Best Low-Code Machine Learning Platforms Software

Adam Crivello
AC
Researched and written by 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, 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 Platforms

According 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.

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Featured Low-Code Machine Learning Platforms Software At A Glance

Leader:
SAS Viya
SAS Viya
Easiest to Use:
SAS Viya
SAS Viya
Top Trending:
Vertex AI
Vertex AI
Best Free Software:
SAS Viya
SAS Viya
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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.

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19 Listings in Low-Code Machine Learning Platforms Available
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SAS Viya

(732)4.3 out of 5
1st Easiest To Use in Low-Code Machine Learning Platforms software
OverviewPros and Cons
Product Description

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

Users: Student, Biostatistician · Industries: Pharmaceuticals, Computer Software · Market Segment: 33% Enterprise, 32% Small-Business
User Sentiment

Users frequently mention the platform's ability to process massive datasets efficiently in the cloud environment, its multi-language support, and its effective performance and memory processing. Reviewers experienced issues with the complexity of the initial setup, the steep learning curve for new users, and the high licensing and implementation costs.

Pros and ConsSeller Details
ProsEase of Use, Features, Analytics, Data Analysis, User Interface
ConsLearning Difficulty, Learning Curve, Complexity, Difficult Learning, Expensive
Seller Details
Year Founded
1976
HQ Location
Cary, NC
Company Website
https://www.sas.com/
Twitter
@SASsoftware
LinkedIn® Page
https://www.linkedin.com/company/1491/
Phone
1-800-727-0025

Dataiku

(190)4.4 out of 5
Entry Level Price:Free
3rd Easiest To Use in Low-Code Machine Learning Platforms software
View top Consulting Services for Dataiku
OverviewPros and Cons
Product Description

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

Users: Data Scientist, Data Analyst · Industries: Financial Services, Pharmaceuticals · Market Segment: 59% Enterprise, 23% Mid-Market
User Sentiment

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.

Pros and ConsSeller Details
ProsEase of Use, Features, Usability, Easy Integrations, Productivity Improvement
ConsLearning Curve, Steep Learning Curve, Slow Performance, Difficult Learning, Expensive
Seller Details
Year Founded
2013
HQ Location
New York, NY
Company Website
https://Dataiku.com
Twitter
@dataiku
LinkedIn® Page
https://www.linkedin.com/company/dataiku/
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Vertex AI

(652)4.3 out of 5
Entry Level Price:Pay As You Go
View top Consulting Services for Vertex AI
OverviewPros and Cons
Product Description

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

Users: Software Engineer, Data Scientist · Industries: Computer Software, Information Technology and Services · Market Segment: 41% Small-Business, 31% Enterprise
Pros and ConsSeller Details
ProsEase of Use, Model Variety, Features, Machine Learning, Easy Integrations
ConsExpensive, Learning Curve, Complexity, Complexity Issues, Difficult Learning
Seller Details
Year Founded
1998
HQ Location
Mountain View, CA
Company Website
https://cloud.google.com/
Twitter
@google
LinkedIn® Page
https://www.linkedin.com/company/1441/
Ownership
NASDAQ:GOOG
Phone
+1 (650) 253-0000

Alteryx

(672)4.6 out of 5
Entry Level Price:$3,000.00
2nd Easiest To Use in Low-Code Machine Learning Platforms software
View top Consulting Services for Alteryx
OverviewPros and Cons
Product Description

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

Users: Data Analyst, Consultant · Industries: Financial Services, Accounting · Market Segment: 62% Enterprise, 22% Mid-Market
User Sentiment

Reviewers appreciate Alteryx's intuitive interface, automation features, and its ability to handle large datasets, which significantly reduces manual effort and processing time, and improves reporting efficiency. Users reported that the application's performance slows when workflows become highly complex, error messages need clearer guidance for non-technical users, and high memory consumption affects performance on standard office laptops.

Pros and ConsSeller Details
ProsEase of Use, Automation, Intuitive, Easy Learning, Efficiency
ConsExpensive, Learning Curve, Missing Features, Learning Difficulty, Slow Performance
Seller Details
Year Founded
1997
HQ Location
Irvine, CA
Company Website
https://www.alteryx.com
Twitter
@alteryx
LinkedIn® Page
https://www.linkedin.com/company/903031/
Ownership
Private
Phone
714-516-2400

Altair AI Studio

(516)4.6 out of 5
OverviewPros and Cons
Product Description

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

Users: Student, Data Scientist · Industries: Higher Education, Education Management · Market Segment: 43% Small-Business, 30% Mid-Market
User Sentiment

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.

Pros and ConsSeller Details
ProsEase of Use, Machine Learning, AI Integration, AI Technology, Automation
ConsComplexity, Large Dataset Handling, Slow Performance, Complexity Issues, Complex Usage
Seller Details
Year Founded
1985
HQ Location
Troy, MI
Company Website
https://www.altair.com/
LinkedIn® Page
https://www.linkedin.com/company/8323/
Ownership
NASDAQ:ALTR

Qlik Predict

(81)4.4 out of 5
Entry Level Price:Free
View top Consulting Services for Qlik Predict
OverviewPros and Cons
Product Description

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

Users: Data Analyst · Industries: Information Technology and Services, Computer Software · Market Segment: 38% Enterprise, 31% Small-Business
Pros and ConsSeller Details
ProsAutomation, Ease of Use, AI Integration, Machine Learning, AI Capabilities
ConsLimited Customization, Deployment Issues, Lacking Features, Required Knowledge, Tool Limitations
Seller Details
Year Founded
1993
HQ Location
Radnor, PA
Company Website
https://www.qlik.com/
Twitter
@qlik
LinkedIn® Page
https://www.linkedin.com/company/10162/
Phone
1 (888) 994-9854

KNIME

(70)4.4 out of 5
Entry Level Price:Free
OverviewPros and Cons
Product Description

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

Industries: Information Technology and Services, Higher Education · Market Segment: 49% Enterprise, 36% Mid-Market
Pros and ConsSeller Details
ProsEase of Use, Coding Ease, Ease of Learning, Learning, Data Visualization
ConsLearning Difficulty, Memory Usage, Storage Limitations, Data Management Issues, Insufficient Learning Resources
Seller Details
Year Founded
2008
HQ Location
Zurich, Switzerland
Company Website
https://knime.com
Twitter
@knime
LinkedIn® Page
https://www.linkedin.com/company/692207?trk=tyah&trkInfo=clickedVertical%3Acompany%2CclickedEntityId%3A692207%2Cidx%3A2-1-4%2CtarId%3A1454002156993%2Ctas%3Aknime

IBM watsonx.ai

(144)4.4 out of 5
OverviewPros and Cons
Product Description

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

Users: Consultant · Industries: Information Technology and Services, Computer Software · Market Segment: 40% Small-Business, 31% Enterprise
Pros and ConsSeller Details
ProsEase of Use, Model Variety, Features, AI Integration, AI Capabilities
ConsDifficult Learning, Complexity, Learning Curve, Expensive, Improvement Needed
Seller Details
Year Founded
1911
HQ Location
Armonk, NY
Company Website
https://www.ibm.com/us-en
Twitter
@IBM
LinkedIn® Page
https://www.linkedin.com/company/1009/
Ownership
SWX:IBM
Phone
1-866-277-7488

Clarifai

(66)4.3 out of 5
Entry Level Price:Free
OverviewPros and Cons
Product Description

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

Industries: Computer Software, Information Technology and Services · Market Segment: 61% Small-Business, 27% Mid-Market
Pros and ConsSeller Details
ProsFeatures, AI Technology, Model Variety, AI Integration, AI Modeling
ConsExpensive, Complexity, Difficult Learning, Lack of Resources, Poor Documentation
Seller Details
Year Founded
2013
HQ Location
Wilmington, Delaware
Company Website
https://www.clarifai.com/
Twitter
@clarifai
LinkedIn® Page
https://www.linkedin.com/company/10064814/

Azure Machine Learning

(88)4.3 out of 5
OverviewPros and Cons
Product Description

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

Users: Software Engineer · Industries: Information Technology and Services, Computer Software · Market Segment: 39% Enterprise, 34% Small-Business
Pros and ConsSeller Details
ProsEase of Use, Features, Customer Support, Data Management, Efficiency
ConsLearning Curve, Difficult Navigation, UX Improvement, Complex Interface, Difficult Learning
Seller Details
Year Founded
1975
HQ Location
Redmond, Washington
Company Website
https://www.microsoft.com/
Twitter
@microsoft
LinkedIn® Page
https://www.linkedin.com/company/microsoft/
Ownership
MSFT
Phone
+1 (877) 276-2464

Neuton AutoML

(17)4.5 out of 5
Entry Level Price:$699 user/month
OverviewSeller Details
Product Description

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

Market Segment: 35% Enterprise, 35% Small-Business
Seller Details
Year Founded
2003
HQ Location
San Jose, CA
Company Website
https://www.bell.one/
LinkedIn® Page
https://www.linkedin.com/company/bellintegrator/

Pecan

(35)4.7 out of 5
Entry Level Price:Starting at $760.00
OverviewPros and Cons
Product Description

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

Industries: Retail · Market Segment: 54% Mid-Market, 20% Enterprise
Pros and ConsSeller Details
ProsEase of Use, Customer Support, Speed, Problem Solving, Implementation Ease
ConsLearning Difficulty, Limitations, Limited Features, Learning Curve, Limited Customization
Seller Details
Year Founded
2018
HQ Location
US, Israel
Company Website
https://www.pecan.ai
Twitter
@pecan_ai
LinkedIn® Page
https://www.linkedin.com/company/pecan-ai/

Amazon SageMaker

(48)4.2 out of 5
View top Consulting Services for Amazon SageMaker
OverviewPros and Cons
Product Description

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

Industries: Information Technology and Services, Computer Software · Market Segment: 33% Enterprise, 31% Mid-Market
Pros and ConsSeller Details
ProsEase of Use, AI Integration, Computing Power, Efficiency, Fast Processing
ConsExpensive, Complexity, Complexity Issues, Learning Curve, Difficult Learning
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Company Website
https://aws.amazon.com/?nc2=h_lg
Twitter
@awscloud
LinkedIn® Page
https://www.linkedin.com/company/amazon-web-services/
Ownership
NASDAQ: AMZN

H2O Driverless AI

(4)4.3 out of 5
OverviewPros and Cons
Product Description

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

Market Segment: 50% Small-Business, 25% Mid-Market
Pros and ConsSeller Details
ProsEase of Use, Coding Ease, Machine Learning, Problem Solving
ConsInadequate Tools, Limited Features, UX Improvement
Seller Details
Year Founded
2012
HQ Location
Mountain View, CA
Company Website
https://www.h2o.ai
Twitter
@h2oai
LinkedIn® Page
https://www.linkedin.com/company/2820918/

BigML

(24)4.7 out of 5
Entry Level Price:$30 per month
OverviewSeller Details
Product Description

Enjoy the power of Programmatic Machine Learning

Users: Software Engineer, Senior Software Engineer · Industries: Computer Software · Market Segment: 88% Small-Business, 8% Mid-Market
Seller Details
Year Founded
2011
HQ Location
Corvallis, OR
Company Website
https://bigml.com
Twitter
@bigmlcom
LinkedIn® Page
https://www.linkedin.com/company/1742510
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