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Object Storage – Scalable, Efficient, Highly-Available
Object Storage is a searchable data storage architecture that manages data as objects, as opposed to file systems or block storage architectures. With Object Storage you can preserve, protect and analyze your unstructured data at web-scale.
eStruxture offers a multipurpose distributed object-based storage system based on Hitachi Content Platform, designed to support large-scale repositories of unstructured data. It enables users to store, share, sync, protect, preserve, analyze and retrieve unstructured content with a single storage platform.
Unlike traditional block storage systems, eStruxture Object Storage is better priced, more efficient, easier to use and capable of handling much more data.
For customers that need massive data storage scalability and for whom accessibility, durability and lower cost are high priorities, eStruxture Object Storage provides secure, resilient, cost-effective and redundant storage for any data type your applications produce or manage.
Common use cases include:
Document Store and File Sharing
Website Hosting
Big Data Analytics
Backup and Archiving
Digital Asset Management
Developer Driven Applications
Object Storage Benefits
No Ingress/Egress Fees
pricing includes ingress, egress, puts, gets, scans, retrievals, deletes
100% Data Sovereign
we are 100% Canadian
Massive Scalability
no storage provisioning needed: store as little or as much data as you need
Billed By GB Used
only pay for what you need
Amazon S3 Compatible
access via RESTful API
True Data Shredding Capabilities
define your own data retention periods and redundancy
Object Storage vs. Block Storage Comparison
OBJECT STORAGE | BLOCK STORAGE | |
Transaction Units | Objects (files with custom metadata) | Blocks |
Supported type of update | Updates create new object versions | In-place updates |
Protocols |
REST, SOAP over HTTP |
SCSI, Fibre Channel, SATA |
Metadata support | Supports custom metadata | Fixed system attributes |
Best use case | Relatively static data, cloud storage | Transactional data |
Advantages | Scalability and distributed access | High Performance |
Limitations | Not suitable for transactional data | Difficult to extend beyond the data center |