![]() Potentially scales up to millions of files, but can’t handle moreĬustomizable metadata, not limited to number of tags Scales infinitely to petabytes and beyond ![]() Performs best for big content and high stream throughputĭata can be stored across multiple regionsĭata typically needs to be shared locally If you want a more straightforward side-by-side comparison, take a look at this table that compares object-based storage vs file storage: This makes it incredibly useful for doctors to pull up the relevant information for reference. The metadata could include patient name, date of birth, injury details, which area of the body was X-rayed – in addition to the same tags that the file had. An X-ray object, on the other hand, could have a rich variety of metadata information. An X-ray file would have limited metadata associated with it, such as created date, owner, location, and size. All of these features and advantages also extend to object storage in the cloud.įor a real-life example of why metadata makes a difference, we can look at X-rays. It might take a little longer to retrieve your car, but you don’t have to worry about wandering around looking for it. Your car will be stored somewhere, and when you need it, the valet will get the car for you. However, imagine that lot was a thousand times larger – it’d be harder to find your car, right?īecause object storage has customizable metadata and all the objects live on a flat address space, it’s similar to handing your keys over to a valet. When you pull your car into a small lot, you know exactly where your car is. In this case, you can think of object storage as valet parking while file storage is more like self-parking (yes, another analogy, but bear with me!). Once you start scaling, though, you may start wondering, “How am I going to find the file I need?” If you’re primarily retrieving smaller or individual files, then file storage shines with performance, especially with relatively low amounts of data. You can keep adding data infinitely – the sky’s the limit. Object storage, on the other hand, is like the warehouse, except with no roof. But as your data needs grow, you’ll fill up the warehouse to capacity before you know it. When you first put a box of files in there, it seems like you have plenty of space. To start, object storage overcomes many of the limitations that file storage faces. Now that you know the basics of both object-based storage and file storage, let’s look at some of the key differences separating the two.
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