In today’s high technical age, data is everything.
Data is used in various different ways by various different parties; you could use data to make an informed grocery purchase, while huge companies use data to make informed decisions on business-critical issues. Countless jobs and disciplines have also been created in the pursuit of better treating, analyzing, and storing data.
Everyday, we generate roughly 2.5 quintillion bytes of data, so far. The need for reliable storage sources has become more and more pressing as each day passes. Storage devices are becoming more advanced, storage methods are becoming more and more precise, and companies are dumping billions of dollars every year into refining their storage options. While many storage practices exist, two have risen to prominence amongst cloud users: block storage and object storage.
To understand where this debate stems, you’ll have to understand the tech that drives it.
Block storage involves taking data and cutting it into equally-sized blocks, with these blocks being stored in physical storage that allows for quick extraction once needed. During the blocking process, high level metadata information is not maintained, though a unique identifier is supplied to each block in the creation process.
Block storage provides a direct pipeline to data, making it the ideal storage solution for applications that need fast and strong data access- just one of the many benefits of block storage.
Known for its ability to quickly access data, block storage provides a ton of benefits to developers in search of something mobile and agile. Such benefits include:
While the benefits of block storage are certainly undeniable, the use of block storage creates disadvantages and cons that can’t be overlooked, such as:
These cons are dependent on your personal block storage usage, with the storage method actually being enhanced by your usage and with the benefits quickly outweighing the cons in the long run.
Because of block storage’s unique take on data storing and accessing, the tech flourishes in applications that leverage transactional data and are considered critical to a business’ operation. Some popular use cases for block storage include:
With the ability to flourish under high-stress, business-critical workloads, block storage and the machines behind it are certainly the go-to storage method for many developers around the world. Despite some limitations regarding the cost and metadata usage, block storage provides users an in-depth look into efficient data access and migration.
Object storage takes a similar approach to data storage- primarily geared towards storing unstructured data, object based storage sees data stored into objects and further stored into a flat data structure known as buckets. Unlike block storage systems, object storage preserves vital metadata and unique identifiers inside objects, allowing for easy data identification based on function and form.
Because of its use of metadata and adeptness towards bigger data sets, object storage is ideal when working with large bodies of unstructured data.
Being the primary storage choice of titans such as Amazon, Google, and Microsoft, object storage certainly provides its users with unparalleled data interaction benefits. Some benefits of the storage method include:
While object storage flourishes where many data tech fails, it’s shown that object storage does have some flaws. Some cons of this technology are:
With its roots grounded in providing unlimited scaling, better data resilience, and the much needed support that unstructured data has been clamoring for, object storage uses are plentiful. Some of the most popular use cases for this technology include:
Object storage solutions provide a unique take on data storage and cloud storage. By condensing data into individual units called objects, object storage is able to shave off IT costs while providing limitless scaling opportunities- giving developers working with data analytics or machine learning a go-to storage option. While object storage manages data in a way that’s effective towards the scale of a project, its ability to quickly pull data and modify its data causes some pitfalls within the nearly bulletproof technology.
One solution tackles mission-critical data head on by creating an efficient data access system, removing metadata in the process. Another provides unlimited scaling capabilities, giving developers the ability to innovate endlessly, though at the expense of slow modifications. Whether object storage or block storage is the best solution depends on your personal usage.
For one, object storage provides unparalleled utility towards unstructured data and breaking down metadata, something that block storage falters with. On the other hand, block storage provides precise, high performance value best suited for structured databases, with its speed and efficiency blowing past those posed by object storage solutions.
Whether your solution calls for the high performance of block storage, or the scalability and utility of object storage, just know that Lyrid provides a unique take on object storage.
Our object storage solution uses the traditional object format, but includes a content delivery network (CDN) to access data files faster and more cost effectively. Along with the unlimited storage scaling and affordability comes faster page loads, improved solution performance, and infrastructure and bandwidth cost savings. Backup databases and production-ready databases are also available at your fingertips- all without the need of dedicated servers or virtual machines.
To learn more about Lyrid’s object storage solution, visit our webpage, or book a meeting with our product specialist for a product tour!
99 South Almaden Blvd. Suite 600
San Jose, CA
Jl. Pluit Indah 168B-G, Pluit Penjaringan,
Jakarta Utara, DKI Jakarta