Apache Mesos

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Apache Mesos is an open-source project to manage computer clusters. It was developed at the University of California, Berkeley.

Top Competitors and Alternatives of Apache Mesos

The top three of Apache Mesos’s competitors in the Containerization category are Docker with 80.64%, Google Kubernetes Engine with 13.12%, CoreOS with 2.03% market share.

    Top Competitors and Alternatives of Apache Mesos

    The top three of Apache Mesos’s competitors in the Containerization category are Docker with 80.64%, Google Kubernetes Engine with 13.12%, CoreOS with 2.03% market share.

    Customers of Apache Mesos

    Around the world in 2023, over 628 companies have started using Apache Mesos as Containerization tool.

    Customers Employee Range City Region Country Social Links
    Oracle Corporation 10,000+ Austin Texas United States
    EPAM Systems, Inc. 10,000+ Newtown Pennsylvania United States
    Intel Corporation 10,000+ Santa Clara California United States
    Adobe, Inc. 10,000+ San Jose California United States
    LinkedIn 10,000+ Sunnyvale California United States
    Verizon Communications, Inc. 10,000+ New York City New York United States
    Thales SA 10,000+ Courbevoie Ile-de-france France
    Rakuten, Inc. 10,000+ Tokyo Tokyo Japan
    Hewlett-Packard Enterprise Company 10,000+ San Jose California United States
    GlobalLogic 10,000+ San Jose California United States

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    Apache Mesos Customers by Industry

    The three top industries that use Apache Mesos for Containerization are Machine Learning (52), Big Data (42), Artificial Intelligence (38).

    Apache Mesos Customers by Employee Size

    The majority of Apache Mesos’s customers for the containerization category fall in the company size of 10,000+ employees (143 companies), 100 - 249 employees (110 companies), 1,000 - 4,999 employees (92 companies).

    Apache Mesos Customers by Geography

    The top three geographies of Apache Mesos for containerization are the United States with 334(51.07%), United Kingdom with 38(5.81%), India with 35(5.35%) customers respectively.

    Employees of Apache Mesos

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    FAQ

    Find answers to the most often asked questions by users.

    Who are the top Apache Mesos competitors?

    Apache Mesos’s Top competitors in the containerization category are Docker, Google Kubernetes Engine, CoreOS. You can view a full list of Apache Mesos competitors here. 6sense uses advanced data mining and AI algorithms to track customers and competitors of Apache Mesos and 40,000 other technologies on the internet.You can also compare Apache Mesos and its feature with top competitors here : Apache Mesos vs Docker Apache Mesos vs Google Kubernetes Engine Apache Mesos vs CoreOS .

    What is Apache Mesos customer distribution based on company size?

    The majority of Apache Mesos’s customers for the containerization category fall in the company size of 10,000+ employees (143 companies), 100 - 249 employees (110 companies), 1,000 - 4,999 employees (92 companies). You can view a distribution chart of Apache Mesos customers by company size here.

    What is Apache Mesos market share in the containerization?

    Apache Mesos has market share of 1.15% in containerization market. Apache Mesos competes with 10 competitor tools in containerization category. The top alternatives for Apache Mesos containerization tool are Docker with 80.64%, Google Kubernetes Engine with 13.12%, CoreOS with 2.03% market share.

    What are the top industries that use Apache Mesos?

    Top industries that use Apache Mesos for containerization are Machine Learning (52), Big Data (42), Artificial Intelligence (38).

    What are the top countries that use Apache Mesos?

    Around the world in 2023, over 628 companies have started using Apache Mesos as containerization tool. Companies using Apache Mesos for containerization are majorly from United States with 334 customers. 51.07% of Apache Mesos customers are from the United States. Other top countries using Apache Mesos are United Kingdom and India with 38(5.81%) and 35(5.35%) customers respectively.

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