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What is Oracle Real Application Clusters (RAC)?

Oracle Real Application Clusters (RAC) is a unique and robust database architecture that provides exceptional availability and scalability for both read and write operations across a wide range of workloads, including OLTP, analytics, AI data, SaaS applications, JSON, batch processing, text, graph data, IoT, and in-memory tasks. It efficiently manages complex applications, such as those from SAP, Oracle Fusion Applications, and Salesforce, while ensuring outstanding performance. By employing a specialized fused cache shared among servers, Oracle RAC guarantees rapid local data access, resulting in low latency and high throughput for various data needs. The architecture's capability to parallelize workloads across multiple CPUs enhances overall throughput, and Oracle's advanced storage solutions allow for seamless online expansion of storage. Unlike traditional databases that depend on public cloud infrastructure, sharding, or read replicas to improve scalability, Oracle RAC distinguishes itself by delivering top-tier performance with minimal latency and maximum throughput right from the outset. Additionally, this architecture is crafted to adapt to the shifting requirements of contemporary applications, rendering it a forward-thinking solution for businesses aiming for longevity and efficiency in their database operations. Its design not only ensures reliability but also positions organizations to tackle future challenges in data management effectively.

What is IBM Z System Automation?

IBM Z System Automation is an application developed on the NetView platform that acts as a centralized hub for overseeing a vast range of system management activities. Its importance is highlighted by its provision of sophisticated automation solutions that are customized for the needs of enterprises. By adeptly monitoring, controlling, and automating an extensive array of system components, it addresses both hardware and software resources within the organization. This self-healing, policy-driven, and high-availability solution is specifically designed to enhance the performance and uptime of critical systems and applications. Furthermore, it significantly reduces the administrative and operational burden, diminishes the necessity for extensive customization and programming, and accelerates the time and costs associated with implementing automation, particularly in environments utilizing Parallel Sysplex and policy-driven automation. Additionally, its seamless integration with Geographically Dispersed Parallel Sysplex (GDPS) endows IBM Z System Automation with sophisticated disaster recovery capabilities, providing robust safeguards for IBM Z systems against potential disruptions. Overall, its diverse functionalities render it an essential asset for contemporary enterprises that depend on high availability and operational efficiency. In a rapidly evolving technological landscape, such tools are crucial for maintaining competitive advantage and ensuring uninterrupted business operations.

Media

Media

Integrations Supported

JSON
Amazon Web Services (AWS)
Ansible
Apache Kafka
IBM Z
Mattermost
Microsoft Teams
NoSQL
Oracle Database
Oracle Database@AWS
Oracle Fusion Cloud ERP
Oracle PeopleSoft
SAP Cloud Platform
SQL
Salesforce
Slack

Integrations Supported

JSON
Amazon Web Services (AWS)
Ansible
Apache Kafka
IBM Z
Mattermost
Microsoft Teams
NoSQL
Oracle Database
Oracle Database@AWS
Oracle Fusion Cloud ERP
Oracle PeopleSoft
SAP Cloud Platform
SQL
Salesforce
Slack

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/database/real-application-clusters/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/z-system-automation

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Categories and Features

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