Top 7 Widely Used Data Science Platforms - Analytics India Magazine

Various organizations keep floating data science platforms to simplify machine learning workflows. Besides, due to fierce competition in the market, oftentimes platforms keep replacing one another as and when it brings new capabilities to improve organizations' productivity. Built by the founder of Apache Spark, Databricks provides a unified analytics platform that allows data scientists to manage end-to-end machine learning workflows. The one-size-fits-all platform not only enables practitioners to explore, visualize and build superior machine learning models, but also allows them to scale it quickly with the help of collaboration. The platforms support a wide range of languages, IDEs and notebooks.