Komprise and Microsoft Azure
Grow NAS Capacity while Cutting Costs
Komprise for Azure Use Cases:
|Data Analytics||Data Migration||Tagging, Search, Virtual Data Lakes||Data Lifecycle Management, Data Copy/Replication|
|3rd Party Cloud Filers (ex: Azure NetApp Files)|
Komprise helps us figure out how much cold data we have and tier it to Azure.
Dan Streufert, Medplast Group
Together, Komprise and Microsoft Azure enable your organization to:
Identify Data on Your NAS & Object That’s Best for Azure
Get a single view of how NAS & object data across vendor platforms is growing, being used, and which is hot vs. inactive, cold data. Identify what data can be moved, tiered / archived or replicated to Microsoft Azure.
See the ROI of Azure for Your Data
Explore setting different policies for the data you want to archive and/or replicate and to which tier of Microsoft Azure (Hot, Cool, Archive) and instantly visualize your projected savings.
Migrate Object Data into Azure
Migrate petabytes of data from any other NAS or object storage, simply and reliably with Komprise patented Elastic Data Migration. Get full data fidelity, reliably fast data transfer, and intelligent data migrations using analytics.
Right Data, Right Place Across Azure Files, Blob, 3rd Party NAS
Manage data across Azure Files, 3rd Party NAS in Azure and Azure Blob, so the right data is on the right tier at the right time.
Access Moved Data in Azure Blob or Tier / Archive as Files
When Komprise moves data into Microsoft Azure, it’s still accessible as files from your NAS and as files or objects in Azure, even on the cheaper tiers of Azure Blob or Azure Archive storage. Users and applications access moved data just like before.
Komprise moves your data into Azure in native format, so you can access objects and files directly on Azure using native Azure tools without any lock-in to any NAS or Komprise.
Install in Minutes—No Stubs or Agents
Komprise drops into your environment in 15 minutes – no agents, no stubs, no disruption, no infrastructure, no complexity or costs.
Start small and scale on-demand to handle petabytes and beyond by simply adding more virtual machines.