Cloudera Data Platform vs. Cloudera Data Visualization vs. Cloudera DataFlow vs. Wing Python IDE Comparison Chart

Easily create rich, interactive dashboards that accelerate analytical insights across your enterprise. Cloudera Data Visualization enables data engineers, business analysts, and data scientists to quickly and easily explore data, collaborate, and share insights across the data lifecycle—from data ingest to data insights and beyond. Delivered natively as part of Cloudera, Data Visualization delivers a consistent and easy-to-use data visualization experience with intuitive and accessible drag-and-drop dashboards and custom application creation. Data Visualization is fully secured by SDX, enabling augmented data workflows across all your data and analytic workflows. Build predictive applications from ML models served in Cloudera Machine Learning, or leverage your data warehouse to power fast intelligent reporting without moving data or using third-party tools.

Wing Python IDE was designed from the ground up for Python, to bring you a more productive development experience. Type less and let Wing worry about the details. Get immediate feedback by writing your Python code interactively in the live runtime. Easily navigate code and documentation. Avoid common errors and find problems early with assistance from Wing's deep Python code analysis. Keep code clean with smart refactoring and code quality inspection. Debug any Python code. Inspect debug data and try out bug fixes interactively without restarting your app. Work locally or on a remote host, VM, or container. Wingware's 21 years of Python IDE experience bring you a more Pythonic development environment. Wing was designed from the ground up for Python, written in Python, and is extensible with Python. So you can be more productive.