If you don’t need it in a production database, you can always not install it, leaving the SQL Server/Anaconda combination for your data science team’s development environment.Īzure will also get access to Anaconda, as part of its Azure Machine Learning platform. But with Anaconda a popular tool on data scientists’ desktops, it shouldn’t be too much of a stretch for users. SQL Server is one of its flagship enterprise products, so bringing in a set of tools that update on a very different schedule could be an issue for many of Microsoft’s corporate customers. Bringing interactive analytics tooling into the heart of a database is a sensible approach and Microsoft has already started to put its own analytic tools there.īut making that service dependent on an open source project that it doesn’t control is a big step forward for Microsoft. It’s also working with Anaconda to embed its data science tools inside SQL Server. Microsoft’s relationship with Anaconda is intended to go further than Anaconda using R Open and Visual Studio Code. That interactive nature of Visual Studio Code fits well with Python’s role in Anaconda. Microsoft has written an Anaconda package manager extension for Visual Studio Code, allowing direct download of packages from inside the editor.
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