Autonomous AI JSON Database

Decimal Point Analytics Private (DPA) replaced a complex multiple-database architecture on Amazon Web Service (AWS) using MySQL and Mongo Atlas with a single converged Autonomous Oracle Database and Oracle Database API for Mongo DB.

The old architecture was a complex data-processing workflow that used a managed AWS RDS MySQL Database and MongoDB Atlas. After the switch to Autonomous Database the raw relational data is stored as is, and the data for end-user applications is retrieved as JSON in milliseconds using Oracle Database API for MongoDB.

With Autonomous AI JSON Database you can:

• Build JSON-centric applications with NoSQL-style document APIs (SODA and Oracle API for MongoDB). Take advantage of SQL, stored PL/SQL procedures, and low-code environments.
• Simplify operations, using automation driven by machine learning.
• Have rapid, multidocument ACID transactions, with optimized formats and high-performance infrastructure.
• Provide security by design, with always-on encryption and Oracle Data Vault, which ensures protection from both external and internal threats.
• Reduce total cost of ownership, with built-in features and automatic scaling to meet peak workloads when needed.

A performance comparison of document databases: Amazon Document DB, MongoDB, and Oracle Autonomous AI JSON Database.

"Wikibon recommends the evaluation and adoption of the Autonomous AI JSON Database as a foundation for future application development-centric environments using Oracle Databases."