REDIS - build your fastest cache system ever

Repository:

https://github.com/antirez/redis

REDIS stands for Remote Dictionary Index Server.

REDIS is an open source NoSQL , in-memory & key-value database system that has supports for different data structures which includes strings, lists, maps, sets, sorted set, bitmaps, streams and spatial indexes.

To better understand what REDIS means, I’ve deemed it fit to explain some key terms that represents what REDIS is all about. These terms are as follows.

• Dictionary
• Index
• No-SQL
• In-memory
• Key-Value

DICTIONARY

Data Dictionary could almost stand in as another name for comprehensive data objects.

Dictionaries are at the highest levels of comprehensiveness in comparison with other the unitary data system like arrays and objects. It is almost trying to mock the comprehensiveness of a linguistic dictionary.

To better understand what a dictionary is, here is a proper succinct definition for it.

A Data dictionary is a modeled store of data elements with detailed description of its format, relationships, meaning, source and usage.

Below is an example of what a dictionary should look like structurally:

INDEXING:

This is pretty simple to explain. Imagine all those big books we read in high school or college that has indices at the back to locate certain positions of words or topics in the book. That is exactly what an index does in a data storage system, it helps you keep track of the particular location of a data item in the whole data body.

If I was looking for the word “pretty” in the last paragraph we just read, I would index each word there by separating them by spaces. If I do that , the word “pretty” will fall in the 3rd position and have an index of 3 provided I start counting from 1, meaning “This” will have an index of 1, “is” will have an index of 2 and “pretty” will have an index of 3 and so on. Although, in most programming languages, data indexing starts from zero by default unless you try to re-manipulate the data , which is not always necessary.

Summarily, Indexing is just a way of tagging data for easily retrieval.

In –Memory:

This is the easiest part to describe, yet the most important. This simply means that, unlike other databases where data is stored on the disk, REDIS data is stored and retrieved on the RAM, although, for the purpose of data persistence, the data gets backed up on disks or a log file.

NoSQL

This is used to refer to databases that are not relational in structure. Most databases like oracle and mysql have a sort of tabular structure to it that makes retrieval and storage of data being tied to a SQL structure.

Unlike this Relational Database Management Systems, NoSQL databases have a flexible modeling structure. NoSql is more about flexibility in retrieval and storage, rather than being tied to a structure.

KEY-VALUE

This further refers to the fact that for every data stored on REDIS ,a key is provided, for such data to be retrieved , the key used in storing it has to be provided. Also, REDIS allows you to store data under a HASH field, meaning you can store more than one key: value data under a string name called a hash field.

Now, that I have made a detailed explanation of what each of this keyword means. You can go back to the introduction I gave and read. Then, you will have a more comprehensive understanding of what REDIS is all about.

Now, let’s get down to why you should or should not use a REDIS database.

Why You Should Use REDIS.

• FOR BUILDING CACHE SYSTEM:
  REDIS provides you with one of the best cache possibilities in terms of speed, all thanks to the RAM storage system. This allows you to retrieve data as blazing speed making, it the perfect place to store cache data.

• FOR SPEED-CENTRIC SYSTEMS
  If you want to trade it all for speed, REDIS is the go-to-guy. There are times when you need speed and nothing else. REDIS is the go to guy. Cases like this happen when building chat applications or robots where data needs to be stored and retrieved quickly.

• FOR SESSION STORAGE SYSTEMS
  In many programming language environment, sessions are stored on disks whereas they are better stored in a position of fast retrieval. This makes REDIS come handy here because it stores them in ram where it can be easily retrieved.

• FOR BUILDING A FAST COUNTING SYSTEM
  There are times where we need to process some data that needs to have its counts stored and retrieved frequently. REDIS comes in handy here, you don’t want your website speed reduced just because of a count data that would not load fast.

Why you should not use REDIS

• REDIS has a very slim support for windows. If your application is window based, installing REDIS on windows might not be an easy fit.

• You have to say bye - bye to all advantages of using an RDMS and the flexibility that SQL offers.

• REDIS security is not so robust. It only offers some basic security at instance level.

• REDIS does not favor scalability with one instance as it is single threaded while running only on a single core. You might need to run many instances of it to scale it.

• REDIS in-memory structure means that all your data must fit into the memory provided. This is a demerit because RAM is usually not as sufficient as a disk storage system.

Conclusion

As you can see, REDIS offers a lot of advantage and demerits as well. In case , you want to make a choice of an alternative. You can look into MongoDb, Memcached and PostGreSQL. All the same, I will save REDIS reigns supreme in terms of SPEED and DATA PERSISTENCE.

Official Links

Homepage: https://redis.io
Download lInk: https://redis.io/downloads
StackOverflow: https://stackoverflow.com/questions/tagged/redis/