This fall, Oracle continues to roll out features and preview updates for its'self-driving' Oracle Autonomous Database. The technologies debuted at last month's Oracle OpenWorld. Enhancements to Oracle Autonomous Database include smart indexing, easier rollbacks, better performance and ways to make machine learning accessible to non-expert users. Oracle Autonomous Database uses a machine learning to make data center operations self-driving, self-repairing, and self-securing, Jenny Tsai-Smith, VP of Oracle Database Product Management, told IDN. She makes a sharp distinction between automation and autonomous.

Microsoft Machine Learning Server is an enterprise server for hosting and managing parallel and distributed workloads of R and Python processes. Microsoft Machine Learning Server runs on Linux, Windows, Hadoop, and Apache Spark, and it is also available on HDInsight. It provides an execution engine for solutions built using RevoScaleR, revoscalepy, and MicrosoftML packages, and extends open-source R and Python with support for high-performance analytics, statistical analysis, machine learning, and massively large datasets. This functionality is provided through proprietary packages that install with the server. For development, you can use IDEs such as R Tools for Visual Studio and Python Tools for Visual Studio.