Some would say that the cloud computing model of service based software application delivery and storage has proved quite popular. Some would say that this is an understatement and that with the advent of cloud we can free ourselves from all the previous shackles that come with expensive on-premises data storage hardware cycles.
The problem with storage is that it’s too easy to put an N into it and call it snorage.
But storage is sexy (or at least dynamic and interesting as a business-enabling technology element) if we accept that we have had a storage problem up until cloud. CEO of StorReduce Vanessa Wilson contends that for years now enterprise data has been locked into costly terrestrial non-cloud based hardware cycles.
This (old) data storage is not good because it is:
- stored on different media,
- stored on different equipment made by vendors,
- stored under different processes
- stored under different APIs
In this dystopian world, data is trapped in silos that are not available, scalable or able to deliver maximum business value. The incredible growth rate of unstructured data compounds this problem.
“Many companies on cloud and those with on-premises silos are at a critical point and need to work out a new way to ‘pool’ their storage, whilst making it cost-effective, scalable and open to new technologies that maximize the data’s value,” said Wilson.
She claims that StorReduce can solve these problems and the firm’s product is now available on Amazon Web Services’ (AWS) Marketplace. This is said to be the first cloud native, on-cloud, on-demand global inline deduplication software for unstructured data stored in an object store, like Amazon Simple Storage Service (Amazon S3) and OpenStack Swift.
The company says that its technology proposition reduces public cloud storage costs and/or the infrastructure required to set up a private cloud typically by 50-95% for: backups, archives, data from mobiles, social media and other big data where there is copying of the data and general unstructured file data.
StorReduce has cloud-native Amazon S3 and SWIFT interfaces, and therefore any data it migrates or deduplicates is stored in an on-cloud data lake, which can be natively accessed by any cloud service, such as Search, Hadoop or Amazon Elastic MapReduce (EMR) for data mining and more, to maximize the data’s business value.
“Developers can write code that talks to StorReduce using our S3 API, and their software will transparently work with any of the cloud storage options that StorReduce supports. You don’t need to write your software twice, for two different clouds”, said Hugh Emberson, CTO of StorReduce. “Our implementation of the S3 API supports advanced features that are essential for people writing scalable enterprise-class applications, like multi-part uploads, digital signatures and policy-based access control.”
Ask your father, before the cloud people actually thought tape drives were cool. Free Image: Wikimedia Commons
Emberson says that StorReduce’s fast throughput breaks new ground and enables much larger volumes of data (petabytes) to be migrated to cloud, reducing migration time. StorReduce says it is looking to resolve the increasingly problematic issue around siloed and distributed data. The company’s vision is for its software to enable an enterprise to have a single cloud data lake with no data silos.
This article was originally published on forbes.com