Some other design factors that will affect how a database performs: For databases specifically, CAP theorem is a good introduction to some of the possible trade-offs made to tune performance.įor example, in the early days of NoSQL databases, there was a lot of hype around their scalability, but the trade-off generally involved sacrificing data consistency guarantees provided by standard relational databases. Like all things computer science, it comes down to trade-offs that allow performance to be optimized for specific use cases. When it comes down to database performance, there’s nothing magical that makes one perform better than another. What Makes Databases Perform Differently? The following are some of the main database models that are gaining adoption with developers: This chart shows that over the past two years relational databases have been losing a bit of ground to several different types of database models. However, if we look at recent trends, the ranking tells a slightly different story. a general-purpose databaseīefore diving into things, let’s look at a snapshot of the current database ecosystem and the market share of various types of databases:Īs you can see, relational databases are still the most used type of database despite all the hype around NoSQL databases. When to use a specialized database vs.What actually makes different types of databases perform differently from a technical perspective.An overview of the database ecosystem in 2023.The database landscape has been changing rapidly in the past few years, so this article will try to simplify things for you by going over the following topics: They are also hard to migrate from once being used in production, so making the right choice for your application’s database is crucial.Ī big part of making the right decision is knowing what your options are. Databases are often the biggest performance bottleneck in an application.
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