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Description
NetApp MetroCluster setups consist of two geographically distinct, mirrored ONTAP clusters that function together to ensure ongoing data availability and SVM safeguarding. Each cluster continuously replicates its data aggregates to its counterpart, ensuring that both locations maintain identical copies of the data. In case one of the sites experiences a failure, administrators can quickly activate the mirrored SVM on the operational cluster, allowing for uninterrupted data service. The MetroCluster system accommodates both fabric-attached (FC) and IP-based cluster configurations: the fabric-attached MetroCluster utilizes FC transport for SyncMirror synchronization between sites, while MetroCluster IP operates over layer-2 stretched IP networks. Deployments of Stretch MetroCluster facilitate coverage across an entire campus, and with ONTAP versions 9.12.1 and 9.15.1, MetroCluster IP configurations can support up to four nodes using NVMe/FC or NVMe/TCP. Furthermore, it is important to note that front-end SAN protocols such as FC, FCoE, and iSCSI are fully supported within this architecture, enhancing the overall versatility of MetroCluster solutions. This flexible design accommodates various enterprise needs, making it an attractive option for organizations looking to optimize their data management strategies.
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.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0.1344 per hour
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
NetApp
Founded
1992
Country
United States
Website
docs.netapp.com/us-en/ontap/concepts/mcc-config-concept.html
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/big-data/big-data-service/
Product Features
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates