Autonomous JSON Database
Oracle Autonomous Database - Blogs
DPA overcomes project complexity, improves performance with Autonomous Database (5 min. read)
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.
InfStones and Autonomous JSON Database (10 min. read)
Why Customers choose Oracle Autonomous JSON Database over MongoDB Atlas
With Autonomous 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.
JSON AJD Database use with WebLogic Server (Stephen Felts)
Oracle Autonomous JSON Takes on Document DBs (Wikibon)
A performance comparison of document databases: Amazon Document DB, MongoDB, and Oracle Autonomous JSON Database.
"Wikibon recommends the evaluation and adoption of the Autonomous JSON Database as a foundation for future application development-centric environments using Oracle Databases."