Oracle 23c New Features

Oracle Database 23c Features Overview

https://vinay4dba.blogspot.com/2024/08/oracle-23c-new-features.html
• JSON Relational Duality: Allows seamless integration of JSON and relational data.

JavaScript Stored Procedures: Expands database flexibility and capabilities.
Property Graph Analysis: Enhances support for property graph analysis on operational data.
Automated Handling of Distributed Microservices Transactions (Sagas): Simplifies transaction management across distributed microservices.
• Enhanced Automatic Materialized Views: Improves performance and efficiency in managing materialized views.
• Real-Time SQL Plan Management: Optimizes SQL execution plans in real-time.
True Cache: Improves data retrieval speeds.
• ML-Enhanced Prediction of Data Statistics: Optimizes SQL execution.
Native Replication of Database Shards: Improves replication capabilities for distributed databases.

JSON Relational Duality feature.

Oracle Database 23c's JSON Relational Duality Features

• Unified Data Model: Allows for seamless storage, querying, and manipulation of both JSON and relational data.
• Flexibility: Allows for the selection of the best data model for applications, enhancing performance for queries involving both data types.
• Simplified Development: Allows for familiar SQL syntax to work with JSON data, reducing the learning curve and simplifying the development process.
• Data Integrity: Ensures data integrity by defining constraints and relationships between JSON and relational data, maintaining consistency and reliability.

What are some common scenarios where this feature is beneficial?

https://vinay4dba.blogspot.com/2024/08/oracle-23c-new-features.html
Oracle Database 23c's JSON Relational Duality Features


Benefits Hybrid Applications: Suitable for e-commerce platforms handling both structured and semi-structured data.
Enhances Microservices Architectures: Facilitates seamless data exchange and integration between services using JSON and relational databases.
Simplifies Data Integration and ETL Processes: Facilitates merging and querying of data from various sources.
• Enhances API Development: Provides efficient storage and querying of JSON data in backend systems.
Enhances Content Management Systems (CMS): Allows efficient querying and manipulation of content in JSON format.
Enhances IoT Applications: Enables efficient storage and analysis of JSON data.
Enhances Real-Time Analytics: Allows complex queries and analyses on mixed data types.
Enhances Data Warehousing: Enhances flexibility and performance in data warehousing.

 

 

 

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