JavaScript vs. Oracle Machine Learning vs. TypeScript vs. ZevaCrypt 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.

Increase return on investment of existing PIV infrastructure for cross-agency encryption through ZevaCrypt™ intuitive and true end-to-end encryption solution. Email communication over secure channels has always been one of the most difficult-to-solve security challenges, especially those struggling to enforce the use of high assurance credentials such as PIV and CAC. Meanwhile, email is our primary form of communication for both sensitive and non-sensitive information. While encrypting within the same organization is simple, email encryption across organizational boundaries is challenging and often manual. Existing PKI encryption systems don’t ensure the required level of protection, and currently none of the encryption systems validate certificate policies the way they were designed to be used. In general, strong encryption must combine strong identity with strong cryptography. PKI encryption is the only means of achieving this intersection of goals.