Discover Kubeflow Data Science and Machine Learning tool - Top alternatives, customer information and buyer intent data. Compare Kubeflow with the biggest competitors in the Data Science and Machine Learning market like Amazon Machine Learning Apache Spark etc.
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Kubeflow’s Top competitors in the data-science-and-machine-learning category are Amazon Machine Learning Apache Spark scikit-learn. You can view a full list of Kubeflow competitors . Slintel uses advanced data mining and AI algorithms to track customers and . of Kubeflow and 40,000 other technologies on the internet.You can also compare Kubeflow and its feature with top competitors here : .
Majority of Kubeflow’s customers for the data-science-and-machine-learning category fall in the company size of 51-200 employees (86 companies) 11-50 employees (84 companies) 10k+ employees (81 companies) . You can view a distribution chart of Kubeflow customers by company size .
Kubeflow has market share of 0.81% in data-science-and-machine-learning market. Kubeflow competes with 62 competitor tools in data-science-and-machine-learning category. Top alternatives for Kubeflow data-science-and-machine-learning tool are Amazon Machine Learning with 19.47% Apache Spark with 13.89% scikit-learn with 12.25% market share.
Top industries that use Kubeflow for data-science-and-machine-learning are Machine Learning (58) Artificial Intelligence (47) Big Data (37) .
Around the world in 2021, over 427 companies have started using Kubeflow as data-science-and-machine-learning tool. Companies using Kubeflow for data-science-and-machine-learning are majorly from United States with 199 customers. 48.66% of Kubeflow customers are from the United States. Other top countries using Kubeflow are United Kingdom Canada with 28(6.85%) 24(5.87%) customers respectively.