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Description
Develop a hybrid storage solution that seamlessly integrates with your current network-attached storage (NAS) and Azure Blob Storage. This on-premises caching appliance enhances data accessibility whether it resides in your datacenter, within Azure, or traversing a wide-area network (WAN). Comprising both software and hardware, the Microsoft Azure FXT Edge Filer offers exceptional throughput and minimal latency, designed specifically for hybrid storage environments that cater to high-performance computing (HPC) applications. Utilizing a scale-out clustering approach, it enables non-disruptive performance scaling of NAS capabilities. You can connect up to 24 FXT nodes in each cluster, allowing for an impressive expansion to millions of IOPS and several hundred GB/s speeds. When performance and scalability are critical for file-based tasks, Azure FXT Edge Filer ensures that your data remains on the quickest route to processing units. Additionally, managing your data storage becomes straightforward with Azure FXT Edge Filer, enabling you to transfer legacy data to Azure Blob Storage for easy access with minimal latency. This solution allows for a balanced approach between on-premises and cloud storage, ensuring optimal efficiency in data management while adapting to evolving business needs. Furthermore, this hybrid model supports organizations in maximizing their existing infrastructure investments while leveraging the benefits of cloud technology.
Description
Global enterprises with high demands require efficient storage solutions that can provide optimal outcomes. The next-generation storage operating system, Maestro OS, is now available, offering essential protection for valuable enterprise data through comprehensive data services. Additionally, businesses are seeking cost-effective new storage options to meet their needs. The complexity of various enterprise workloads necessitates performance that transcends basic solutions. VIOLIN's Maestro OS excels in delivering this capability and much more. It features synchronous and WAN-optimized replication, as well as consistency groups designed for effective replication. Furthermore, it includes crash-consistent snapshots, consistency groups for those snapshots, transparent LUN mirroring, and seamless integration with backup applications. With the ability to scale up to 737.28 TB of raw storage, this system supports both online capacity expansion and LUN expansion without disruption. Begin your journey today by reaching out to our team of experts to evaluate your storage requirements. Experience how the QV-Series can be set up quickly in an online testing environment to meet your needs efficiently. Collaborating with the right professionals can help you significantly reduce your total cost of ownership while enhancing your storage capabilities.
API Access
Has API
API Access
Has API
Integrations
AMI Data Center Manager
AutoSys Workload Automation
Citrix Analytics
IBM Cloud
Microsoft 365
Oracle Cloud Infrastructure
P4
Rackspace OpenStack
SAP Cloud Platform
Splunk Cloud Platform
Integrations
AMI Data Center Manager
AutoSys Workload Automation
Citrix Analytics
IBM Cloud
Microsoft 365
Oracle Cloud Infrastructure
P4
Rackspace OpenStack
SAP Cloud Platform
Splunk Cloud Platform
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/fxt-edge-filer/
Vendor Details
Company Name
VIOLIN
Country
United States
Website
www.violinsystems.com/quartet/maestro/