Zettar Inc. delivers a GA-grade, scale-out, petascale-proven, all-in-one hyperscale data distribution software solution capable of multi-100+Gbps. We help businesses defy data gravity and realize data agility. Modern IT is driven by the four giants: storage, computing, networking, and hyperscale data distribution. Zettar aims to be at the heart of the 4th giant. It is a critical enabler of large scale enterprise digital transformations.
Unlike all other commercial data transfer software, all of which belong to the legacy (decade+ old) Managed File Transfer (MFT) category, Zettar zx has a ground breaking design and establishes the brand new "hyperscale data distribution" category for modern digital businesses. Zettar is a US National Science Foundation (NSF) funded startup in Palo Alto, California.
Zettar zx is the world's only data transfer software whose performance is unaffected by distance, encryption, and checksumming. This is a Holy Grail that numerous parties, both academic and commercial, have tried hard to find for decades, but all have failed. The tremendous value to the business efficiency of all distributed data-intensive enterprises should be evident.
Zettar has deployed its solution at a large global biopharmaceutical company, a US DOE Exascale Computing Project (ECP) project, a hyperscale Web property, a well-known research university, and more. Many use cases involve the moving of multiple petabytes of data over distance.
Each end only employs a modest two-node cluster consisting of two inexpensive 1U commodity servers with 4x10Gbps unbonded Ethernet ports (thus 2 x 4 x10Gbps = 80Gbps - the bandwidth cap)
September 2018, with the same data transfer nodes as the 2017 trial, and the 4 AIC SB122A-PH 1U 10-bay storage servers updated with Intel E5-2699v4 CPUs along with 16 Intel Optane P4800X 375GB SSDs, Zettar transferred, with encryption and checksumming, one petabyte of data in just 29 hours over the same connection. The average transfer rate is 75Gbps, or 94% utilization of the available bandwidth.
The May 2017 trial results visualized
The September 2018 trial results visualized