Introduction To Redis Using Python.

In this article, we will learn about Redis. what is Redis, an overview of Redis and Benefits of Redis.

What is Redis?

Redis is an in-memory key-value pair database typically classified as a NoSQL database. Redis is commonly used for caching, transient data storage and as a holding area for data during analysis in Python applications. Redis is an implementation of the NoSQL database concept.


  • Redis is an open-source, NoSQL data store.
  • Redis stores keys against values in physical memory, which is also called Random Access Memory (RAM).
  • The purpose of a cache is to reduce the retrieval time of objects, as they are stored in the physical memory.
  • Redis supports various operations based on the types of data. For example, it supports bit operations on strings, radius queries on Geospatial indexes, and range queries on sorted sets.

Benefits of Redis

1) Performance

  • All Redis data resides in memory, which enables low latency and high throughput data access.
  • Unlike traditional databases, In-memory data stores don’t require a trip to disk, reducing engine latency to microseconds.
  • Because of this, in-memory data stores can support an order of magnitude more operations and faster response times.

2) Flexible data structures

Unlike other key-value data stores that offer limited data structures, Redis has a vast variety of data structures to meet your application needs. Redis data types include:

  • Strings – text or binary data up to 512MB in size
  • Lists – a collection of Strings in the order they were added
  • Sets – an unordered collection of strings with the ability to intersect, union, and diff other Set types
  • Sorted Sets – Sets ordered by a value
  • Hashes – a data structure for storing a list of fields and values
  • JSON – a nested, semi-structured object of named values supporting numbers, strings, Booleans, arrays, and other objects

3) High Availability

Redis has Built-in support for non-blocking, asynchronous, primary/replica replication, in order to ensure high-level data availability. We have discussed this already in our previous blogs.

If you are using Redis Cluster, scaling vertically is super efficient and very easy to manage.

4) In Memory Storage

Well, conventionally all the databases store and access the data from hard disks and SSDs, which are secondary memory. As we all know, primary memory is faster than secondary memory, as it can be accessed directly by the processor.

Now, since Redis stores its data on the primary memory, reading and writing are made faster than databases that store data on disks.

5) Advanced Data Structures

Redis stores its data in a key-value pair and has the ability to store the data using a variety of data structures like:

String, Lists, Sets, Sorted Sets, Hashes, Bit Arrays, HyperLogLogs, Streams

Redis Keys:

  • Keys are central to the Redis data model.
  • Everything that is stored on a Redis instance is stored against a key.
  • All the keys are of type binary-safe strings.
  • Keys can be spread across multiple Redis instances resulting in the formation of distributed key space.

To learn more about Redis, check the official documentation.

I hope you’ll get impressed by the features of Redis. So let’s start coding within the next blog. If you’ve got any questions regarding this blog, please let me know in the comments.

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