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features
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support

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Description

Create a robust NVMe over Fabrics high-performance shared storage solution with MayaScale that allows for the integration of directly attached NVMe resources into a unified storage pool. This solution enables the flexible provisioning of NVMe namespaces to clients who require high performance with minimal latency. After usage, clients have the option to return NVMe storage back to the shared pool, eliminating issues associated with over-provisioning or unutilized NVMe storage typical of direct-attached setups. The network-agnostic architecture employs RDMA for on-premises deployments and standard TCP for cloud environments, ensuring versatility. Clients can access true NVMe devices using a conventional NVMe driver stack, negating the need for any proprietary drivers. You can easily configure and implement NVMe over Fabrics SAN infrastructure at rack scale in your data center by aggregating diverse NVMe devices through RDMA-compatible connections, such as ROCE, iWARP, or Infiniband. Furthermore, even in public cloud settings, users can harness the benefits of NVMe over Fabrics via the standard TCP/IP protocol, which eliminates the requirement for specialized RDMA hardware or SRIOV virtualization. This innovative approach optimizes resource utilization while maintaining high performance across various deployment scenarios.

Description

Excelero offers a low-latency distributed block storage solution tailored for web-scale applications. With NVMesh, users can access shared NVMe technology over any network while maintaining compatibility with both local and distributed file systems. The platform includes a sophisticated management layer that abstracts the underlying hardware, supports CPU offload, and facilitates the creation of logical volumes with built-in redundancy, all while providing centralized management and monitoring capabilities. This allows applications to leverage the speed, throughput, and IOPS of local NVMe devices combined with the benefits of centralized storage, all without being tied to proprietary hardware, ultimately lowering the total cost of ownership for storage. Additionally, NVMesh's distributed block layer empowers unmodified applications to tap into pooled NVMe storage resources, achieving performance levels comparable to local access. Moreover, users can dynamically create arbitrary block volumes that can be accessed by any host equipped with the NVMesh block client, enhancing flexibility and scalability in storage deployments. This innovative approach not only optimizes resource utilization but also simplifies management across diverse infrastructures.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

MongoDB Yes 
AWS Marketplace Yes 
Amazon Yes 
Amazon RDS Yes 
Apache Spark No 
AutoSys Workload Automation No 
Google Cloud Platform Yes 
Kubernetes No 
LawCruit No 
Microsoft Azure Yes 
MySQL Workbench Yes 
NVIDIA DRIVE No 
Netdata No 
QxStor No 
Redis No 
SAP HANA No 
Samsung Pay No 
Splunk Cloud Platform No 
StarWind HyperConverged Appliance No 

Integrations

MongoDB Yes 
AWS Marketplace No 
Amazon No 
Amazon RDS No 
Apache Spark Yes 
AutoSys Workload Automation Yes 
Google Cloud Platform No 
Kubernetes Yes 
LawCruit Yes 
Microsoft Azure No 
MySQL Workbench No 
NVIDIA DRIVE Yes 
Netdata Yes 
QxStor Yes 
Redis Yes 
SAP HANA Yes 
Samsung Pay Yes 
Splunk Cloud Platform Yes 
StarWind HyperConverged Appliance Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

ZettaLane Systems

Founded

2018

Website

www.zettalane.com/maya-nvmeof-linux-rdma-tcp.html

Vendor Details

Company Name

Excelero

Founded

2014

Country

United States

Website

www.excelero.com/product/nvmesh/

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Product Features

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