Increase DBA productivity by 80% and reduce database testing time by 90%. Oracle Database and Oracle Enterprise Manager provide the most extensive self-management capabilities in the industry, ranging from zero-overhead instrumentation to integrated self-healing and full lifecycle management for Databases deployed anywhere: including on-premises, Exadata, Oracle Cloud, Exadata Cloud and third-party clouds. Oracle Enterprise Manager's Database Management capabilities include the following key features:
Oracle Enterprise Manager's industry-leading Database performance management capabilities are available in the Diagnostics Pack, Tuning Pack and Real Application TestingDatabase Options.
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Oracle Enterprise Manager's industry-leading Database lifecycle management capabilities are available in the Database Lifecycle Management Pack and Cloud Management Pack for Oracle Database.
Oracle database services and products offer customers cost-optimized and high-performance versions of Oracle Database, the world's leading converged, multi-model database management system, as well as in-memory, NoSQL and MySQL databases. Oracle Autonomous Database, available on premises via Oracle Cloud@Customer or in the Oracle Cloud Infrastructure, enables customers to simplify relational database environments and reduce management workloads.
Assess, detect, and prevent data security threats with Oracle database security solutions for encryption, key management, data masking, privileged user access controls, activity monitoring, and auditing. Reduce the risk of a data breach and simplify and accelerate compliance.
Make development and deployment of enterprise applications simpler with the most comprehensive database platform with both application and data services. Build SaaS apps with CI/CD, Multitenant database, Kubernetes, cloud native, and low-code technologies.
Enable globally distributed, linearly scalable, multi-model databases which meet data sovereignty requirements and support applications that require low latency and high availability. Oracle Sharding automatically places data on the desired shard, saving time and eliminating manual data preparation. Developers can treat a sharded database as a single logical database, simplifying application development.
Running Oracle Database on Exadata, the fastest platform for Oracle Database, enables customers to increase transaction rates, accelerate business analytic, and simplify IT management. Exadata is available in customer data centers and in the Oracle Cloud Infrastructure, enabling customers to achieve the highest levels of performance for customer-managed and Oracle Autonomous Database.
Oracle Base Database Service allows organizations to create and manage full-featured Oracle Database instances in Oracle Cloud Infrastructure (OCI). IT teams provision databases on virtual machines with block storage volumes providing cost-efficient cloud database services with a choice of Oracle Database editions.
Oracle Database@Azure lets organizations run workloads where they choose, modernize and innovate with Oracle and Azure services, and simplify cloud purchasing and management. Customers can combine Azure services of their choosing with Oracle Autonomous Database and Oracle Exadata Database Service, OCI services that are deeply integrated with and colocated in Azure data centers.
MySQL HeatWave is the only service that enables database admins and app developers to run OLTP and OLAP workloads directly from their MySQL database. This eliminates the need for complex, time-consuming, and expensive data movement and integration with a separate analytics database.
View, monitor, and obtain insights such as the inventory or the number of Oracle Databases across a database compartment or group. See status, alarms, CPU, and Storage usage. Fleet Summary enables monitoring of multiple Oracle Database services deployed across OCI compartments or Groups from a single screen.
Group databases by their purpose; for example, group by container databases (CDB's) and pluggable databases (PDB's) spanning compartments, then use bulk SQL operations to automate lifecycle operations.
A relational database is a type of database that stores and provides access to data points that are related to one another. Relational databases are based on the relational model, an intuitive, straightforward way of representing data in tables. In a relational database, each row in the table is a record with a unique ID called the key. The columns of the table hold attributes of the data, and each record usually has a value for each attribute, making it easy to establish the relationships among data points.
The distinction between logical and physical also applies to database operations, which are clearly defined actions that enable applications to manipulate the data and structures of the database. Logical operations allow an application to specify the content it needs, and physical operations determine how that data should be accessed and then carries out the task.
To ensure that data is always accurate and accessible, relational databases follow certain integrity rules. For example, an integrity rule can specify that duplicate rows are not allowed in a table in order to eliminate the potential for erroneous information entering the database.
In the early years of databases, every application stored data in its own unique structure. When developers wanted to build applications to use that data, they had to know a lot about the particular data structure to find the data they needed. These data structures were inefficient, hard to maintain, and hard to optimize for delivering good application performance. The relational database model was designed to solve the problem of multiple arbitrary data structures.
The relational data model provided a standard way of representing and querying data that could be used by any application. From the beginning, developers recognized that the chief strength of the relational database model was in its use of tables, which were an intuitive, efficient, and flexible way to store and access structured information.
Over time, another strength of the relational model emerged as developers began to use structured query language (SQL) to write and query data in a database. For many years, SQL has been widely used as the language for database queries. Based on relational algebra, SQL provides an internally consistent mathematical language that makes it easier to improve the performance of all database queries. In comparison, other approaches must define individual queries.
The simple yet powerful relational model is used by organizations of all types and sizes for a broad variety of information needs. Relational databases are used to track inventories, process ecommerce transactions, manage huge amounts of mission-critical customer information, and much more. A relational database can be considered for any information need in which data points relate to each other and must be managed in a secure, rules-based, consistent way.
The relational model is the best at maintaining data consistency across applications and database copies (called instances). For example, when a customer deposits money at an ATM and then looks at the account balance on a mobile phone, the customer expects to see that deposit reflected immediately in an updated account balance. Relational databases excel at this kind of data consistency, ensuring that multiple instances of a database have the same data all the time.
Conflicts can arise in a database when multiple users or applications attempt to change the same data at the same time. Locking and concurrency techniques reduce the potential for conflicts while maintaining the integrity of the data.
Locking prevents other users and applications from accessing data while it is being updated. In some databases, locking applies to the entire table, which creates a negative impact on application performance. Other databases, such as Oracle relational databases, apply locks at the record level, leaving the other records within the table available, helping ensure better application performance.
Concurrency manages the activity when multiple users or applications invoke queries at the same time on the same database. This capability provides the right access to users and applications according to policies defined for data control.
The software used to store, manage, query, and retrieve data stored in a relational database is called a relational database management system (RDBMS). The RDBMS provides an interface between users and applications and the database, as well as administrative functions for managing data storage, access, and performance.
Several factors can guide your decision when choosing among database types and relational database products. The RDBMS you choose will depend on your business needs. Ask yourself the following questions:
Autonomous technology frees up developers from the mundane tasks of managing the database. For instance, they no longer have to determine infrastructure requirements in advance. Instead, with a self-driving database, they can add storage and compute resources as needed to support database growth. With just a few steps, developers can easily create an autonomous relational database, accelerating the time for application development.
Oracle Database (commonly referred to as Oracle DBMS, Oracle Autonomous Database, or simply as Oracle) is a proprietary multi-model[4] database management system produced and marketed by Oracle Corporation.
It is a database commonly used for running online transaction processing (OLTP), data warehousing (DW) and mixed (OLTP & DW) database workloads. Oracle Database is available by several service providers on-prem, on-cloud, or as a hybrid cloud installation. It may be run on third party servers as well as on Oracle hardware (Exadata on-prem, on Oracle Cloud or at Cloud at Customer).[5]
In the market for relational databases, Oracle Database competes against commercial products such as IBM Db2 and Microsoft SQL Server. Oracle and IBM tend to battle for the mid-range database market on Unix and Linux platforms, while Microsoft dominates the mid-range database market on Microsoft Windows platforms. However, since they share many of the same customers, Oracle and IBM tend to support each other's products in many middleware and application categories (for example: WebSphere, PeopleSoft, and Siebel Systems CRM), and IBM's hardware divisions work closely[citation needed] with Oracle on performance-optimizing server-technologies (for example, Linux on IBM Z). Niche commercial competitors include Teradata (in data warehousing and business intelligence), Software AG's ADABAS, Sybase, and IBM's Informix, among many others. 006ab0faaa
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