# Top 10 Amazon SageMaker Alternatives & Competitors **Average Rating:** 4.3/5 **Total Number of Reviews:** 56 The Data Science and Machine Learning Platforms solutions below are the most common alternatives that users and reviewers compare with Amazon SageMaker. Data Science and Machine Learning Platforms is a widely used technology, and many people are seeking easy to use, productive software solutions with artificial neural networks, computer vision, and drag and drop. Other important factors to consider when researching alternatives to Amazon SageMaker include training. The best overall Amazon SageMaker alternative is Gemini Enterprise Agent Platform. Other similar apps like Amazon SageMaker are Dataiku, Azure Machine Learning, Alteryx, and IBM Watson Studio. Amazon SageMaker alternatives can be found in [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) but may also be in [Generative AI Infrastructure Software](https://www.g2.com/categories/generative-ai-infrastructure) or [Analytics Platforms](https://www.g2.com/categories/analytics-platforms). ## Best Paid & Free Alternatives to Amazon SageMaker - [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) - [Dataiku](https://www.g2.com/products/dataiku/reviews) - [Azure Machine Learning](https://www.g2.com/products/microsoft-azure-machine-learning/reviews) - [Alteryx](https://www.g2.com/products/alteryx/reviews) - [IBM Watson Studio](https://www.g2.com/products/ibm-watson-studio/reviews) - [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - [DataRobot](https://www.g2.com/products/datarobot/reviews) - [H2O](https://www.g2.com/products/h2o/reviews) - [Google Cloud AutoML](https://www.g2.com/products/google-cloud-automl/reviews) ## Top 10 Alternatives to Amazon SageMaker Recently Reviewed By G2 Community Browse options below. Based on reviewer data, you can see how Amazon SageMaker stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Internet, and Education Management, and find the best product for your business. ### 1. [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) By Google **Average Rating:** 4.3/5 **Total Reviews:** 659 Gemini Enterprise Agent Platform is a managed machine learning (ML) platform that helps you build, train, and deploy ML models faster and easier. It includes a unified UI for the entire ML workflow, as well as a variety of tools and services to help you with every step of the process. Gemini Enterprise Agent Platform Workbench is a cloud-based IDE that is included with Gemini Enterprise Agent Platform. It makes it easy to develop and debug ML code. It provides a variety of features to help you with your ML workflow, such as code completion, linting, and debugging. Gemini Enterprise Agent Platform and Gemini Enterprise Agent Platform Workbench are a powerful combination that can help you accelerate your ML development. With Gemini Enterprise Agent Platform, you can focus on building and training your models, while Gemini Enterprise Agent Platform Workbench takes care of the rest. This frees you up to be more productive and creative, and it helps you get your models into production faster. If you're looking for a powerful and easy-to-use ML platform, then Gemini Enterprise Agent Platform is a great option. With Gemini Enterprise Agent Platform, you can build, train, and deploy ML models faster and easier than ever before. Categories in common with Amazon SageMaker: [MLOps Platforms](https://www.g2.com/categories/mlops-platforms), [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms), [Generative AI Infrastructure](https://www.g2.com/categories/generative-ai-infrastructure), [Low-Code Machine Learning Platforms](https://www.g2.com/categories/low-code-machine-learning-platforms) **Compare:** [Amazon SageMaker vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/amazon-sagemaker-vs-gemini-enterprise-agent-platform) **Compare Gemini Enterprise Agent Platform with other alternatives:** - [Gemini Enterprise Agent Platform vs Dataiku](https://www.g2.com/compare/dataiku-vs-gemini-enterprise-agent-platform) - [Gemini Enterprise Agent Platform vs Azure Machine Learning](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-gemini-enterprise-agent-platform) - [Gemini Enterprise Agent Platform vs Alteryx](https://www.g2.com/compare/alteryx-vs-gemini-enterprise-agent-platform) - [Gemini Enterprise Agent Platform vs IBM Watson Studio](https://www.g2.com/compare/gemini-enterprise-agent-platform-vs-ibm-watson-studio) - [Gemini Enterprise Agent Platform vs Altair AI Studio](https://www.g2.com/compare/rapidminer-studio-vs-gemini-enterprise-agent-platform) - [Gemini Enterprise Agent Platform vs Databricks](https://www.g2.com/compare/databricks-vs-gemini-enterprise-agent-platform) - [Gemini Enterprise Agent Platform vs DataRobot](https://www.g2.com/compare/datarobot-vs-gemini-enterprise-agent-platform) - [Gemini Enterprise Agent Platform vs H2O](https://www.g2.com/compare/gemini-enterprise-agent-platform-vs-h2o) - [Gemini Enterprise Agent Platform vs Google Cloud AutoML](https://www.g2.com/compare/gemini-enterprise-agent-platform-vs-google-cloud-automl) ### 2. [Dataiku](https://www.g2.com/products/dataiku/reviews) By Dataiku **Average Rating:** 4.4/5 **Total Reviews:** 214 Dataiku is the Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Reviewers say compared to Amazon SageMaker, Dataiku is: - More usable - More expensive - Better at meeting requirements Categories in common with Amazon SageMaker: [MLOps Platforms](https://www.g2.com/categories/mlops-platforms), [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms), [Generative AI Infrastructure](https://www.g2.com/categories/generative-ai-infrastructure), [Low-Code Machine Learning Platforms](https://www.g2.com/categories/low-code-machine-learning-platforms) **Compare:** [Amazon SageMaker vs Dataiku](https://www.g2.com/compare/amazon-sagemaker-vs-dataiku) **Compare Dataiku with other alternatives:** - [Dataiku vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/dataiku-vs-gemini-enterprise-agent-platform) - [Dataiku vs Azure Machine Learning](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-dataiku) - [Dataiku vs Alteryx](https://www.g2.com/compare/alteryx-vs-dataiku) - [Dataiku vs IBM Watson Studio](https://www.g2.com/compare/dataiku-vs-ibm-watson-studio) - [Dataiku vs Altair AI Studio](https://www.g2.com/compare/rapidminer-studio-vs-dataiku) - [Dataiku vs Databricks](https://www.g2.com/compare/databricks-vs-dataiku) - [Dataiku vs DataRobot](https://www.g2.com/compare/datarobot-vs-dataiku) - [Dataiku vs H2O](https://www.g2.com/compare/dataiku-vs-h2o) - [Dataiku vs Google Cloud AutoML](https://www.g2.com/compare/dataiku-vs-google-cloud-automl) ### 3. [Azure Machine Learning](https://www.g2.com/products/microsoft-azure-machine-learning/reviews) By Microsoft **Average Rating:** 4.3/5 **Total Reviews:** 90 Azure Machine Learning is an enterprise-grade service that facilitates the end-to-end machine learning lifecycle, enabling data scientists and developers to build, train, and deploy models efficiently. Key Features and Functionality: - Data Preparation: Quickly iterate data preparation on Apache Spark clusters within Azure Machine Learning, interoperable with Microsoft Fabric. - Feature Store: Increase agility in shipping your models by making features discoverable and reusable across workspaces. - AI Infrastructure: Take advantage of purpose-built AI infrastructure uniquely designed to combine the latest GPUs and InfiniBand networking. - Automated Machine Learning: Rapidly create accurate machine learning models for tasks including classification, regression, vision, and natural language processing. - Responsible AI: Build responsible AI solutions with interpretability capabilities. Assess model fairness through disparity metrics and mitigate unfairness. - Model Catalog: Discover, fine-tune, and deploy foundation models from Microsoft, OpenAI, Hugging Face, Meta, Cohere, and more using the model catalog. - Prompt Flow: Design, construct, evaluate, and deploy language model workflows with prompt flow. - Managed Endpoints: Operationalize model deployment and scoring, log metrics, and perform safe model rollouts. Primary Value and Solutions Provided: Azure Machine Learning accelerates time to value by streamlining prompt engineering and machine learning model workflows, facilitating faster model development with powerful AI infrastructure. It streamlines operations by enabling reproducible end-to-end pipelines and automating workflows with continuous integration and continuous delivery (CI/CD). The platform ensures confidence in development through unified data and AI governance with built-in security and compliance, allowing compute to run anywhere for hybrid machine learning. Additionally, it promotes responsible AI by providing visibility into models, evaluating language model workflows, and mitigating fairness, biases, and harm with built-in safety systems. Reviewers say compared to Amazon SageMaker, Azure Machine Learning is: - More usable - Better at support Categories in common with Amazon SageMaker: [MLOps Platforms](https://www.g2.com/categories/mlops-platforms), [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms), [Generative AI Infrastructure](https://www.g2.com/categories/generative-ai-infrastructure), [Low-Code Machine Learning Platforms](https://www.g2.com/categories/low-code-machine-learning-platforms) **Compare:** [Amazon SageMaker vs Azure Machine Learning](https://www.g2.com/compare/amazon-sagemaker-vs-microsoft-azure-machine-learning) **Compare Azure Machine Learning with other alternatives:** - [Azure Machine Learning vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-gemini-enterprise-agent-platform) - [Azure Machine Learning vs Dataiku](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-dataiku) - [Azure Machine Learning vs Alteryx](https://www.g2.com/compare/alteryx-vs-microsoft-azure-machine-learning) - [Azure Machine Learning vs IBM Watson Studio](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-ibm-watson-studio) - [Azure Machine Learning vs Altair AI Studio](https://www.g2.com/compare/rapidminer-studio-vs-microsoft-azure-machine-learning) - [Azure Machine Learning vs Databricks](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-databricks) - [Azure Machine Learning vs DataRobot](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-datarobot) - [Azure Machine Learning vs H2O](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-h2o) - [Azure Machine Learning vs Google Cloud AutoML](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-google-cloud-automl) ### 4. [Alteryx](https://www.g2.com/products/alteryx/reviews) By Alteryx **Average Rating:** 4.6/5 **Total Reviews:** 838 Alteryx drives transformational business outcomes through unified analytics, data science, and process automation. Reviewers say compared to Amazon SageMaker, Alteryx is: - More usable - Better at meeting requirements - Easier to set up Categories in common with Amazon SageMaker: [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms), [Low-Code Machine Learning Platforms](https://www.g2.com/categories/low-code-machine-learning-platforms) **Compare:** [Amazon SageMaker vs Alteryx](https://www.g2.com/compare/alteryx-vs-amazon-sagemaker) **Compare Alteryx with other alternatives:** - [Alteryx vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/alteryx-vs-gemini-enterprise-agent-platform) - [Alteryx vs Dataiku](https://www.g2.com/compare/alteryx-vs-dataiku) - [Alteryx vs Azure Machine Learning](https://www.g2.com/compare/alteryx-vs-microsoft-azure-machine-learning) - [Alteryx vs IBM Watson Studio](https://www.g2.com/compare/alteryx-vs-ibm-watson-studio) - [Alteryx vs Altair AI Studio](https://www.g2.com/compare/rapidminer-studio-vs-alteryx) - [Alteryx vs Databricks](https://www.g2.com/compare/alteryx-vs-databricks) - [Alteryx vs DataRobot](https://www.g2.com/compare/alteryx-vs-datarobot) - [Alteryx vs H2O](https://www.g2.com/compare/alteryx-vs-h2o) - [Alteryx vs Google Cloud AutoML](https://www.g2.com/compare/alteryx-vs-google-cloud-automl) ### 5. [IBM Watson Studio](https://www.g2.com/products/ibm-watson-studio/reviews) By IBM **Average Rating:** 4.2/5 **Total Reviews:** 167 IBM Watson Studio accelerates the machine and deep learning workflows required to infuse AI into your business to drive innovation. It provides a suite of tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data and use that data to build, train and deploy models at scale. Reviewers say compared to Amazon SageMaker, IBM Watson Studio is: - Slower to reach roi Categories in common with Amazon SageMaker: [MLOps Platforms](https://www.g2.com/categories/mlops-platforms), [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) **Compare:** [Amazon SageMaker vs IBM Watson Studio](https://www.g2.com/compare/amazon-sagemaker-vs-ibm-watson-studio) **Compare IBM Watson Studio with other alternatives:** - [IBM Watson Studio vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/gemini-enterprise-agent-platform-vs-ibm-watson-studio) - [IBM Watson Studio vs Dataiku](https://www.g2.com/compare/dataiku-vs-ibm-watson-studio) - [IBM Watson Studio vs Azure Machine Learning](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-ibm-watson-studio) - [IBM Watson Studio vs Alteryx](https://www.g2.com/compare/alteryx-vs-ibm-watson-studio) - [IBM Watson Studio vs Altair AI Studio](https://www.g2.com/compare/rapidminer-studio-vs-ibm-watson-studio) - [IBM Watson Studio vs Databricks](https://www.g2.com/compare/databricks-vs-ibm-watson-studio) - [IBM Watson Studio vs DataRobot](https://www.g2.com/compare/datarobot-vs-ibm-watson-studio) - [IBM Watson Studio vs H2O](https://www.g2.com/compare/h2o-vs-ibm-watson-studio) - [IBM Watson Studio vs Google Cloud AutoML](https://www.g2.com/compare/google-cloud-automl-vs-ibm-watson-studio) ### 6. [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) By Altair **Average Rating:** 4.6/5 **Total Reviews:** 520 RapidMiner is a powerful, easy to use and intuitive graphical user interface for the design of analytic processes. Let the Wisdom of Crowds and recommendations from the RapidMiner community guide your way. And you can easily reuse your R and Python code. Reviewers say compared to Amazon SageMaker, Altair AI Studio is: - Easier to set up - More usable - Easier to admin Categories in common with Amazon SageMaker: [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms), [Generative AI Infrastructure](https://www.g2.com/categories/generative-ai-infrastructure), [Low-Code Machine Learning Platforms](https://www.g2.com/categories/low-code-machine-learning-platforms) **Compare:** [Amazon SageMaker vs Altair AI Studio](https://www.g2.com/compare/rapidminer-studio-vs-amazon-sagemaker) **Compare Altair AI Studio with other alternatives:** - [Altair AI Studio vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/rapidminer-studio-vs-gemini-enterprise-agent-platform) - [Altair AI Studio vs Dataiku](https://www.g2.com/compare/rapidminer-studio-vs-dataiku) - [Altair AI Studio vs Azure Machine Learning](https://www.g2.com/compare/rapidminer-studio-vs-microsoft-azure-machine-learning) - [Altair AI Studio vs Alteryx](https://www.g2.com/compare/rapidminer-studio-vs-alteryx) - [Altair AI Studio vs IBM Watson Studio](https://www.g2.com/compare/rapidminer-studio-vs-ibm-watson-studio) - [Altair AI Studio vs Databricks](https://www.g2.com/compare/rapidminer-studio-vs-databricks) - [Altair AI Studio vs DataRobot](https://www.g2.com/compare/rapidminer-studio-vs-datarobot) - [Altair AI Studio vs H2O](https://www.g2.com/compare/rapidminer-studio-vs-h2o) - [Altair AI Studio vs Google Cloud AutoML](https://www.g2.com/compare/rapidminer-studio-vs-google-cloud-automl) ### 7. [Databricks](https://www.g2.com/products/databricks/reviews) By Databricks Inc. **Average Rating:** 4.6/5 **Total Reviews:** 1,334 Making big data simple Reviewers say compared to Amazon SageMaker, Databricks is: - More usable - Better at meeting requirements - Better at support Categories in common with Amazon SageMaker: [MLOps Platforms](https://www.g2.com/categories/mlops-platforms), [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms), [Generative AI Infrastructure](https://www.g2.com/categories/generative-ai-infrastructure) **Compare:** [Amazon SageMaker vs Databricks](https://www.g2.com/compare/amazon-sagemaker-vs-databricks) **Compare Databricks with other alternatives:** - [Databricks vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/databricks-vs-gemini-enterprise-agent-platform) - [Databricks vs Dataiku](https://www.g2.com/compare/databricks-vs-dataiku) - [Databricks vs Azure Machine Learning](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-databricks) - [Databricks vs Alteryx](https://www.g2.com/compare/alteryx-vs-databricks) - [Databricks vs IBM Watson Studio](https://www.g2.com/compare/databricks-vs-ibm-watson-studio) - [Databricks vs Altair AI Studio](https://www.g2.com/compare/rapidminer-studio-vs-databricks) - [Databricks vs DataRobot](https://www.g2.com/compare/datarobot-vs-databricks) - [Databricks vs H2O](https://www.g2.com/compare/databricks-vs-h2o) - [Databricks vs Google Cloud AutoML](https://www.g2.com/compare/databricks-vs-google-cloud-automl) ### 8. [DataRobot](https://www.g2.com/products/datarobot/reviews) By DataRobot **Average Rating:** 4.4/5 **Total Reviews:** 28 DataRobot offers a machine learning platform for data scientists of all skill levels to build and deploy accurate predictive models in a less time than it used to take. Reviewers say compared to Amazon SageMaker, DataRobot is: - Better at meeting requirements Categories in common with Amazon SageMaker: [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms), [Low-Code Machine Learning Platforms](https://www.g2.com/categories/low-code-machine-learning-platforms) **Compare:** [Amazon SageMaker vs DataRobot](https://www.g2.com/compare/amazon-sagemaker-vs-datarobot) **Compare DataRobot with other alternatives:** - [DataRobot vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/datarobot-vs-gemini-enterprise-agent-platform) - [DataRobot vs Dataiku](https://www.g2.com/compare/datarobot-vs-dataiku) - [DataRobot vs Azure Machine Learning](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-datarobot) - [DataRobot vs Alteryx](https://www.g2.com/compare/alteryx-vs-datarobot) - [DataRobot vs IBM Watson Studio](https://www.g2.com/compare/datarobot-vs-ibm-watson-studio) - [DataRobot vs Altair AI Studio](https://www.g2.com/compare/rapidminer-studio-vs-datarobot) - [DataRobot vs Databricks](https://www.g2.com/compare/datarobot-vs-databricks) - [DataRobot vs H2O](https://www.g2.com/compare/datarobot-vs-h2o) - [DataRobot vs Google Cloud AutoML](https://www.g2.com/compare/datarobot-vs-google-cloud-automl) ### 9. [H2O](https://www.g2.com/products/h2o/reviews) By H2O.ai **Average Rating:** 4.5/5 **Total Reviews:** 24 H2O is a tool that makes it possible for anyone to easily apply machine learning and predictive analytics to solve today's most challenging business problems, it combine the power of highly advanced algorithms, the freedom of open source, and the capacity of truly scalable in-memory processing for big data on one or many nodes. Reviewers say compared to Amazon SageMaker, H2O is: - More usable - Better at support Categories in common with Amazon SageMaker: [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms), [Generative AI Infrastructure](https://www.g2.com/categories/generative-ai-infrastructure) **Compare:** [Amazon SageMaker vs H2O](https://www.g2.com/compare/amazon-sagemaker-vs-h2o) **Compare H2O with other alternatives:** - [H2O vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/gemini-enterprise-agent-platform-vs-h2o) - [H2O vs Dataiku](https://www.g2.com/compare/dataiku-vs-h2o) - [H2O vs Azure Machine Learning](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-h2o) - [H2O vs Alteryx](https://www.g2.com/compare/alteryx-vs-h2o) - [H2O vs IBM Watson Studio](https://www.g2.com/compare/h2o-vs-ibm-watson-studio) - [H2O vs Altair AI Studio](https://www.g2.com/compare/rapidminer-studio-vs-h2o) - [H2O vs Databricks](https://www.g2.com/compare/databricks-vs-h2o) - [H2O vs DataRobot](https://www.g2.com/compare/datarobot-vs-h2o) - [H2O vs Google Cloud AutoML](https://www.g2.com/compare/google-cloud-automl-vs-h2o) ### 10. [Google Cloud AutoML](https://www.g2.com/products/google-cloud-automl/reviews) By Google **Average Rating:** 4.1/5 **Total Reviews:** 22 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. Reviewers say compared to Amazon SageMaker, Google Cloud AutoML is: - More usable Categories in common with Amazon SageMaker: [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms), [Low-Code Machine Learning Platforms](https://www.g2.com/categories/low-code-machine-learning-platforms) **Compare:** [Amazon SageMaker vs Google Cloud AutoML](https://www.g2.com/compare/amazon-sagemaker-vs-google-cloud-automl) **Compare Google Cloud AutoML with other alternatives:** - [Google Cloud AutoML vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/gemini-enterprise-agent-platform-vs-google-cloud-automl) - [Google Cloud AutoML vs Dataiku](https://www.g2.com/compare/dataiku-vs-google-cloud-automl) - [Google Cloud AutoML vs Azure Machine Learning](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-google-cloud-automl) - [Google Cloud AutoML vs Alteryx](https://www.g2.com/compare/alteryx-vs-google-cloud-automl) - [Google Cloud AutoML vs IBM Watson Studio](https://www.g2.com/compare/google-cloud-automl-vs-ibm-watson-studio) - [Google Cloud AutoML vs Altair AI Studio](https://www.g2.com/compare/rapidminer-studio-vs-google-cloud-automl) - [Google Cloud AutoML vs Databricks](https://www.g2.com/compare/databricks-vs-google-cloud-automl) - [Google Cloud AutoML vs DataRobot](https://www.g2.com/compare/datarobot-vs-google-cloud-automl) - [Google Cloud AutoML vs H2O](https://www.g2.com/compare/google-cloud-automl-vs-h2o) --- ## Amazon SageMaker Alternatives FAQs ### What are the best alternatives to Amazon SageMaker? According to G2 data, the best alternatives to Amazon SageMaker include [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) (4.3/5 stars, 658 reviews), [Dataiku](https://www.g2.com/products/dataiku/reviews) (4.4/5 stars, 201 reviews), [Azure Machine Learning Studio](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, 816 reviews), [IBM Watson Studio](https://www.g2.com/products/ibm-watson-studio/reviews) (4.2/5 stars, 167 reviews), [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) (4.6/5 stars, 519 reviews), and [Databricks](https://www.g2.com/products/databricks/reviews) (4.6/5 stars, 803 reviews). These platforms are rated equal or higher than Amazon SageMaker (4.2/5 stars, 55 reviews) and have significantly larger review counts, indicating strong user adoption and satisfaction. ### Which Data Science and Machine Learning Platforms tools do reviewers recommend instead of Amazon SageMaker? Reviewers recommend alternatives such as [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) for its ease of use, model variety, and seamless integration with enterprise tools. [Dataiku](https://www.g2.com/products/dataiku/reviews) is favored for its universal AI platform approach, combining visual workflows with code flexibility, strong collaboration, and automation features. [Azure Machine Learning Studio](https://www.g2.com/products/microsoft-azure-machine-learning/reviews) is praised for its comprehensive lifecycle management, AutoML, responsible AI features, and integration with Microsoft services. [Alteryx](https://www.g2.com/products/alteryx/reviews) is highlighted for its intuitive drag-and-drop interface, automation, and broad connectivity. [IBM Watson Studio](https://www.g2.com/products/ibm-watson-studio/reviews) is recommended for enterprise-grade AI with AutoAI, collaboration, and integration with IBM Cloud. [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) is noted for its no-code/low-code environment, AutoML, and ease of use. [Databricks](https://www.g2.com/products/databricks/reviews) is favored for its unified platform combining data engineering, analytics, and machine learning with collaborative notebooks and strong scalability. These alternatives are recommended for users seeking more usability, better collaboration, and advanced features beyond what Amazon SageMaker offers. ### How does Amazon SageMaker compare to Gemini Enterprise Agent Platform? [Amazon SageMaker](https://www.g2.com/products/amazon-sagemaker/reviews) and [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) both offer comprehensive machine learning platforms with strong integration capabilities and support for end-to-end workflows. Amazon SageMaker holds a slight advantage in Ease of Admin (8.4 vs 7.9) and Ease of Setup (8.3 vs 8.1), while Gemini Enterprise Agent Platform scores marginally lower in Usability (8.2 vs 8.3) and Support (8.1 vs 8.6). Amazon SageMaker excels in operational glue, providing a managed path from experimentation to deployment within AWS's ecosystem, with features like distributed training, model tuning, and monitoring. Gemini Enterprise Agent Platform is praised for its ease of use, model variety, and seamless integration with Google Cloud services, including access to over 150 foundation models such as Gemini, with strong generative AI capabilities and agent orchestration tools. Both platforms face challenges with pricing complexity and steep learning curves, but Amazon SageMaker users note opaque pricing and complexity due to AWS service dependencies, while Gemini users report high costs and a complex UI with a steep learning curve. Amazon SageMaker is favored for its managed infrastructure and scalability within AWS, whereas Gemini Enterprise Agent Platform is preferred for its integrated Google Cloud ecosystem, AutoML features, and unified ML lifecycle management. According to G2, Amazon SageMaker has an average rating of 4.2/5 from 55 reviews, while Gemini Enterprise Agent Platform holds a 4.3/5 rating from 658 reviews, reflecting strong user satisfaction for both. ### Why do users choose Gemini Enterprise Agent Platform over Amazon SageMaker? Users choose [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) over Amazon SageMaker primarily for its ease of use and seamless integration with the Google Cloud ecosystem. With 162 mentions of ease of use and 114 mentions of model variety, Gemini is favored for providing a unified platform that consolidates data preparation, model training, deployment, and monitoring, simplifying complex workflows. Its access to a broad range of foundation models, including the Gemini family, and strong generative AI capabilities enable users to build and deploy AI solutions efficiently. Gemini's integrated platform supports automation, agent orchestration, and no-code/low-code features, which appeal to enterprises seeking to accelerate AI adoption without deep infrastructure management. Users appreciate the platform's ability to streamline complex agent workflows, saving significant development time. Despite a steep learning curve and pricing concerns noted in 75 reviews, Gemini's scalability, extensive AI capabilities, and tight integration with Google Cloud services like BigQuery and Cloud Storage make it a preferred choice for teams invested in the Google ecosystem. In contrast, Amazon SageMaker users highlight complexity, opaque pricing, and a steeper learning curve related to AWS service dependencies. Gemini's higher Ease of Business score (8.3 vs 9.2 for SageMaker) and strong support for generative AI and agent building contribute to its selection over SageMaker for enterprises prioritizing integrated AI workflows and Google Cloud compatibility, as reflected in G2's extensive user feedback. ## Explore Articles - [What is the most affordable recruitment marketing software for SMBs?](https://www.g2.com/discussions/what-is-the-most-affordable-recruitment-marketing-software-for-smbs) - [Top job search websites for technology jobs](https://www.g2.com/discussions/top-job-search-websites-for-technology-jobs) - [Best partner relationship management software for small businesses](https://www.g2.com/discussions/best-partner-relationship-management-software-for-small-businesses) - [Top-rated AML software for banks](https://www.g2.com/discussions/top-rated-aml-software-for-banks) - [Top computerized maintenance management systems for manufacturing](https://www.g2.com/discussions/what-are-the-top-computerized-maintenance-management-systems-for-manufacturing) - [What is the best rated app to manage business passwords?](https://www.g2.com/discussions/what-is-the-best-rated-app-to-manage-business-passwords) ## Spotlight Categories - [Threat Intelligence Software](https://www.g2.com/categories/threat-intelligence) - [Digital Asset Management Software](https://www.g2.com/categories/digital-asset-management) - [Operational Risk Management Software](https://www.g2.com/categories/operational-risk-management)