What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in mlops platforms category. Our data sources in mlops platforms category include;
MLOps platforms provide end-to-end machine learning lifecycle management. These platforms help data scientists in:
AIMultiple is data driven. Evaluate 10 services based on
comprehensive, transparent and objective AIMultiple scores.
For any of our scores, click the information icon to learn how it is
calculated based on objective data.
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Dataiku's single, collaborative platform powers both self-service analytics and the operationalization of machine learning models in production.
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models
DataRobot's automated machine learning platform makes it fast and easy to build and deploy accurate predictive models.
A deep learning platform for scalable infrastructure, version control and team management.
Machine Learning Platform For AI provides end-to-end machine learning services
We use the data sources on the side for ranking solutions and awarding badges in mlops platforms category. Our data sources in mlops platforms category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
Cloudera
Dataiku
Amazon SageMaker
DataRobot
H2O
Taking into account the latest metrics outlined below, these are the current mlops platforms market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
Cloudera
Dataiku
DataRobot
Amazon SageMaker
H2O
These are the number of queries on search engines which include the brand name of the solution. Compared to other Machine Learning categories, MLOps Platforms is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 85%, 1% more than the average of search queries in this area.
1,971 employees work for a typical company in this solution category which is 1,950 more than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 8 companies with >10 employees are offering mlops platforms. Top 3 products are developed by companies with a total of 100k employees. The largest company building mlops platforms is AWS with more than 100,000 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
Dataiku
Cloudera
Amazon SageMaker
DataRobot
H2O
We have analyzed reviews published in the last months. These were published in 4 review platforms as well as vendor websites where the vendor had provided a testimonial from a client whom we could connect to a real person.
These solutions have the best combination of high ratings from reviews and number of reviews when we take into account all their recent reviews.
This data is collected from customer reviews for all MLOps Platforms companies. The most positive word describing MLOps Platforms is “Easy to use” that is used in 4% of the reviews. The most negative one is “Expensive” with which is used in 1.00% of all the MLOps Platforms reviews.
According to customer reviews, most common company size for mlops platforms customers is 1,001+ employees. Customers with 1,001+ employees make up 40% of mlops platforms customers. For an average Machine Learning solution, customers with 1,001+ employees make up 34% of total customers.
These scores are the average scores collected from customer reviews for all MLOps Platforms. MLOps Platforms is most positively evaluated in terms of "Overall" but falls behind in "Likelihood to Recommend".
This category was searched on average for 967 times per month on search engines in 2022. This number has decreased to 920 in 2023. If we compare with other machine learning solutions, a typical solution was searched 967 times in 2022 and this decreased to 920 in 2023.