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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Oracle Big Data Service simplifies the deployment of Hadoop clusters for customers, offering a range of VM configurations from 1 OCPU up to dedicated bare metal setups. Users can select between high-performance NVMe storage or more budget-friendly block storage options, and have the flexibility to adjust the size of their clusters as needed. They can swiftly establish Hadoop-based data lakes that either complement or enhance existing data warehouses, ensuring that all data is both easily accessible and efficiently managed. Additionally, the platform allows for querying, visualizing, and transforming data, enabling data scientists to develop machine learning models through an integrated notebook that supports R, Python, and SQL. Furthermore, this service provides the capability to transition customer-managed Hadoop clusters into a fully-managed cloud solution, which lowers management expenses and optimizes resource use, ultimately streamlining operations for organizations of all sizes. By doing so, businesses can focus more on deriving insights from their data rather than on the complexities of cluster management.

Description

Red Hat® Ceph Storage is a flexible and highly scalable storage solution designed for contemporary data workflows. Specifically developed to support data analytics, artificial intelligence/machine learning (AI/ML), and other emerging applications, it offers software-defined storage compatible with a variety of standard hardware options. You can scale your storage to extraordinary levels, accommodating up to 1 billion objects or more without sacrificing performance quality. The system allows you to adjust storage clusters up or down seamlessly, ensuring there is no downtime during the process. This level of adaptability provides the agility necessary to accelerate your time to market. Installation is notably simplified, enabling quicker setup and deployment. Additionally, the platform facilitates rapid insights from vast quantities of unstructured data through enhanced operation, monitoring, and capacity management tools. To protect your data from external threats and hardware malfunctions, it comes equipped with comprehensive data protection and security features, including encryption at both the client-side and object levels. Managing backup and recovery processes is straightforward, thanks to a centralized point of control and administration, allowing for efficient data management and enhanced operational efficiency. This makes Red Hat Ceph Storage an ideal choice for organizations looking to leverage scalable and reliable storage solutions.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

CloudCasa
Hadoop
IBM Fusion
IBM Storage Suite for IBM Cloud Paks
InfluxDB
MasterDC
Migrateq
Netdata
Oracle Cloud Infrastructure
Red Hat AMQ
Telegraf
Veeam Kasten for Kubernetes
Virtalica StorageFabric

Integrations

CloudCasa
Hadoop
IBM Fusion
IBM Storage Suite for IBM Cloud Paks
InfluxDB
MasterDC
Migrateq
Netdata
Oracle Cloud Infrastructure
Red Hat AMQ
Telegraf
Veeam Kasten for Kubernetes
Virtalica StorageFabric

Pricing Details

$0.1344 per hour
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

www.oracle.com/big-data/big-data-service/

Vendor Details

Company Name

Red Hat

Founded

1993

Country

United States

Website

www.redhat.com/en/technologies/storage/ceph

Product Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

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