What Is Redis & What Is It Used For? The In-Memory Database Explained!

One of the main differences between typical key-value databases, that store data as an aggregation of key-value pairs, and Redis is the latter’s ability to store and compile high-level types. The data types are basic and commonly used data structures such as maps, lists and sets. Redis is an open source in-memory data store that works really well as a cache or message broker, but it can also be used as a database when you don’t need all the features of a traditional database.

what is Redis used for

This allows Redis to support high performance chat rooms, real-time comment streams, social media feeds and server intercommunication. The Redis List data structure makes it easy to implement a lightweight queue. Lists offer atomic operations as well as blocking capabilities, making them suitable for a variety of applications that require a reliable message broker or a circular list. ; Remote Dictionary https://www.globalcloudteam.com/tech/redis/ Server) is an in-memory data structure store, used as a distributed, in-memory key–value database, cache and message broker, with optional durability. Redis supports different kinds of abstract data structures, such as strings, lists, maps, sets, sorted sets, HyperLogLogs, bitmaps, streams, and spatial indices. The project was developed and maintained by Salvatore Sanfilippo, starting in 2009.

Session storage​

To address this limitation, Redis offers clustering and sharding features that distribute data across multiple servers. However, it’s worth noting that configuring and managing these features can be intricate. One significant drawback is that Redis stores data exclusively in memory, making it susceptible to data loss in the event of a crash or shutdown. Redis use cases implies which type of scenario you can apply, implement, and integrate Redis to your environment and business applications. When speaking of use cases of using Redis, the most generic use case that comes to many is for caching data and for session store (i.e. web session). Redis has a lot of use cases that can be applied and useful for any situations especially that involves speed and scalability wise, it’s easy to manage either scaling up or scaling down.

what is Redis used for

This allows you to build highly available, scalable, and reliable applications on top of Redis. You can easily scale Redis up, down, in, and out to meet application demands. Redis Enterprise is the only true datastore built for hybrid and multicloud applications. Keeps the dataset in memory for fast access, but can also persist all writes to permanent storage to survive reboots and system failures. Cache is a temporary storage component area where the data is stored so that in future, Data can be served faster.

As a session store

You can also use Sorted Sets to handle time series data by using timestamps as the score. Redis employs a primary-replica architecture and supports asynchronous replication where data can be replicated to multiple replica servers. This provides improved read performance and faster recovery when the primary server experiences an outage.

To get started with these concepts, and to get some practice with Redis commands, check out Educative’s course Complete Guide to Redis. You will learn about the various commands that you can use to store different types of data structures in Redis. You will also become familiar with transactions, security, partitioning, and clustering. Redis is a key-value store, but it supports many types of data structures as values other than strings. The key in Redis is a binary-safe string, with a max size of 512 MB.

Concurrent Web Requests with Aiohttp: Get More Done in Less Time

Since Redis is synchronous and single-threaded, it does not fully utilize all the cores of a processor. This makes scaling more difficult or complicated to implement as several Redis instances must be deployed and started . Redis is also used to maintain and store the session of a user in an application. Twitter has its own data structures built on Redis , to further optimize the solution. Now, of course, if you follow only 2-3 users, getting their posts in reverse order and then merging them is not that heavy of a computation.

Because of this, it’s common for users with many expired keys to see fewer keys in the replicas. However, logically, the primary and replica will have the same content. As of version 4.0, Redis has started implementing threaded actions. For now this is limited to deleting objects in the background and blocking commands implemented via Redis modules. For subsequent releases, the plan is to make Redis more and more threaded.

Features of Redis

Redis persistence enables data to be saved to disk and restored when the Redis server starts up again, ensuring that data is not lost in the event of a crash or shutdown. Yes, a common design pattern involves taking very write-heavy small data in Redis , and big blobs of data into an SQL or eventually consistent on-disk database. https://www.globalcloudteam.com/ Similarly sometimes Redis is used in order to take in memory another copy of a subset of the same data stored in the on-disk database. This may look similar to caching, but actually is a more advanced model since normally the Redis dataset is updated together with the on-disk DB dataset, and not refreshed on cache misses.

  • The users need to create virtual teams from real players playing on the field, from the world of cricket, football, basketball, and other sports.
  • In these instances, one method to increase performance is to store and manipulate data in memory, which is physically closer to the application.
  • As of version 4.0, Redis has started implementing threaded actions.
  • Here is a quick comparison of Redis with other major databases and key-value stores.
  • You can have huge keys and values of objects as big as 512 MB, which means that Redis will support up to 1GB of data for a single entry.
  • This makes it easy to solve a variety of problems as we know which problem can be handled better by which data type.
  • Since Redis is lightning fast, it is mainly used for caching purposes.

With Redis, you write fewer lines of code to store, access, and use data in your applications. The difference is that developers who use Redis can use a simple command structure as opposed to the query languages of traditional databases. For example, you can use the Redis hash data structure to move data to a data store with only one line of code. A similar task on a data store with no hash data structures would require many lines of code to convert from one format to another.

A vibrant, open source database

To prevent data loss from happening there is a built-in persistence module which writes the in-memory state to dump files on the disk on given occasions. The dump files are loaded when the system is starting and once it’s up and running the data is available for manipulations. Let’s say that our app involves displaying items to users with some values sorted in varying ways. Redis uses master-slave (primary-replica) architecture, where data can be replicated to multiple replica servers. This boosts the read performance since requests can split among different servers.

what is Redis used for

Redis has a small memory footprint and it can be installed in Raspberry Pi to enable IoT-based applications. Redis has client APIs developed in all the popular languages such as C, Ruby, Java, JavaScript, and Python. Airtable is a user-friendly database solution for no-code developers with early-stage apps. When those apps outgrow Airtable, however, Backendless is a powerful, scalable alternative, and now you can easily import your data directly from Airtable into Backendless Database. Overall, data structures in Redis are an important aspect of the framework, as they provide the underlying foundation for efficient data management and manipulation. However, to maximize CPU usage you can start multiple instances of Redis in the same box and treat them as different servers.

Popular Redis use cases​

Lists are excellent for a number of applications that require a reliable message broker or a circular list since they provide atomic operations as well as blocking. Redis is a fast, in-memory data store that can be used to power live streaming use cases. Redis is an open source, in-memory, NoSQL key/value store that is primarily used as an application cache or quick-response database.

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