What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in machine learning data catalogs category. Our data sources in machine learning data catalogs category include;
Machine learning data catalog (MLDC) software is a tool used for automating data discovery in enterprise databases, crawling metadata, and classifying personally identifiable information (PII). MLDCs leverage AI to provide functionalities such as:
AIMultiple is data driven. Evaluate 31 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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We use the data sources on the side for ranking solutions and awarding badges in machine learning data catalogs category. Our data sources in machine learning data catalogs category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
erwin Data Catalog
Collibra
Reltio Cloud
Denodo
Appen
Taking into account the latest metrics outlined below, these are the current machine learning data catalogs market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
erwin Data Catalog
Collibra
Appen
Reltio Cloud
Atlan
These are the number of queries on search engines which include the brand name of the solution. Compared to other Machine Learning categories, Machine Learning Data Catalogs is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 91%, 5% more than the average of search queries in this area.
176 employees work for a typical company in this solution category which is 155 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. 18 companies with >10 employees are offering machine learning data catalogs. Top 3 products are developed by companies with a total of 20k employees. The largest company building machine learning data catalogs is Appen with more than 10,000 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
erwin Data Catalog
Denodo
Reltio Cloud
Collibra
Appen
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 Machine Learning Data Catalogs companies. The most positive word describing Machine Learning Data Catalogs is “Easy to use” that is used in 4% of the reviews. The most negative one is “Difficult” with which is used in 4.00% of all the Machine Learning Data Catalogs reviews.
According to customer reviews, most common company size for machine learning data catalogs customers is 1,001+ employees. Customers with 1,001+ employees make up 45% of machine learning data catalogs customers. For an average Machine Learning solution, customers with 1,001+ employees make up 41% of total customers.
These scores are the average scores collected from customer reviews for all Machine Learning Data Catalogs. Machine Learning Data Catalogs is most positively evaluated in terms of "Overall" but falls behind in "Customer Service".
This category was searched on average for 304 times per month on search engines in 2022. This number has decreased to 110 in 2023. If we compare with other machine learning solutions, a typical solution was searched 623 times in 2022 and this decreased to 590 in 2023.