The Redis server has become one of the favorites of developers and startups. It is one of the few unique session storage systems that doubles up as a key-value in-memory data store. The Redis server employs state-of-the-art data caching technology in the form of the Redis cache and also supports disk storage for persistence. Apart from having transactions and executing pub/sub messaging paradigms, the Redis server can support multiple data types, including Strings, Lists, Hashes, Sets, Sorted sets, Streams, and the like.
As you can already comprehend from the provided information, the multitude of features makes the Redis server one of the best database caching systems. Undoubtedly, these features also place the Redis server at a position within the NoSQL ecosystem that is higher than simple data caching systems like Memcache and below those feature-heavy document database caching systems like CouchDB and MongoDB. But you might like to know what gives the Redis server its edge for which it is always preferred over other NoSQL databases. This article will definitely help you get some clarity and understand when to pick the Redis server over the other popular and traditional NoSQL systems.
We will be learning about all the premium features that make the Redis server one of the most desired NoSQL systems. It is also deployed for a multitude of use-cases that have massive real-time implications as well. But before that, let us lay our eyes on ACID.
ACID refers to Atomicity, Consistency, Isolation, and Durability. These are a set of characteristics of database transactions that ensure authentication in response to unprecedented situations like power failures and the occurrence of errors. In the context of database systems, a series or a sequence of database operations will be dubbed as a transaction if they satisfy the ACID properties.
Most of the famous and traditional NoSQL databases do not offer ACID compliance. Even if they do, they do so partially. The Redis server trades some of its durability for speed by default. The default synchronization command in the Redis server is set to every second, which implies that the highly advanced cache memory will be functional and will even back up data to the disk each second. This synchronization command is known as fsync(), and it is usually set to everysec.
But the superior features of the Redis server again exceed your expectations. It is not at all stringent, but this cutting-edge session storage system is highly configurable. Because of this, you can modify the number of times the Redis server backs up data using another command known as the appendfsync. The power of customizing the synchronization options extend beyond appendfsync as you can use the appendfsync always command as well. The latter will allow you to synchronize the data after the disk has been written or rewritten. You might think that it will cost you a lot of precious time, but I can assure you that the inherent cache memory and its superior database caching operations rid the Redis server of many latencies. It can still process user requests in the order of milliseconds. Yet, using the appendfsync always will indeed take away some of its lightning speed, but it will render the Redis server one of the safest to use.
Popular Redis use-cases:
- Database caching
- Access Logger
- High-scoring tables and leaderboards
- Who-is-online logic
- Live debugging
- Counting downloads
How does the Redis server end up being the most preferred NoSQL system every year?
In every production environment, the Redis server allows you the flexibility to implement a host of new features and characteristics that comes only with it. If your work environment deals with stable, relational, and predictable data, you should opt for a relational database. In contrast, if your fundamental operations deal with highly dynamic data, then you should go for a NoSQL database system.
● Upsides of the Redis server:
While the NoSQL database systems allow you to cut the downtime on schema changes that appear to be a big hassle in relational database systems, the Redis server can offer you more than just that. Its ACID compliance makes it one of the most lucrative systems that employ state-of-the-art data caching technology. A highly dynamic data that keeps on mutating and altering can cause real trouble for other NoSQL databases. The storage tends to expand very fast, and the adjustment of a schema to store them can be a big problem.
The Azure Redis cache functions as a distributed database caching, session storage, and a message brokerage system. As a result, the Redis server’s potential is the maximum when it comes to dealing with dynamic and ever-changing data. The feature-loaded Redis server has emerged as one of the best NoSQL databases and a sound choice for software developers, startups, and enterprises to trust with their eyes closed.