Object storage, also known as object-based storage, is a strategy that manages and manipulates data storage as distinct units, called objects. These objects are kept in a single storehouse and are not ingrained in files inside other folders. Instead, object storage combines the pieces of data that make up a file, adds all its relevant metadata to that file, and attaches a custom identifier.
Object storage adds comprehensive metadata to the file, eliminating the tiered file structure used in file storage, and places everything into a flat address space, called a storage pool. This metadata is key to the success of object storage in that it provides deep analysis of the use and function of data in the storage pool.
Object storage vs. file storage vs. block storage
Object storage takes each piece of data and designates it as an object. Data is kept in separate storehouses versus files in folders and is bundled with associated metadata and a unique identifier to form a storage pool.
File storage stores data as a single piece of information in a folder to help organize it among other data. This is also called hierarchical storage, imitating the way that paper files are stored. When you need access to data, your computer system needs to know the path to find it.
Block storage takes a file apart into singular blocks of data and then stores these blocks as separate pieces of data. Each piece of data has a different address, so they don’t need to be stored in a file structure.
Benefits of object storage
Now that we’ve described what object storage is, what are its benefits?
- Greater data analytics. Object storage is driven by metadata, and with this level of classification for every piece of data, the opportunity for analysis is far greater.
- Infinite scalability. Keep adding data, forever. There’s no limit.
Faster data retrieval. Due to the categorization structure of object storage, and the lack of folder hierarchy, you can retrieve your data much faster.
- Reduction in cost. Due to the scale-out nature of object storage, it’s less costly to store all your data.
- Optimization of resources. Because object storage does not have a filing hierarchy, and the metadata is completely customizable, there are far fewer limitations than with file or block storage.
Object storage use cases
There are multiple use cases for object storage. For example, it can assist you in the following ways:
- Deliver rich media. Define workflows by leveraging industry-leading solutions for managing unstructured data. Reduce your costs for globally distributed rich media.
- Manage distributed content. Optimize the value of your data throughout its lifecycle and deliver competitive storage services.
- Embrace the Internet of Things (IoT). Manage machine-to-machine data efficiently, support artificial intelligence and analytics, and compress the cost and time of the design process.
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions, and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.