Data Science / ML / AI Platform

AI platforms (also called machine learning platforms or data science platforms) allow users to analyze data and process data, build machine learning models, deploy and maintain these models.

To be categorized as an AI platform, a product must be able to:

  • Work with a variety of use cases, should not be specific to one industry
  • Allow users to build, deploy and maintain models that power business decisions
Innovators Specialists Leaders Challengers Market Presence Momentum
Popularity
Satisfaction
Maturity
Pricing
Country

Compare Data Science / ML / AI Platforms
Results: 55

AIMultiple is data driven. Evaluate 55 products based on comprehensive, transparent and objective AIMultiple scores. For any of our scores, click the icon to learn how it is calculated based on objective data.

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92.51047364843528
94.04641184114847
0.6486482463722604
100
0.8984131252434783
78.71635072610479
top10
4star
Pega Platform
4.24
100%
100%
100%
= 2 reviews
= 30 employees
= 100,000 visitors

A recognized leader in artificial intelligence, digital process automation, and customer engagement, Pega powers enterprise digital transformation with a unified, no-code platform

73.12974575033702
68.5702730885254
0.09459465820375536
72.34168254270405
18.87512195458291
65.67216287923284
true
4star
Google Cloud Machine Learning Engine Free trial available
4.32
100%
100%
14%
= 2 reviews
= 30 employees
= 100,000 visitors

Start building your machine learning projects using AI Platform Notebooks.

72.17180839548891
67.81415251535559
1.7567565965441574
68.89515938027581
100
65.20818411248882
top10
top5 , top10
true
4star
IBM Watson Studio Free trial available
4.10
100%
100%
100%
= 2 reviews
= 30 employees
= 100,000 visitors

Together with IBM Watson Machine Learning, IBM Watson Studio is a leading data science and machine learning platform

65.36715411015282
61.381404986992024
0.18918931640751072
62.10183968882957
100
59.61013845595652
top5 , top10
4star
IBM Watson Machine Learning
4.00
100%
100%
29%
= 2 reviews
= 30 employees
= 100,000 visitors

IBM Watson Machine Learning (WML) Service enables you to create, train, and deploy self-learning models using an automated, collaborative workflow.

61.59781363837287
57.60281006743492
100
57.48569830723132
18.87512195458291
59.01842841270846
top5 , top10
5star
TensorFlow
4.50
100%
100%
100%
= 2 reviews
= 30 employees
= 100,000 visitors

Popularity

Searches with brand name

These are the number of queries on search engines which include the brand name of the product. Compared to other product based solutions, Data science / ML / AI platform is more concentrated in terms of top 3 companies' share of search queries. Top 3 companies receive 84% (8% more than average) of search queries in this area.

Web Traffic

Data science / ML / AI platform is a highly concentrated solution category in terms of web traffic. Top 3 companies receive 82% (5% more than average solution category) of the online visitors on Data science / ML / AI platform company websites.

Satisfaction

Data science / ML / AI platform is highly concentrated than average in terms of user reviews. Top 3 companies receive 76% (19% more than average solution category) of the reviews on Data science / ML / AI platform company websites. Product satisfaction tends to be slightly higher for more popular Data science / ML / AI platform products. Average rating for top 3 products is 4.2 vs 4.1 for average Data science / ML / AI platform product review.

Leaders Average Review Score Number of Reviews

Maturity

Number of Employees

Median number of employees that provide Data science / ML / AI platform is 82 which is 22 more than the median number of employees for the average solution category.

In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 44 companies (5 less than average solution category) with >10 employees are offering Data science / ML / AI platform. Top 3 products are developed by companies with a total of 0.5-1M employees. However, all of these top 3 companies have multiple products so only a portion of this workforce is actually working on these top 3 products.

IBM
Amazon Web Services (AWS)
wipro
Oracle