DataTerminology.com

Navigation

Browse

Graph
Oracle Database

🛢️Oracle Database

NEW

Also known as: Oracle RDBMS, Oracle DB

Oracle Database is a multi-model enterprise RDBMS for transactional and analytical workloads across on-premises and cloud.

DESCRIPTION

Oracle Database is a converged, multi-model database management system that supports relational, JSON, XML, spatial, and graph data. It powers OLTP and analytics, with strong ACID guarantees, advanced indexing, and partitioning. Features like Real Application Clusters (RAC) and Data Guard support high availability and disaster recovery. PL/SQL enables server-side procedural logic. Oracle runs on Exadata engineered systems and major clouds, including Autonomous Database services. It is widely used for mission-critical workloads, ERP/CRM backends, and data warehousing. Licensing, performance tuning, and backup strategies are key operational considerations.

ALTERNATIVE DEFINITIONS

Wikipedia

Oracle Database (commonly referred to as Oracle DBMS or simply as Oracle) is a multi-model database management system produced and marketed by Oracle Corporation.

Highlights Oracle as a multi-model DBMS and identifies the vendor.

Source

Oracle

Oracle Database is a converged, multi-model database management system that supports relational, JSON, XML, spatial, and graph data.

Emphasizes ‘converged’ positioning and multi-model support beyond relational.

Source

Relational Database SQL PL/SQL Oracle RAC Oracle Exadata Data Warehouse Replication Partitioning Backup and Recovery ACID

COMPETING TERMS

Microsoft SQL Server IBM Db2 PostgreSQL

RELATIONS

KNOWLEDGE AREAS

Data Storage & Operations Data Engineering Data Architecture Platform & Tooling Cloud

TARGET AUDIENCE

Data Engineer Data Architect Cloud Architect BI Specialist Software Developer Chief Information Officer

EXTERNAL SOURCES

TOP QUESTIONS

Why is Oracle Database still relevant for enterprise systems?

It offers robust ACID transactions, mature tooling, high availability options like RAC/Data Guard, and broad ecosystem support. These capabilities make it dependable for mission‑critical workloads.

Category: Relevancy

What are common Oracle Database deployment options?

Organizations run Oracle on-premises, engineered systems like Exadata, or managed cloud services such as Oracle Autonomous Database on OCI and Oracle Database@Azure.

Category: Overview

How does Oracle RAC relate to Oracle Database?

Oracle Real Application Clusters allows a single database to run across multiple servers for scalability and high availability, sharing storage and coordinating cluster resources.

Category: Architecture

What is PL/SQL in Oracle Database?

PL/SQL is Oracle’s procedural extension for SQL that enables stored procedures, triggers, and packages, supporting complex business logic near the data for performance and maintainability.

Category: Concept

What licensing considerations exist for Oracle Database?

Licensing can be core- or user-based and may require options for features like partitioning or advanced security. Careful inventory and audits help avoid unexpected costs.

Category: Management

How does Oracle Database support multi-model data?

It natively handles JSON, XML, spatial, and graph data alongside relational tables, enabling diverse workloads and reducing the need for specialized databases.

Category: Capabilities

What is a competing technology to Oracle Database?

Microsoft SQL Server, IBM Db2, and PostgreSQL are common alternatives, chosen based on ecosystem fit, cost, and required features.

Category: Alternatives

How is performance typically tuned in Oracle Database?

DBAs use indexing, partitioning, statistics, SQL plan management, and resource controls. Tools like AWR/ASH and Automatic Database Diagnostic Monitor help identify bottlenecks.

Category: Best practices

How does Oracle Database handle disaster recovery?

Oracle Data Guard supports physical and logical standbys with fast failover and read-only offloading. It underpins robust DR architectures.

Category: Resilience