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Difference between Block storage and Object storage

The difference between Block storage and Object storage are listed in the below table:

Features	Block storage	Object storage
Performance	Block storage has a powerful performance with transactional data and databases.	Object storage performs great for high flow throughput and big content.
Geography	The higher the distance among application and storage, the greater the latency.	Using Object storage, data can be saved within multiple regions.
Scalability	Addressing needs limits scalability.	Object storage can scale boundlessly to petabytes.
Analytics	No metadata	Object storage contains customizable metadata that can permits data to be efficiently retrieved and organized.
Data Storage	Block storage will take any file apart into individual data blocks. It stores the blocks like data’s separated pieces. All data’s pieces contain the distinct address. Hence it does not require being stored within any file structure.	Object storage will take data’s each piece and makes it as any object. Data will be stored in the isolated storehouses. It is bundled with related metadata and a specific identifier.
Transaction Units	Blocks	Object, i.e., files along with custom metadata.
The update’s supported type	In-place type of updates	No support for in-place update: update can make versions of the new object
Protocols	SATA, Fibre Channel, SCSI	SOAP and REST over HTTP
Suited for	Frequently modifying data and transactional data	Relatively cloud storage and static file data
Biggest strength	High Performance	Distributed access and scalability
Limitations	Difficult for extending across the data center	It suites for modifying transactional data frequently. It does not facilitate any sharing protocol along with the locking mechanism
Characteristics	High speed, Low latency, Redundancy, etc.	Resource optimization, reduced cost, faster data improvement, infinite scalability, and data analytics.

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