NetApp MetroClusterNetApp
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Related Products
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About
IBM Analytics Engine provides an architecture for Hadoop clusters that decouples the compute and storage tiers. Instead of a permanent cluster formed of dual-purpose nodes, the Analytics Engine allows users to store data in an object storage layer such as IBM Cloud Object Storage and spins up clusters of computing notes when needed. Separating compute from storage helps to transform the flexibility, scalability and maintainability of big data analytics platforms. Build on an ODPi compliant stack with pioneering data science tools with the broader Apache Hadoop and Apache Spark ecosystem. Define clusters based on your application's requirements. Choose the appropriate software pack, version, and size of the cluster. Use as long as required and delete as soon as an application finishes jobs. Configure clusters with third-party analytics libraries and packages. Deploy workloads from IBM Cloud services like machine learning.
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About
NetApp MetroCluster configurations implement two physically separated, mirrored ONTAP clusters that operate in concert to deliver continuous data and SVM protection. Each cluster synchronously replicates its data aggregates to its partner to maintain identical copies mirrored across both sites. In the event of a site failure, administrators can activate the mirrored SVM on the surviving cluster and resume data serving seamlessly. MetroCluster supports both fabric-attached (FC) and IP-based cluster setups: fabric-attached MetroCluster uses FC transport for SyncMirror between sites, while MetroCluster IP leverages layer‑2 stretched IP networks. Stretch MetroCluster deployments enable campus-wide coverage, MetroCluster IP supports configurations up to four nodes with NVMe/FC or NVMe/TCP starting in ONTAP 9.12.1/9.15.1, and front-end SAN protocols like FC, FCoE, and iSCSI are all supported.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Enterprises in need of an architecture for Hadoop clusters to decouples the compute and storage tiers
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Audience
Enterprises and professionals looking for a solution to protect, replicate, and deliver their data
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$0.014 per hour
Free Version
Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationIBM
Founded: 1911
United States
www.ibm.com/cloud/analytics-engine
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Company InformationNetApp
Founded: 1992
United States
docs.netapp.com/us-en/ontap/concepts/mcc-config-concept.html
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Alternatives |
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Categories |
Categories |
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Integrations
Acquia CDP
Supported
Apache Spark
Supported
Galileo
Supported
Hadoop
Supported
IBM Cloud Object Storage
Supported
MINT
Supported
ONTAP
Not Supported
RadiantOne
Supported
Switch Automation
Supported
ZARUS
Supported
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Integrations
Acquia CDP
Not Supported
Apache Spark
Not Supported
Galileo
Not Supported
Hadoop
Not Supported
IBM Cloud Object Storage
Not Supported
MINT
Not Supported
ONTAP
Supported
RadiantOne
Not Supported
Switch Automation
Not Supported
ZARUS
Not Supported
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