning/reviews) | 4.3/5 (90) | Enterprise | — | Flexible ML development and deployment | | [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) | 4.3/5 (745) | Small-Business | — | AI-powered automation and agent capabilities | | [Dataiku](https://www.g2.com/products/dataiku/reviews) | 4.4/5 (224) | Enterprise | — | Collaborative data science and ML workflows | ### Which Data Science and Machine Learning Platforms features should I prioritize when comparing Amazon SageMaker and Google Cloud AutoML? Buyers comparing Amazon SageMaker and Google Cloud AutoML should prioritize ease of use, cost management, deployment flexibility, integration capabilities, and support experience. - **Ease of Use:** Amazon SageMaker 8.4, Google Cloud AutoML 9.0 - **Cost Management:** Both products receive recurring mentions for cost complexity and high expenses in recent reviews - **Deployment Flexibility:** Amazon SageMaker is frequently cited for end-to-end ML lifecycle management and operational depth (multiple all-time mentions) - **Integration Capabilities:** Amazon SageMaker is noted for integration with AWS services; Google Cloud AutoML is highlighted for integration with Google Cloud ecosystem - **Support Experience:** Amazon SageMaker 8.7, Google Cloud AutoML 8.2 ### What are the pros and cons of Amazon SageMaker vs Google Cloud AutoML? Amazon SageMaker's headline strength is its end-to-end ML lifecycle management, while Google Cloud AutoML is recognized for ease of use and rapid prototyping. - **Amazon SageMaker strengths:** End-to-end ML lifecycle management (multiple all-time mentions), strong integration with AWS, operational efficiency, and scalability. - **Amazon SageMaker trade-offs:** Cost complexity and high expenses (3 all-time mentions), steep learning curve and complexity (2 all-time mentions), and fragmented user experience. - **Google Cloud AutoML strengths:** Ease of use (all-time mention), rapid prototyping, user-friendly interface, and smooth integration with Google Cloud services. - **Google Cloud AutoML trade-offs:** High pricing for large-scale or small business use (all-time mention), limited advanced customization, and less flexibility for expert users. ### Is Amazon SageMaker or Google Cloud AutoML better for small businesses? Google Cloud AutoML is a better fit for small businesses, as it is recognized for ease of use and rapid onboarding, despite both products having a mid-market reviewer base. - **Amazon SageMaker:** Mid-Market segment; reviewers note a steep learning curve and cost management challenges for smaller teams. - **Google Cloud AutoML:** Mid-Market segment; reviewers highlight its accessibility for users without deep data science expertise and rapid prototyping capabilities, though cost is a concern for small businesses. ### Which Data Science and Machine Learning Platforms platform has better integrations? Amazon SageMaker and Google Cloud AutoML are both recognized for strong integrations within their respective cloud ecosystems, with reviewers citing parity in integration sentiment. - **Amazon SageMaker:** Reviewers highlight integration with AWS services such as S3, Lambda, and Redshift in recent reviews. - **Google Cloud AutoML:** Reviewers note integration with Google Cloud Storage and BigQuery, and mention easy integration with other Google Apps. ### How do Amazon SageMaker and Google Cloud AutoML compare on customer support? Amazon SageMaker and Google Cloud AutoML are rated within 0.5 points on Quality of Support, indicating near parity, with Amazon SageMaker at 8.7 and Google Cloud AutoML at 8.2. - **Amazon SageMaker:** Reviewers describe responsive support and detailed product knowledge, though some mention fragmented documentation and support experiences. - **Google Cloud AutoML:** Reviewers report generally positive support experiences, with some noting slower response times for advanced configuration questions. ### Which is easier to implement, Amazon SageMaker or Google Cloud AutoML? Amazon SageMaker and Google Cloud AutoML score within 0.2 points on Ease of Setup, indicating near parity, with Amazon SageMaker at 8.4 and Google Cloud AutoML at 8.2. - **Amazon SageMaker:** Reviewers note a steep initial learning curve and complex setup, especially for new AWS users, but also mention that setup is straightforward for those familiar with AWS. - **Google Cloud AutoML:** Reviewers highlight its user-friendly onboarding and minimal coding requirements, though some mention that advanced configuration can be challenging for new users. | | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **Star Rating** | 4.3 out of 5 | 4.3 out of 5 | | **Total Reviews** | 57 | 48 | | **Largest Market Segment** | Mid-Market (34.6% of reviews) | Small-Business (40.4% of reviews) | | **Entry Level Price** | No pricing available | No pricing available | --- ## Top Pros & Cons ### Amazon SageMaker Pros: - Ease of Use (3 reviews) - AI Integration (2 reviews) Cons: - Expensive (3 reviews) - Complexity (2 reviews) ### Google Cloud AutoML Pros: - AI Integration (1 reviews) - Ease of Use (1 reviews) Cons: - Cost (1 reviews) - Expensive (1 reviews) --- ## Ratings Comparison | Rating | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **Meets Requirements** | 8.7 (47 reviews) | 8.7 (39 reviews) | | **Ease of Use** | 8.4 (48 reviews) | 9.0 (39 reviews) | | **Ease of Setup** | 8.4 (35 reviews) | 8.4 (36 reviews) | | **Ease of Admin** | 8.4 (20 reviews) | 8.4 (19 reviews) | | **Quality of Support** | 8.7 (42 reviews) | 8.2 (39 reviews) | | **Has the product been a good partner in doing business?** | 9.2 (20 reviews) | 8.9 (18 reviews) | | **Product Direction (% positive)** | 8.9 (44 reviews) | 9.6 (33 reviews) | --- ## Pricing ### Amazon SageMaker #### Entry-Level Pricing No pricing available #### Free Trial No information available ### Google Cloud AutoML #### Entry-Level Pricing No pricing available #### Free Trial No information available --- ## Features Comparison By Category ### Artificial Intelligence | Product | Score | Reviews | |---|---|---| | **Amazon SageMaker** | N/A | N/A | | **Google Cloud AutoML** | N/A | N/A | #### Additional Functionality | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **Tagging** | Not enough data | Not enough data | | **Natural Language Processing** | Not enough data | Not enough data | | **Data Extraction** | Not enough data | Not enough data | | **Multi-Language** | Not enough data | Not enough data | | **Predictive Analytics** | Not enough data | Not enough data | | **Drag & Drop** | Not enough data | Not enough data | | **Speech Recognition** | Not enough data | Not enough data | | **Reporting/Analytics** | Not enough data | Not enough data | | **Data Storage Management** | Not enough data | Not enough data | | **Virtual Personal Assistant (VPA)** | Not enough data | Not enough data | | **AI Copilot** | Not enough data | Not enough data | | **Customer Segmentation** | Not enough data | Not enough data | | **Collaboration Tools** | Not enough data | Not enough data | | **Data Import/Export** | Not enough data | Not enough data | | **Generative AI** | Not enough data | Not enough data | | **For eCommerce** | Not enough data | Not enough data | | **Role-Based Permissions** | Not enough data | Not enough data | | **Customizable Branding** | Not enough data | Not enough data | | **Search/Filter** | Not enough data | Not enough data | | **Monitoring** | Not enough data | Not enough data | | **Document Management** | Not enough data | Not enough data | | **API** | Not enough data | Not enough data | | **Data Visualization** | Not enough data | Not enough data | | **Trend Analysis** | Not enough data | Not enough data | | **Machine Learning** | Not enough data | Not enough data | | **Access Controls/Permissions** | Not enough data | Not enough data | | **Alerts/Escalation** | Not enough data | Not enough data | | **Performance Metrics** | Not enough data | Not enough data | | **Real-Time Data** | Not enough data | Not enough data | | **Third-Party Integrations** | Not enough data | Not enough data | | **Mobile App** | Not enough data | Not enough data | | **Multiple Data Sources** | Not enough data | Not enough data | | **For Sales Teams/Organizations** | Not enough data | Not enough data | | **Sentiment Analysis** | Not enough data | Not enough data | | **Activity Dashboard** | Not enough data | Not enough data | | **Chatbot** | Not enough data | Not enough data | | **Workflow Automation** | Not enough data | Not enough data | ### Generative AI | Product | Score | Reviews | |---|---|---| | **Amazon SageMaker** | N/A | N/A | | **Google Cloud AutoML** | N/A | N/A | #### Additional Functionality | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **Code Generation** | Not enough data | Not enough data | | **Text to Image** | Not enough data | Not enough data | | **Generative AI** | Not enough data | Not enough data | | **API** | Not enough data | Not enough data | | **Natural Language Processing** | Not enough data | Not enough data | | **Virtual Characters and Avatars** | Not enough data | Not enough data | | **Content Generation** | Not enough data | Not enough data | | **Personalization and Recommendation** | Not enough data | Not enough data | | **Conditional Generation** | Not enough data | Not enough data | | **Transformer Model** | Not enough data | Not enough data | | **Automated Image & Video Editing** | Not enough data | Not enough data | | **Interactive and Co-Creative Systems** | Not enough data | Not enough data | | **Text Summarization** | Not enough data | Not enough data | | **Data Augmentation** | Not enough data | Not enough data | | **Variation Autoencoder Models** | Not enough data | Not enough data | | **Adversarial Training** | Not enough data | Not enough data | | **Transfer Learning and Fine-tuning** | Not enough data | Not enough data | | **Simulation and Scenario Generation** | Not enough data | Not enough data | | **Creative Design** | Not enough data | Not enough data | | **AI Copilot** | Not enough data | Not enough data | | **Prompt Engineering** | Not enough data | Not enough data | | **Foundation Model** | Not enough data | Not enough data | ### MLOps Platforms | Product | Score | Reviews | |---|---|---| | **Amazon SageMaker** | 9.6/10 | 6 | | **Google Cloud AutoML** | N/A | N/A | #### Deployment | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **Language Flexibility** | 9.7 (5 reviews) | Not enough data | | **Framework Flexibility** | 9.0 (5 reviews) | Not enough data | | **Versioning** | 9.7 (5 reviews) | Not enough data | | **Ease of Deployment** | 10.0 (5 reviews) | Not enough data | | **Scalability** | Not enough data | Not enough data | #### Deployment | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **Language Flexibility** | Not enough data | Not enough data | | **Framework Flexibility** | Not enough data | Not enough data | | **Versioning** | Not enough data | Not enough data | | **Ease of Deployment** | Not enough data | Not enough data | | **Scalability** | Not enough data | Not enough data | #### Management | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **Cataloging** | Not enough data | Not enough data | | **Monitoring** | Not enough data | Not enough data | | **Governing** | Not enough data | Not enough data | | **Model Registry** | Not enough data | Not enough data | #### Operations | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **Metrics** | Not enough data | Not enough data | | **Infrastructure management** | Not enough data | Not enough data | | **Collaboration** | Not enough data | Not enough data | #### Management | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **Cataloging** | Not enough data | Not enough data | | **Monitoring** | Not enough data | Not enough data | | **Governing** | Not enough data | Not enough data | #### Generative AI | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **AI Text Generation** | Not enough data | Not enough data | | **AI Text Summarization** | Not enough data | Not enough data | ### Data Science and Machine Learning Platforms | Product | Score | Reviews | |---|---|---| | **Amazon SageMaker** | 8.9/10 | 46 | | **Google Cloud AutoML** | 9.2/10 | 25 | #### System | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **Data Ingestion & Wrangling** | 8.6 (23 reviews) | 8.1 (8 reviews) | | **Real-Time Data** | Not enough data | Not enough data | #### Model Development | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **Language Support** | 8.9 (32 reviews) | 8.8 (10 reviews) | | **Drag and Drop** | 8.3 (30 reviews) | 9.6 (9 reviews) | | **Pre-Built Algorithms** | 8.4 (36 reviews) | 9.3 (9 reviews) | | **Model Training** | 9.0 (37 reviews) | 9.2 (15 reviews) | | **Database Support** | Not enough data | Not enough data | | **Multi-Language** | Not enough data | 8.9 (6 reviews) | #### Model Development | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **Feature Engineering** | 8.6 (21 reviews) | 9.4 (6 reviews) | #### Machine/Deep Learning Services | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **Computer Vision** | 9.0 (28 reviews) | 9.4 (9 reviews) | | **Natural Language Processing** | 9.2 (30 reviews) | 9.2 (8 reviews) | | **Natural Language Generation** | 9.0 (27 reviews) | 9.2 (8 reviews) | | **Artificial Neural Networks** | 9.0 (30 reviews) | 9.3 (7 reviews) | #### Machine/Deep Learning Services | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **Natural Language Understanding** | 9.3 (18 reviews) | 9.4 (9 reviews) | | **Deep Learning** | 9.3 (20 reviews) | 9.2 (8 reviews) | #### Deployment | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **Managed Service** | 8.9 (40 reviews) | 9.8 (15 reviews) | | **Application** | 8.8 (38 reviews) | 9.7 (10 reviews) | | **Scalability** | 9.1 (38 reviews) | 9.2 (12 reviews) | #### Additional Functionality | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **Customizable Reports** | Not enough data | Not enough data | | **Collaboration Tools** | Not enough data | Not enough data | | **Data Extraction** | Not enough data | Not enough data | | **Semantic Search** | Not enough data | Not enough data | | **Data Storage Management** | Not enough data | Not enough data | | **Ad hoc Reporting** | Not enough data | Not enough data | | **Reporting/Analytics** | Not enough data | Not enough data | | **Predictive Analytics** | Not enough data | Not enough data | | **Activity Dashboard** | Not enough data | 9.7 (5 reviews) | | **Access Controls/Permissions** | Not enough data | Not enough data | | **Visual Analytics** | Not enough data | Not enough data | | **Data Mapping** | Not enough data | Not enough data | | **Data Synchronization** | Not enough data | Not enough data | | **Statistical Analysis** | Not enough data | Not enough data | | **Categorization/Grouping** | Not enough data | Not enough data | | **Trend Analysis** | Not enough data | Not enough data | | **Data Profiling** | Not enough data | Not enough data | | **Linked Data Management** | Not enough data | Not enough data | | **Data Visualization** | Not enough data | Not enough data | | **API** | Not enough data | 9.7 (6 reviews) | | **Multiple Data Sources** | Not enough data | Not enough data | | **Sentiment Analysis** | Not enough data | Not enough data | | **Search/Filter** | Not enough data | Not enough data | | **Data Import/Export** | Not enough data | Not enough data | | **Data Capture and Transfer** | Not enough data | Not enough data | | **AI Copilot** | Not enough data | Not enough data | | **Monitoring** | Not enough data | Not enough data | | **Data Connectors** | Not enough data | Not enough data | | **Ad hoc Analysis** | Not enough data | Not enough data | | **Text Mining** | Not enough data | Not enough data | | **Reporting & Statistics** | Not enough data | Not enough data | | **Predictive Modeling** | Not enough data | Not enough data | | **Real-Time Analytics** | Not enough data | Not enough data | | **Configurable Workflow** | Not enough data | Not enough data | | **Tagging** | Not enough data | Not enough data | | **Endpoint Management** | Not enough data | Not enough data | | **No-Code** | Not enough data | 9.5 (11 reviews) | | **Data Preparation** | Not enough data | Not enough data | | **Auditing** | Not enough data | Not enough data | | **Big Data Analytics** | Not enough data | Not enough data | | **ML Algorithm Library** | Not enough data | Not enough data | | **Data Management** | Not enough data | Not enough data | | **Activity Tracking** | Not enough data | Not enough data | | **Data Security** | Not enough data | Not enough data | | **Workflow Management** | Not enough data | Not enough data | #### Generative AI | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **AI Text Generation** | 8.6 (7 reviews) | 9.3 (7 reviews) | | **AI Text Summarization** | 9.3 (7 reviews) | 9.4 (6 reviews) | | **AI Text-to-Image** | 8.6 (6 reviews) | 8.7 (5 reviews) | | **Generative AI** | Not enough data | Not enough data | #### Agentic AI - Data Science and Machine Learning Platforms | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **Autonomous Task Execution** | Not enough data | 8.6 (6 reviews) | | **Multi-step Planning** | Not enough data | 9.0 (5 reviews) | | **Cross-system Integration** | 9.3 (7 reviews) | 9.4 (6 reviews) | | **Adaptive Learning** | Not enough data | 9.3 (5 reviews) | | **Natural Language Interaction** | Not enough data | 9.0 (5 reviews) | | **Proactive Assistance** | Not enough data | 8.7 (5 reviews) | | **Decision Making** | Not enough data | 8.7 (5 reviews) | | **Third-Party Integrations** | Not enough data | 9.4 (6 reviews) | ### Generative AI Infrastructure | Product | Score | Reviews | |---|---|---| | **Amazon SageMaker** | N/A | N/A | | **Google Cloud AutoML** | N/A | N/A | #### Scalability and Performance - Generative AI Infrastructure | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **AI High Availability** | Not enough data | Not enough data | | **AI Model Training Scalability** | Not enough data | Not enough data | | **AI Inference Speed** | Not enough data | Not enough data | #### Cost and Efficiency - Generative AI Infrastructure | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **AI Cost per API Call** | Not enough data | Not enough data | | **AI Resource Allocation Flexibility** | Not enough data | Not enough data | | **AI Energy Efficiency** | Not enough data | Not enough data | #### Integration and Extensibility - Generative AI Infrastructure | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **AI Multi-cloud Support** | Not enough data | Not enough data | | **AI Data Pipeline Integration** | Not enough data | Not enough data | | **AI API Support and Flexibility** | Not enough data | Not enough data | #### Security and Compliance - Generative AI Infrastructure | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **AI GDPR and Regulatory Compliance** | Not enough data | Not enough data | | **AI Role-based Access Control** | Not enough data | Not enough data | | **AI Data Encryption** | Not enough data | Not enough data | #### Usability and Support - Generative AI Infrastructure | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **AI Documentation Quality** | Not enough data | Not enough data | | **AI Community Activity** | Not enough data | Not enough data | ### Low-Code Machine Learning Platforms | Product | Score | Reviews | |---|---|---| | **Amazon SageMaker** | N/A | N/A | | **Google Cloud AutoML** | 9.3/10 | 7 | #### Data Ingestion & Preparation - Low-Code Machine Learning Platforms | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **Automatic Data Profiling & Quality Assessment** | Not enough data | 9.3 (5 reviews) | | **Multi‑Source Connector Support** | Not enough data | 9.3 (5 reviews) | | **Schema Drift / Change Detection** | Not enough data | Not enough data | #### Model Construction & Automation - Low-Code Machine Learning Platforms | Feature | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **Guided Algorithm & Hyperparameter Recommendation** | Not enough data | Not enough data | | **Code Extensibility** | Not enough data | Not enough data | | **Automated Feature Engineering** | Not enough data | Not enough data | --- ## Categories **Shared Categories (2):** [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms), [ Low-Code Machine Learning Platforms Software](https://www.g2.com/categories/low-code-machine-learning-platforms) **Unique to Amazon SageMaker (2):** [MLOps Platforms](https://www.g2.com/categories/mlops-platforms), [Generative AI Infrastructure Software](https://www.g2.com/categories/generative-ai-infrastructure) --- ## Reviewer Demographics ### By Company Size | Segment | Amazon SageMaker | Google Cloud AutoML | |---|---|---| | **Small-Business** | 30.8% | 40.4% | | **Mid-Market** | 34.6% | 38.3% | | **Enterprise** | 34.6% | 21.3% | ### By Industry #### Amazon SageMaker - **Information Technology and Services:** 21.2% - **Computer Software:** 13.5% - **Internet:** 5.8% - **Hospital & Health Care:** 5.8% - **Computer & Network Security:** 3.8% - **Consumer Goods:** 3.8% - **Marketing and Advertising:** 3.8% - **Education Management:** 3.8% - **Higher Education:** 3.8% - **Financial Services:** 3.8% - **Other:** 30.8% #### Google Cloud AutoML - **Information Technology and Services:** 25.5% - **Accounting:** 6.4% - **Higher Education:** 6.4% - **Research:** 6.4% - **Computer Software:** 4.3% - **Hospital & Health Care:** 4.3% - **Manufacturing:** 4.3% - **Airlines/Aviation:** 2.1% - **Apparel & Fashion:** 2.1% - **Consulting:** 2.1% - **Other:** 36.2% --- ## Alternatives ### Alternatives to Amazon SageMaker - [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) — 4.3/5 stars (737 reviews) - [Dataiku](https://www.g2.com/products/dataiku/reviews) — 4.4/5 stars (230 reviews) - [Azure Machine Learning](https://www.g2.com/products/microsoft-azure-machine-learning/reviews) — 4.3/5 stars (90 reviews) - [Alteryx](https://www.g2.com/products/alteryx/reviews) — 4.6/5 stars (894 reviews) - [IBM Watson Studio](https://www.g2.com/products/ibm-watson-studio/reviews) — 4.2/5 stars (170 reviews) - [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) — 4.6/5 stars (532 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) — 4.6/5 stars (1363 reviews) - [DataRobot](https://www.g2.com/products/datarobot/reviews) — 4.4/5 stars (40 reviews) - [H2O](https://www.g2.com/products/h2o/reviews) — 4.5/5 stars (24 reviews) - [Posit Team](https://www.g2.com/products/posit-team/reviews) — 4.5/5 stars (575 reviews) ### Alternatives to Google Cloud AutoML - [Azure Machine Learning](https://www.g2.com/products/microsoft-azure-machine-learning/reviews) — 4.3/5 stars (90 reviews) - [DataRobot](https://www.g2.com/products/datarobot/reviews) — 4.4/5 stars (40 reviews) - [Dataiku](https://www.g2.com/products/dataiku/reviews) — 4.4/5 stars (230 reviews) - [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) — 4.6/5 stars (532 reviews) - [TensorFlow](https://www.g2.com/products/tensorflow/reviews) — 4.5/5 stars (138 reviews) - [Alteryx](https://www.g2.com/products/alteryx/reviews) — 4.6/5 stars (894 reviews) - [H2O](https://www.g2.com/products/h2o/reviews) — 4.5/5 stars (24 reviews) - [MATLAB](https://www.g2.com/products/matlab/reviews) — 4.5/5 stars (773 reviews) - [SAS Enterprise Miner](https://www.g2.com/products/sas-enterprise-miner/reviews) — 4.2/5 stars (193 reviews) - [BigML](https://www.g2.com/products/bigml/reviews) — 4.7/5 stars (24 reviews) --- ## Top Discussions ### Amazon SageMaker - Title: [What is the best way to integrate Sagemaker models with Kubernetes?](https://www.g2.com/discussions/28784-what-is-the-best-way-to-integrate-sagemaker-models-with-kubernetes) — 1 comment > **Top comment:** "https://aws.amazon.com/blogs/machine-learning/introducing-amazon-sagemaker-operators-for-kubernetes/" - Title: [How do i make this platform reach to most of my developers?](https://www.g2.com/discussions/27976-how-do-i-make-this-platform-reach-to-most-of-my-developers) — 1 comment > **Top comment:** "you can manage the access via IAM users and roles and give them access as per their need, Sagemaker by default has all the basic AWS feature and you can..." ### Google Cloud AutoML No discussions available for this product. --- **Source:** [G2.com](https://www.g2.com) | [Comparison Page](https://www.g2.com/compare/amazon-sagemaker-vs-google-cloud-automl)