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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 Google Cloud Bigtable?

Google Cloud Bigtable is a robust NoSQL data service that is fully managed and designed to scale efficiently, capable of managing extensive operational and analytical tasks. It offers impressive speed and performance, acting as a storage solution that can expand alongside your needs, accommodating data from a modest gigabyte to vast petabytes, all while maintaining low latency for applications as well as supporting high-throughput data analysis. You can effortlessly begin with a single cluster node and expand to hundreds of nodes to meet peak demand, and its replication features provide enhanced availability and workload isolation for applications that are live-serving. Additionally, this service is designed for ease of use, seamlessly integrating with major big data tools like Dataflow, Hadoop, and Dataproc, making it accessible for development teams who can quickly leverage its capabilities through support for the open-source HBase API standard. This combination of performance, scalability, and integration allows organizations to effectively manage their data across a range of applications.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Oracle Database
Oracle Database@AWS
Oracle Fusion Cloud ERP
Oracle PeopleSoft
SAP Cloud Platform
Salesforce

Integrations Supported

Apache Spark
Auris
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Managed Service for Apache Spark
Google VPC Service Controls
Infometry Google Connectors
JanusGraph
OpenTSDB
Privacera
TIMi
ThoughtSpot
YepCode

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
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

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/bigtable

Categories and Features

Database

Not specified

Categories and Features

Columnar Databases

Not specified

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Security
Database Conversion
Monitoring
NOSQL
Performance Analysis
Queries

Distributed Databases

Not specified

Key-Value Databases

Not specified

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

Time Series Databases

Not specified

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