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Ratings and Reviews 0 Ratings
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What is SUSE Enterprise Storage?
This technology offers a cohesive, infinitely scalable, and easily manageable storage solution specifically designed for modern data centers, transforming enterprise storage structures into powerful instruments that encourage innovation. SUSE Enterprise Storage emerges as a flexible, reliable, cost-efficient, and intelligent storage system. Constructed on the Ceph architecture, this cloud-native solution is engineered to accommodate a wide range of demanding workloads, from data archiving to high-performance computing (HPC) applications. It supports both x86 and Arm architectures and can be deployed on standard off-the-shelf hardware, allowing organizations to efficiently store and process data, which in turn enhances their competitive edge—optimizing business processes and yielding richer insights into customer behaviors to improve products and services. Additionally, SUSE Enterprise Storage is built to work with Kubernetes and integrates effortlessly with a variety of technologies, including ML/AI, EDGE, IoT, and embedded systems, positioning it as an all-encompassing option for enterprises preparing for the future. This multifaceted adaptability not only ensures that businesses can keep pace with technological innovations but also allows them to respond to their changing storage requirements in real-time, ultimately driving success in a fast-evolving market.
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
Azure Marketplace
Commvault Cloud
Hadoop
Kubernetes
Oracle Cloud Infrastructure
SEP Backup & Disaster Recovery Software
Sandfly Security
Veritas NetBackup
Integrations Supported
Azure Marketplace
Commvault Cloud
Hadoop
Kubernetes
Oracle Cloud Infrastructure
SEP Backup & Disaster Recovery Software
Sandfly Security
Veritas NetBackup
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
SUSE
Date Founded
1992
Company Location
Germany
Company Website
www.suse.com/products/suse-enterprise-storage/
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