Here’s the difference between FloSQL and Kubeflow. The comparison is based on pricing, deployment, business model, and other important factors.
FloSQL, makes scheduling and dependency management for SQL pipelines and data models easy to do and accessible to anyone with basic SQL skills saving 100s of hours of development time and costs. Its unique features make it easier to build out SQL models and even automatically define dependencies.
Kubeflow provides an open-source machine learning toolkit for Kubernetes. Enables users to train, deploy and manage a machine learning stack on Kubernetes. Is compatible with PyTorch, Apache MXNet, MPI, XGBoost, Chainer & more and can be integrated with Istio and Ambassador.