10+ Best Data Science and Machine Learning Platform Softwares 2023
IBM Watson Machine Learning
Data Science and Machine Learning Platforms provide users with tools to build, deploy, and monitor machine learning algorithms. These platforms combine intelligent, decision-making algorithms with data, thereby enabling developers to create a business solution. Some platforms offer prebuilt algorithms and simplistic workflows with such features as drag-and-drop modeling and visual interfaces that easily connect necessary data to the end solution, while others require a greater knowledge of development and coding. These algorithms can include functionality for image recognition, natural language processing, voice recognition, and recommendation systems, in addition to other machine learning capabilities.
| ||IBM Watson Machine Learning||4.1||Thomas J. Watson||Custom||2014||$5.7 B||6500+||New York||1757+ Reviews||10001+|
| ||DataRobot||4.4||Jeremy Achin||Custom||2012||$210 M||1200+||Boston||4720+ Reviews||400+|
| ||Azure Machine Learning Studio||4.2||Satya Nadella||$931||2010||N/A||5000+||Colorado||3500+ Reviews||229111+|
| ||Google Cloud AI Platform||4.3||Thomas Kurian||Custom||2014||$10 B||10001+||Mountain View||1987+ Reviews||900000+|
| ||IBM Watson Studio||4.1||Thomas J. Watson||Custom||2014||$5.7 B||6500+||New York||1757+ Reviews||26667+|
| ||RapidMiner||4.6||Peter Y Lee||$10||2007||$8.4 M||120+||Boston||4870+ Reviews||250000+|
| ||MATLAB Data Science and Machine Learning||4.5||Cleve Moler||Custom||1984||$900 M||5000+||Natick||1778+ Reviews||30474+|
| ||Anaconda Enterprise||4.5||Scott Collison||$14.95||2012||$19.3 M||133+||Austin||4800+ Reviews||N/A|
| ||C3 AI Suite||4.5||Siebel||Custom||2009||$160 M||500+||Redwood City||6490+ Reviews||N/A|
| ||Dataiku||4.2||Florian Douetteau||Custom||2013||$68.4 M||400+||New York||6900+ Reviews||250+|
IBM Watson Machine Learning
IBM Watson Machine Learning is a comprehensive IBM Cloud product that enables developers and data scientists to collaborate on advanced analytics for their applications. The Machine Learning service is a set of REST APIs that may be used to build apps that make better judgments, solve difficult issues, and enhance user results. IBM Watson Machine Learning reaches $1 billion of the annual revenue.
AI Cloud is a unique method designed to meet today's AI expectations, problems, and possibilities. Every business will benefit from a single system of record that will speed up the delivery of AI to production. Throughout the AI lifespan, all users cooperate in a single platform designed for ongoing enhancement. After a surge in sales during the epidemic, the firm claimed its yearly recurring revenue was well over $100 million last year. The firm was valued at $2.7 billion after its most recent financing in November.
Azure Machine Learning Studio
Azure Machine Learning Studio is an online site that provides low-code and no-code alternatives for project creation and asset management in Azure Machine Learning. They have information on 1,584 Azure Machine Learning users. The majority of Azure Machine Learning users are based in the United States and work in the Computer Software business. Companies with more than 1000 workers and a revenue of more than $1000 million are the most likely to adopt Azure Machine Learning. Azure Machine Learning use statistics dates back four years and two months.
Google Cloud AI Platform
The Google Cloud AI Platform is a set of services aimed at creating, deploying, and maintaining machine learning models on the cloud. Google Cloud, the industry's third largest cloud computing service, saw revenue rise to $4.63 billion for the three months ending June 30, up from $3 billion the previous year.
IBM Watson Studio
IBM Watson Studio On IBM Cloud Pak® for Data, IBM Watson® Studio allows data scientists, developers, and analysts to create, execute, and manage AI models, as well as optimize choices. On an open multicloud architecture, bring teams together, automate AI lifecycles, and accelerate time to value. Combine open source frameworks for code-based and visual data science, such as PyTorch, TensorFlow, and scikit-learn, with IBM and its ecosystem resources. Work using Jupyter notebooks, JupyterLab, and CLIs — or in Python, R, and Scala if you like. Watson has brought in just $100 million in income over the previous three years, despite IBM's predictions that Watson will bring in $1 billion yearly by 2018.
RapidMiner is a long-time data science and artificial intelligence company. They're a team of data scientists, engineers, developers, and data analytics experts. RapidMiner has 700,000+ global users, including 40,000+ organizations, 4,000+ universities, and 350+ enterprise clients. Over the years, they've received multiple rewards and recognitions from the likes of Forrester and Gartner. Today, RapidMiner strongly remains one of the best brands in the data science industry.
MATLAB Data Science and Machine Learning
MATLAB is the flagship data science and machine learning product of MathWorks. MathWorks is an American company known for their mathematical computing software. Their customer base consists of 5 million+ users and 100,000+ organizations. They have 34 global locations and a workforce of over 5,000 staff members. MathWorks' team of experts continuously strives to make improvements with MATLAB and to push boundaries in machine learning and data science.
Anaconda is one of the most prominent data science companies worldwide. They have over 25M users across 235 countries and regions. Their team consists of among the world's best data scientists, engineers, and data analytics experts. Anaconda prides themselves not just as a data science company but also as a movement in empowering people with data literacy.
C3 AI Suite
Markets and Markets reports that the data science platform market will have a CAGR of 30.0% by 2024. Companies like C3 AI are likely among the reasons behind it. C3 AI is a leading provider of data science platforms and enterprise AI software. Their customer base spans multiple industries, that includes industry-leading brands and organizations such as Shell, US Air Force, Baker Hughes, 3M, Raytheon Technologies, and more.
Dataiku is a machine learning and artificial intelligence company that was founded in 2013. Their platform is trusted by more than 450 companies worldwide and they generate millions of dollars in revenue annually. Dataiku's team is composed of industry-leading data scientists, experts, and engineers. They all work cohesively to deliver the best results and to push data science boundaries.