Best Low-Code Machine Learning Platforms Software
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 PlatformsTo qualify for inclusion in the Low-Code Machine Learning (ML) Platforms category, a product must:
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:
Unlike traditional 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 Reviews on Low-Code Machine Learning PlatformsAccording to G2 review data, users highlight the visual model builder and AutoML capabilities as standout features. Data and business teams frequently cite faster time-to-model deployment and reduced dependency on data science resources as primary benefits of adoption.
Featured Low-Code Machine Learning Platforms Software At A Glance
G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.
SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and e
SAS Viya is a cloud-native platform that provides detailed keyword and sentiment analysis, and allows users to customize categories for analysis. Reviewers appreciate SAS Viya's scalability, seamless integration of data preparation, advanced analytics, and machine learning within a single platform, and its user-friendly UI combined with powerful statistical capabilities. Users mentioned that SAS Viya has a steep learning curve for new users, especially when transitioning from open-source ecosystems like Python, and its cost structure could be improved.
61,046 Twitter followers
Dataiku is the Platform for AI Success that unites people, orchestration, and governance to turn AI investments into measurable business outcomes. It helps organizations move from fragmented experimen
Dataiku is a data science and machine learning platform that centralizes and organizes data, supports collaboration, and manages the full data lifecycle from preparation to deployment. Users like Dataiku's user-friendly interface, strong collaboration features, and its ability to streamline building, training, and deploying AI models at scale, making generative AI projects faster and more reliable. Reviewers noted that Dataiku can be demanding on system resources, especially when working with large datasets, and its extensive features can be overwhelming for new users, leading to a steeper learning curve.
22,947 Twitter followers
Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, a
31,798,732 Twitter followers
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 perf
Alteryx is a data science and analytics platform that allows users to prepare, clean, manipulate, and analyze data through a drag and drop interface. Reviewers frequently mention the platform's ability to automate repetitive tasks, handle large datasets, and streamline data processes, allowing teams to focus more on insights rather than data wrangling. Reviewers noted that the pricing is on the higher side, performance can slow down with very large workflows, and there are issues with data type mismatches and software crashes.
26,241 Twitter followers
Qlik AutoML (automated machine learning) brings AI-generated machine learning models and predictive analytics directly to your organization’s larger community of analytics users and teams, in a simpl
64,327 Twitter followers
Altair AI Studio (formerly RapidMiner Studio) is a data science tool that anyone can use to design and prototype highly explainable AI and machine learning models that help build trust throughout an o
Altair AI Studio is a software with a no-code, drag and drop interface that enables data connectivity and advanced machine learning for data analytics and decision making. Users frequently mention the ease of use, the ability to connect to data sources directly, the advanced machine learning capabilities, and the drag and drop feature for creating reports. Reviewers mentioned slower performance when handling large datasets, occasional UI bugs, complex integration with certain legacy systems, and complications when contacting support.
KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work wi
8,025 Twitter followers
Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI
708,652 Twitter followers
Clarifai is a leader in AI orchestration and development, helping organizations, teams, and developers build, deploy, orchestrate, and operationalize AI at scale. Clarifai’s cutting-edge AI workflow o
10,769 Twitter followers
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
13,090,136 Twitter followers
Neuton (https://neuton.ai), a new AutoML solution, allows users to build compact AI models with just a few clicks and without any coding. Neuton also happens to be the most EXPLAINABLE Neural Network
Pecan AI is a predictive analytics platform that helps business teams understand what’s likely to happen next, while there is still time to act. With Pecan’s Predictive AI Agent, teams can turn busine
1,144 Twitter followers
Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools an
2,220,322 Twitter followers
H2O Driverless AI employs the techniques of expert data scientists in an easy to use application that helps scale your data science efforts. Driverless AI empowers data scientists to work on projects
25,284 Twitter followers
Enjoy the power of Programmatic Machine Learning
6,094 Twitter followers
