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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.

What is NetApp MetroCluster?

NetApp MetroCluster configurations comprise two separate ONTAP clusters located in different geographic areas, working in tandem to ensure continuous data availability and protection of storage virtual machines (SVMs). Each cluster perpetually synchronizes its data aggregates with its counterpart, ensuring both sites retain identical data copies at all times. In the event of a site failure, administrators can swiftly engage the mirrored SVM on the site that is still operational, guaranteeing that data services remain uninterrupted. The MetroCluster setup supports both fabric-attached (FC) and IP-based cluster designs: the fabric-attached version employs FC transport for SyncMirror synchronization between the locations, while the MetroCluster IP variant operates over layer-2 stretched IP networks. Deployments of Stretch MetroCluster allow for extensive coverage across an entire campus, and with ONTAP versions 9.12.1 and 9.15.1, MetroCluster IP configurations can manage up to four nodes utilizing NVMe/FC or NVMe/TCP technologies. Additionally, front-end SAN protocols—including FC, FCoE, and iSCSI—are fully integrated within this architecture, which significantly enhances the overall adaptability of MetroCluster solutions. This versatile design caters to a wide range of enterprise requirements, making it a highly appealing choice for organizations aiming to refine their data management practices while ensuring comprehensive data protection and availability. Ultimately, the MetroCluster provides a robust framework that can evolve as business needs change, solidifying its role as a critical component in modern data infrastructure strategies.

Media

Media

Integrations Supported

Hadoop
ONTAP
Oracle Cloud Infrastructure

Integrations Supported

Hadoop
ONTAP
Oracle Cloud Infrastructure

API Availability

Has API

API Availability

Has API

Pricing Information

$0.1344 per hour
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/big-data/big-data-service/

Company Facts

Organization Name

NetApp

Date Founded

1992

Company Location

United States

Company Website

docs.netapp.com/us-en/ontap/concepts/mcc-config-concept.html

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

Categories and Features

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