Oracle Database

Oracle Database is a proprietary, multi-model database management system developed by Oracle Corporation. It is a relational database that supports SQL for querying and managing data, with advanced features for high availability, security, and scalability. It is widely used in enterprise environments for mission-critical applications, data warehousing, and online transaction processing (OLTP).

Also known as: Oracle DB, Oracle RDBMS, Oracle, Oracle SQL, Oracle 19c

🧊Why learn Oracle Database?

Developers should learn Oracle Database when working in enterprise settings that require robust, scalable, and secure data management, such as financial services, healthcare, or large-scale e-commerce. It is essential for roles involving complex data modeling, performance tuning, or integration with Oracle-based systems, and its use is common in industries with strict compliance and reliability requirements.

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Oracle Database vs Postgresql→Oracle Database vs Microsoft Sql Server→Oracle Database vs Mysql→

Learning Resources

Oracle Database Documentation

Oracle Live SQL - Interactive Tutorials

Oracle Database Administration for Beginners on Udemy

Oracle Database Tutorial for Beginners on YouTube

Oracle Database 12c: The Complete Reference

Related Tools

Sql Pl Sql Oracle Apex Oracle Cloud Data Modeling

Alternatives to Oracle Database

Postgresql Microsoft Sql Server Mysql

Other Enterprise SQL

Always On Availability Groups

Always On Availability Groups is a high-availability and disaster recovery solution in Microsoft SQL Server that provides database-level failover for groups of databases. It allows multiple copies of a set of databases (availability replicas) to be maintained across different servers, ensuring data redundancy and automatic failover in case of primary server failure. This feature supports both synchronous and asynchronous data replication modes to balance performance and data protection needs.

Amazon Aurora is a fully managed, MySQL and PostgreSQL-compatible relational database service built for the cloud. It combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases, offering up to five times the throughput of standard MySQL and three times that of PostgreSQL. Aurora automatically handles tasks like hardware provisioning, database setup, patching, backups, and replication, while providing high durability and availability through distributed, fault-tolerant, self-healing storage.

Amazon Aurora Provisioned

Amazon Aurora Provisioned is a fully managed relational database service from AWS that offers high performance, scalability, and availability with MySQL and PostgreSQL compatibility. It uses a distributed, fault-tolerant storage system that automatically scales up to 128 TB per database instance, providing fast read replicas and continuous backup to Amazon S3. This provisioned model requires users to pre-allocate and pay for database instance capacity, making it suitable for predictable workloads.

Amazon Aurora Serverless

Amazon Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora, a MySQL and PostgreSQL-compatible relational database built for the cloud. It automatically starts up, shuts down, and scales capacity up or down based on application demand, eliminating the need to manage database instances. This serverless model is designed for applications with intermittent, unpredictable, or variable workloads.

Amazon Aurora Serverless

Amazon Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora, a MySQL and PostgreSQL-compatible relational database built for the cloud. It automatically starts up, shuts down, and scales capacity up or down based on application demand, eliminating the need to manage database instances. This serverless model is designed for applications with intermittent, unpredictable, or variable workloads.

Amazon DynamoDB

Amazon DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS) that offers fast and predictable performance with seamless scalability. It supports key-value and document data models, automatically replicates data across multiple Availability Zones for high availability and durability, and provides built-in security, backup, and in-memory caching capabilities.