OpenIO

Source: Wikipedia, the free encyclopedia.
OpenIO
IndustryInformation technology, Data storage, Data processing
Founded2015
Defunct2020
Headquarters

OpenIO offered

OVH[4] and withdrawn from the market to become the core technology of OVHcloud object storage offering.[5]

Software

OpenIO is a

HPC and AI.[7]

OpenIO stores objects within a flat structure within a massively distributed directory with

indirections, which allows the data query path to be independent of the number of nodes and the performance not to be affected by the growth of capacity. Servers are organized as a grid of nodes massively distributed, where each node takes part in directory and storage services, which ensures that there is no single point of failure and that new nodes are automatically discovered and immediately available without the need to rebalance data.[8]

The software is built on top of a technology that ensures optimal data placement based on real-time metrics and allows the addition or removal of storage devices with automatic performance and

erasure coding implementation based on Reed-Solomon that can be deployed in one data center or geo-distributed or stretched clusters.[11][12]

The software has a feature that catches all events that occur in the cluster and can pass them up in the

stack or to applications running on OpenIO nodes. This enables event-driven computing directly into the storage infrastructure.[13][14]

The open source code is available on Github and it is licensed under

LGPL3
for client code.

Performance

OpenIO claimed in 2019 to have reached 1.372 Tbps write speed (171 GB/s) on a cluster of 350 physical machines.

PB Hadoop datalake via the DistCp command.[16] This level of performance marked, according to analysts,[17] the arrival of a new generation of object storage
technologies oriented toward high performance and hyper-scalability.

See also

References

  1. ^ "OpenIO Object Storage Overview". OpenIO.
  2. ^ Nicholas, Philippe (2016-07-15). "The History Boys: Object storage... from the beginning". The Register.
  3. ^ Dillet, Romain (2017-10-24). "OpenIO raises $5 million to build your own Amazon S3 on any storage device". TechCrunch.
  4. ^ "With the acquisition of OpenIO, OVHcloud's ambition is to create the best Object Storage offer on the market". OVHcloud. 2020-07-22.
  5. ^ "Object Storage - OVHcloud". OVHcloud.
  6. ^ Mellor, Chris (2015-12-05). "Openio's objective is opening up object storage space". The Register.
  7. ^ "OpenIO | High Performance Object Storage for Big Data and AI". OpenIO.
  8. ^ "OpenIO Core Concepts". OpenIO Documentation.
  9. ^ "OpenIO Object Storage for Big Data". OpenIO.
  10. ^ "Why We Designed an Object Store with a Conscience". OpenIO Blog. 2017-07-18.
  11. ^ "OpenIO Data Management Features". OpenIO Documentation.
  12. ^ "OpenIO Storage Policies". OpenIO Documentation.
  13. ^ Delaporte, Guillaume (2017-05-17). "Simple Metadata Indexing through Grid for Apps". OpenIO Blog.
  14. ^ Delaporte, Guillaume (2017-06-07). "Detect patterns in pictures at scale using Tensorflow and OpenIO GridForApps". OpenIO Blog.
  15. ^ Mellor, Chris (2019-10-15). "OpenIO 'solves' the problem with object storage hyperscalability". Blocks & Files.
  16. ^ "Terabit Challenge | OpenIO Object Storage". OpenIO.
  17. ^ Enrico, Signoretti (2019-11-08). "S3, file access and high performance… this is not your old object storage". Gigaom.

External links

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