You might not think there’s anything left to innovate after all that time, but database fragmentation is one of the fastest-developing verticals in the tech industry. Database fragmentationĭatabases have been around for over 50 years. Maybe that’s why it has been growing in popularity among blockchain companies looking to achieve scalability.
Recently this approach has received significant new innovative contributions that have advanced sharding beyond what was imaginable not so long ago (one such example is Distributed SQL which makes sharding easy to achieve and manage). Sharding database architecture might not sound as fancy or have all the bells and whistles of other solutions, but it is certainly effective and practical. Perhaps you’ve never heard of it, or you may have dismissed it too quickly as being a legacy solution unsuitable for modern challenges. How can we handle this incredible volume of traffic when it reaches the database cluster? With smartphones came apps that increased the amount of data we consume and produce to levels unconceivable just 15 years ago. This has put great stress on database clusters, as they need to handle larger and larger amounts of traffic, with some top websites and services receiving billions of visits every week. Smartphones have become increasingly necessary and ubiquitous. However, data tells an entirely different story today. Just 30 years ago, most data was stored on paper, magnetic tape, or some type of disk, and as we were producing and consuming smaller amounts of data on a per capita basis, we could still efficiently store, manage, and access it. Databases are now given an enviable amount of attention since they manage a company’s most important property: data.
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