Oracle Data Science vs. Oracle Machine Learning vs. Python vs. Scuba Comparison Chart

Machine learning uncovers hidden patterns and insights in enterprise data, generating new value for the business. Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists using reduced data movement, AutoML technology, and simplified deployment. Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Notebooks support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression. Data scientists gain integrated model deployment from the Oracle Machine Learning AutoML User Interface.

Self-service analytics at scale. Whether you’re a product manager, the head of a business unit, a chief experience officer, a data scientist, a business analyst, or an IT staffer - you’ll appreciate how simple Scuba makes it to access your data and immediately begin mining it for insights. Whether you’re trying to understand the behavior of your customers, your systems, your apps – or anything else associated with actions taken over time – Interana is the only analytics platform that lets you move beyond dashboards and static reports, to a mode where you and your team can interactively explore your data in real-time to see not just what is happening in your business, but why. With Scuba you're never waiting for your data. All of your data is always available, so you can ask questions as quickly as you can think of them. Scuba is designed for everyday business users, so there’s no need to code or know SQL.