# Best Low-Code Machine Learning Platforms Software - Page 2 *By [Adam Crivello](https://research.g2.com/insights/author/adam-crivello)* Low-code machine learning (ML) platforms enable businesses to build, train, and deploy ML models primarily through visual or guided interfaces, using drag-and-drop tools, AutoML workflows, and wizard-style guidance to make predictive modeling and AI development accessible to business analysts, subject matter experts, and data scientists without extensive coding expertise. ### Core Capabilities of Low-Code Machine Learning Platforms To qualify for inclusion in the Low-Code Machine Learning (ML) Platforms category, a product must: - Provide a graphical, low-code or no-code interface to build and train custom ML models on user-provided data - Include built-in functionality to evaluate trained models - Offer direct deployment options from the interface, such as batch scoring, API endpoints, or managed service environments - Support data ingestion through uploads or connectors to databases, cloud storage, or other sources - Enable collaboration and governance through features like role-based access, project or workspace management, or auditability ### Common Use Cases for Low-Code Machine Learning Platforms Business analysts, data scientists, and non-technical teams use low-code ML platforms to accelerate AI adoption without deep programming expertise. Common use cases include: - Building and deploying predictive models for use cases such as churn prediction, demand forecasting, and fraud detection - Empowering non-technical subject matter experts to contribute to ML model development using visual interfaces - Standardizing the deployment and governance of ML models into production environments across the enterprise ### How Low-Code Machine Learning Platforms Differ from Other Tools Unlike traditional [data science and machine learning platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms), which require extensive programming and are primarily designed for experienced data scientists, low-code ML platforms deliver end-to-end ML lifecycle functionality through a user-friendly interface. Some enterprise cloud providers offer low-code ML capabilities within broader AI ecosystems, while dedicated vendors focus solely on visual model development and deployment. ### Insights from G2 on Low-Code Machine Learning Platforms Based on category trends on G2, the visual model builder and AutoML capabilities stand out as standout features. These platforms deliver faster time-to-model deployment and reduced dependency on data science resources as primary benefits of adoption. ## How Many Low-Code Machine Learning Platforms Software Products Does G2 Track? **Total Products under this Category:** 20 ### Category Stats (Jun 2026) - **Average Rating**: 4.41/5 The average rating of products in this category, based on all submitted ratings - **New Reviews This Quarter**: 74 - **Buyer Segments**: Enterprise 45% │ Mid-Market 29% │ Small-Business 27% Represents the distribution of reviewers across all products in this category. - **Top Trending Product**: DataRobot (+0.5%) - Among all products in this category, DataRobot recorded the largest rating increase compared to last month *Last updated: June 18, 2026* ## How Does G2 Rank Low-Code Machine Learning Platforms Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 3,600+ Authentic Reviews - 20+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Which Low-Code Machine Learning Platforms Software Is Best for Your Use Case? - **Leader:** [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) - **Easiest to Use:** [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) - **Top Trending:** [Dataiku](https://www.g2.com/products/dataiku/reviews) - **Best Free Software:** [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) --- **Sponsored** ### Alteryx Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1011941&secure%5Bdisplayable_resource_id%5D=1011941&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1011941&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=989&secure%5Bresource_id%5D=1011941&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Flow-code-machine-learning-platforms%3Fpage%3D2&secure%5Btoken%5D=ab703522e93171f8d88ac6d6edf274c994dc7c16939fc81456c5c3e1398fadff&secure%5Burl%5D=https%3A%2F%2Fwww.alteryx.com%2Ftrial%3Futm_source%3Dg2%26utm_medium%3Dreviewsite%26utm_campaign%3DFY25_Global_AllRegions_AlwaysOn_AllPersonas_IndustryAgnostic%26utm_content%3Dg2_freetrial&secure%5Burl_type%5D=free_trial) --- ## What Is Low-Code Machine Learning Platforms Software? [Artificial Intelligence Software](https://www.g2.com/categories/artificial-intelligence) ## What Software Categories Are Similar to Low-Code Machine Learning Platforms Software? - [Predictive Analytics Software](https://www.g2.com/categories/predictive-analytics) - [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) - [Machine Learning Software](https://www.g2.com/categories/machine-learning) - [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) - [MLOps Platforms](https://www.g2.com/categories/mlops-platforms) - [Generative AI Infrastructure Software](https://www.g2.com/categories/generative-ai-infrastructure) - [Large Language Model Operationalization (LLMOps) Software](https://www.g2.com/categories/large-language-model-operationalization-llmops)