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Start-Up Profile: Datrium

Converged storage and compute in new way, Open Convergence, to simplify webscale and tier 1 private cloud infrastructure deployments.

Company
Datrium, Inc.

Location
HQ in Sunnyvale, CA, and 15 sales offices around the U.S. and Canada

Date founded
2012

Financial funding:
$110 million raised to date

  • early funding from VMware founders Mendel Rosenblum, Edouard Bugnion and Diane Greene, along with Data Domain founder Dr. Kai Li and ex-CEO Frank Slootman
  • $15 million in 2012
  • $40 million in 2013
  • $55 million oversubscribed Series C round closed in December 2016 led by New Enterprise Associates, Inc. with return investment by Lightspeed Venture Partners, as well as funding from a third, outside investor.

Founders and main executives
Datrium was founded by a combination of Diane Greene, co-founder VMware in 1998, together with CTOs and founders of Data Domain.

These include:

CEO Brian Biles was founder and VP of product management at EMC backup recovery systems division after being was founder, VP of product management and business development for Data Domain (acquired by EMC in 2009).

 

CTO Hugo Patterson was an EMC Fellow serving as CTO of the EMC backup recovery systems division, and the chief architect and CTO of Data Domain where he built the first deduplication storage system. Prior to that, he was the engineering lead at NetApp, developing SnapVault, the first snap-and-replicate disk-based backup product.
Co-founder Boris Weissman was a principal engineer at VMware focusing on core virtualization.
Co-founder Ganesh Venkitachalam was principal engineer at VMware working on the hypervisor after working at IBM on JVM/Linux performance.
Co-founder Sazzala Reddy was at Data Domain where he worked on building a distributed de-dupe file system and was the CTO of Data Domain after EMC‘s acquisition.

Number of employees
160

Technology
The Datrium DVX converges storage and compute in a new way, called Open Convergence, to simplify webscale and tier 1 private cloud infrastructure deployments. It separates on-host, software-driven IO services and performance (compute nodes) from an off-host durable data repository (data node), so speed and persistent capacity can each be provisioned incrementally. It also provides always-on de-dupe and compression, erasure-coded data protection, data management and encryption. This combination of capabilities enable VM administrators to accelerate, backup, copy and recover VMs across their data lifecycle.

Open Convergence
Open to any x86 server and provides convergence of I/O processing on servers.

DVX Rackscale systems combine DVX data nodes and from 1 to 32 DVX compute nodes for a solution that simplifies both primary storage and secondary data management. Mix and match with existing servers and blades for a seamless Open Converged system without silos.

Unlike hyperconverged infrastructure, DVX Rackscale systems offer automatic performance isolation, end-to-end security, and accommodate mix-and-match of DVX compute nodes with third party compute nodes running DVX Software. DVX Rackscale systems are available with end-to-end Datrium support which provides 24×7 call home and analytics capabilities.

Product description
Last April 4, Datrium introduces its Data Cloud software – a suite of scalable, secure cloud data management tools integrated with the DVX Open Convergence platform.

Data Cloud software includes:

  • Blanket Encryption (announced February 28, 2017) for end-to-end data security (in-use, in-flight and at-rest); 
  • Data Cloud Foundation which includes automated policy management, snapshots/clones and a VM backup catalog called Snapstore; and
  • Elastic Replication, a server powered, VM/File replication utility between DVXs supporting 1:N, N:1 and bidirectional topologies.

The company announced intention to support replication to Amazon Web Services based on Elastic Replication, for secure cloud-based archiving (March 2018).

The firm also announced DVX Rackscale systems, providing virtualization administrators systems to speed infrastructure deployment and simplify end-to-end support. The new Rackscale systems combine DVX data nodes with new DVX compute nodes, available with either 16 Core Intel Xeon E5-2620 v4 2.1GHz processors or 28 Core Intel Xeon E5-2680 v4 2.4GHz processors, and pre-configured with up to 768GB RAM, 8 SSDs and DVX Software.

Released date
April 4, 2017

Price range

  • Data Cloud Foundation which includes snapshots, Snapstore, Policy Groups policy templating and search, are available at no additional charge with any DVX system running DVX Software v2.0.
  • Elastic Replication and previously announced Blanket Encryption are available at no additional charge with any DVX system running DVX Software v2.0. Elastic Replication support for Secure Archiving to AWS is planned for release by March 2018.
  • DVX Rackscale systems are available, with U.S. list pricing starting at $118,000 and includes Datrium v2.0 software.

Partners
Microsoft, VMware, Dell, Rubrik, Unidesk, Veeam, Zerto

Distributors and OEMs
100 authorized partners across the U.S., Canada and Japan

Number of customers
100 deployments across 80 companies in banking, cloud hosting, health care, public sector, manufacturing, media and entertainment and technology firms have deployed Datrium in just over four full quarters of availability.

Customers
Include abacus group llc, bluelayer, Central Point, competitor group, Corona-Norco, CRW Engineering Group, LLC, edgeconnex, National Physicians Services, Neovera, North Bend Medical Center, Northrim Bank, Panda, Sensiba San Filippo, Sound Mental Health, Tec-Refresh, University of Maryland.

Applications

  • Virtual server consolidation (mixed workloads)
  • Virtualized SQL Server (transaction processing, data warehouse)
  • Virtual desktop consolidation
  • Sharepoint, Exchange, file consolidation

Target market
Converged infrastructure for private and hybrid clouds

Competitors

  • HCI: Nutanix, Dell EMC VxRail, VSAN and ScaleIO, HPE Simplivity, Cisco HyperFlex, etc.
  • Arrays: EMC, NetApp, HPE, Pure Storage, etc.
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