Best Low-Code Machine Learning Platforms Software for Medium-Sized Businesses

Adam Crivello
AC
Researched and written by Adam Crivello

Products classified in the overall Low-Code Machine Learning Platforms category are similar in many regards and help companies of all sizes solve their business problems. However, medium-sized business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Medium-Sized Business Low-Code Machine Learning Platforms to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Medium-Sized Business Low-Code Machine Learning Platforms category.

In addition to qualifying for inclusion in the Low-Code Machine Learning Platforms Software category, to qualify for inclusion in the Medium-Sized Business Low-Code Machine Learning Platforms Software category, a product must have at least 10 reviews left by a reviewer from a medium-sized business.

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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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3 Listings in Low-Code Machine Learning Platforms Available
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SAS Viya
(726)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

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.

Pros and ConsSeller Details
ProsEase of Use, Features, Analytics, Data Analysis, User Interface
ConsLearning Difficulty, Learning Curve, Complexity, Difficult Learning, Expensive
Seller Details
Seller
SAS Institute Inc.
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,046 Twitter followers
LinkedIn® Page
www.linkedin.com
18,238 employees on LinkedIn®
Alteryx
(670)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 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.

Pros and ConsSeller Details
ProsEase of Use, Automation, Intuitive, Easy Learning, Efficiency
ConsExpensive, Learning Curve, Missing Features, Learning Difficulty, Slow Performance
Seller Details
Seller
Alteryx
Company Website
Year Founded
1997
HQ Location
Irvine, CA
Twitter
@alteryx
26,241 Twitter followers
LinkedIn® Page
www.linkedin.com
2,265 employees on LinkedIn®
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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
Seller
Altair
Company Website
Year Founded
1985
HQ Location
Troy, MI
LinkedIn® Page
www.linkedin.com
3,169 employees on LinkedIn®
Ownership
NASDAQ:ALTR
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