MayaScaleZettaLane Systems
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NetApp MetroClusterNetApp
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Related Products
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About
Build powerful NVMe over Fabrics high-performance shared storage solution with MayaScale. Consolidate direct attached NVMe resources into shared storage pool and provision flexible NVMe namespaces to clients demanding high performance with low latency. When finished the clients can return NVMe storage space back to storage pool. No more over-provisioning or stranded NVMe storage space as is the case with Direct Attached storage. This network agnostic solution uses RDMA for on-premises and standard TCP on cloud. True NVMe device is visible to client using standard NVMe driver stack without need for any proprietary driver extensions. Configure and deploy NVMe over Fabrics SAN infrastructure at rack scale in your data center by pooling heterogeneous NVMe devices over RDMA capable interconnect. This includes ROCE, iWARP or Infiniband. Even on public Cloud, experience NVMe over Fabrics using the standard TCP/IP protocol without need for any specialized RDMA hardware or SRIOV virtualization.
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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
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 looking for a solution to build NVMe and consolidate direct attached NVMe resources into a shared storage pool
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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
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
No information available.
Free Version
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Free Trial
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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
Supported
Live Online
Not Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationZettaLane Systems
Founded: 2018
www.zettalane.com/maya-nvmeof-linux-rdma-tcp.html
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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
AWS Marketplace
Supported
Amazon
Supported
Amazon RDS
Supported
Google Cloud Platform
Supported
Microsoft Azure
Supported
MongoDB
Supported
MySQL Workbench
Supported
ONTAP
Not Supported
Oracle Cloud Infrastructure FastConnect
Supported
Red Hat CloudForms
Supported
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Integrations
AWS Marketplace
Not Supported
Amazon
Not Supported
Amazon RDS
Not Supported
Google Cloud Platform
Not Supported
Microsoft Azure
Not Supported
MongoDB
Not Supported
MySQL Workbench
Not Supported
ONTAP
Supported
Oracle Cloud Infrastructure FastConnect
Not Supported
Red Hat CloudForms
Not Supported
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