Fragmentation in the data science space reduces the productivity of data scientists and compromises their ability to share, collaborate and make their results reproducible. Frictions are partly due to the large diversity of tools and environments they use, to their complex dependencies and to the difficulty of interconnecting them. RosettaHUB is an innovative platform that significantly reduces those frictions and offers data scientists a streamlined experience in their day-to-day interaction with tools, infrastructures, data and peers. R, Python, Julia, SQL, Scala, Spark, ParaView etc. can be used simultaneously within RosettaHUB which acts as a one stop shop exposing web based and user friendly clouds management consoles, workbenches and notebooks. It offers a Google-docs like experience to data scientists and lets them use the different tools from anywhere and collaborate in real-time. It makes it possible to create and share resources on any infrastructure including EC2, GCE and private clouds. It keeps track of all interactions with the environment and allows the reproduction of all the created artifacts. Within RosettaHUB, R, Python, Julia, Spark etc. share the same workspace and operate in the same memory, they can call each other seamlessly, share all their variables and access advanced collaborative visualization functionalities and web spreadsheets, they can be used to create and share cross-language interactive and collaborative web applications and services. RosettaHUB is fully programmable and all its capabilities are accessible from R (RosettaHUB package), from Python (RosettaHUB module), from Excel and Word (RosettaHUB add-in), from Java, C# and Node.js (SDKs).