![]() ![]() Database technologies have recently seen a faster development pace, which is arguably correlated with artificial intelligence, machine learning, blockchain, and cloud technologies picking up their pace of development.Īccording to DB-Engines, there are more than 350 database management systems-with many more that didn’t even make the list.Īccording to Carnegie Mellon University’s “ Database of Databases” there currently are 792 different noteworthy database management systems. Now try to imagine this happening for a business that has multiple applications, multiple divisions with their own applications, or worse, different vendors.Īs mentioned above, data has become one of the most important assets for any business. Redis) for content caching, a custom database such as a time-series database, and a data warehouse for analytics. A single application might include a relational database for storing and accessing content (e.g. Many modern applications end up being built on top of multiple, and often purpose-specific databases. The complexity that characterizes existing data infrastructures seems to be only getting worse. ![]() 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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