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What is Red Hat Ceph Storage?
Red Hat® Ceph Storage serves as a dynamic and highly scalable storage option tailored for modern data operations. It has been specially crafted to cater to the needs of data analytics, artificial intelligence/machine learning (AI/ML), and other advanced applications, providing a software-defined storage solution that works seamlessly with various standard hardware configurations. Users have the capability to scale their storage to remarkable extents, supporting up to 1 billion objects or more while maintaining top-notch performance. The system is designed to allow for the effortless scaling of storage clusters both upwards and downwards, ensuring that operations continue smoothly without any interruptions. This remarkable flexibility grants businesses the agility they need to speed up their time to market significantly. The installation process is greatly streamlined, which leads to faster setup and deployment times. Moreover, the platform enhances the ability to derive quick insights from extensive unstructured data, aided by advanced operational, monitoring, and capacity management tools. To safeguard data against external threats and hardware failures, it incorporates robust data protection and security measures, including encryption at both the client-side and object levels. Additionally, backup and recovery management is simplified through a centralized administration point, which promotes efficient data management and boosts operational productivity. This combination of features positions Red Hat Ceph Storage as a premier choice for organizations aiming to harness scalable and trustworthy storage solutions, ultimately driving their success in a competitive environment.
What is Oracle Big Data Service?
Oracle Big Data Service makes it easy for customers to deploy Hadoop clusters by providing a variety of virtual machine configurations, from single OCPUs to dedicated bare metal options. Users have the choice between high-performance NVMe storage and more economical block storage, along with the ability to scale their clusters according to their requirements. This service enables the rapid creation of Hadoop-based data lakes that can either enhance or supplement existing data warehouses, ensuring that data remains both accessible and well-managed. Users can efficiently query, visualize, and transform their data, facilitating data scientists in building machine learning models using an integrated notebook that accommodates R, Python, and SQL. Additionally, the platform supports the conversion of customer-managed Hadoop clusters into a fully-managed cloud service, which reduces management costs and enhances resource utilization, thereby streamlining operations for businesses of varying sizes. By leveraging this service, companies can dedicate more time to extracting valuable insights from their data rather than grappling with the intricacies of managing their clusters. This ultimately leads to more efficient data-driven decision-making processes.
Integrations Supported
CloudCasa
Hadoop
IBM Fusion
IBM Storage Suite for IBM Cloud Paks
InfluxDB
Migrateq
Netdata
Oracle Cloud Infrastructure
Red Hat AMQ
Telegraf
Integrations Supported
CloudCasa
Hadoop
IBM Fusion
IBM Storage Suite for IBM Cloud Paks
InfluxDB
Migrateq
Netdata
Oracle Cloud Infrastructure
Red Hat AMQ
Telegraf
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$0.1344 per hour
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
Red Hat
Date Founded
1993
Company Location
United States
Company Website
www.redhat.com/en/technologies/storage/ceph
Company Facts
Organization Name
Oracle
Date Founded
1977
Company Location
United States
Company Website
www.oracle.com/big-data/big-data-service/
Categories and Features
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
