Redis vs. Memcached in 2023 - ByteScout
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Redis vs. Memcached in 2023

Redis and Memcached are modern, open-source data stores. They are both simple to apply and give an extraordinary execution. Yet, there are crucial exceptions to contemplate when picking an engine. Memcached is created for integrity while Redis gives a vibrant collection of characteristics that make it useful for an extensive variety of use cases. Let’s take a look at it in more detail.

  1. What is Memcached?
  2. What is Redis?
  3. Redis vs. Memcached
  4. Datatypes and Strings
  5. Architecture
  6. Pricing and Scalability
  7. Data Partitioning
  8. Replication
  9. Snapshots
  10. Performance
  11. TLS and Authentication
  12. Conclusion

What is Memcached?

Memcached is an open-source shared representation objective maintaining arrangement’. Similar to Redis, Memcached is an open-source alternative to put key-value combinations in memory, indicating that data is extremely swiftly obtained. It is also multithreaded, implying that there could be remarkable performance enhancements where the application can employ various cores.

What is Redis?

Redis is an open-source structure repository. It is utilized as a database, cache, and message agent.’ In other words, it is a method to collect key-value combinations, in a variety of complex data types such as Lists, Sets, and Hashes. Redis stores this information in memory, implying that it is remarkably quick to deliver the data when asked. This momentum makes it ideal as a cache for the application where users require to ask and exchange data and momentum is an important determinant.

Redis vs. Memcached

There are several important discrepancies between Redis and Memcached. These variations are quite particular around how Redis and Memcached manage the information they are caching, and how they can distribute it at scale.

Datatypes and Strings

When collecting data, Redis stocks data as special data types, whereas Memcached only collects and saves data as strings. As a result, Redis can modify data without possessing to re-upload the whole data value. This decreases network expenses. String: Strings are a fundamental asset to accumulating data. Redis strings are binary supported, which implies that strings can save a tiny image. String contents can be up to 512MB in size.

Memcached does not support data types. This is because it saves strings arranged by a series key. When matched to Redis, it utilizes small cost memory. Also, it is restricted by the quantity of memory of its device and, if reserved, it will begin to clear uses on a least lately adopted system. It utilizes an allocation device named Slab, which classifies the allotted memory into pieces of various sizes, and properties key-value data records of the identical size.


Redis and Memcached both support client-server architecture. Clients inhabit the data in the server in the order of key-value. The important thing to note here is that Redis is single-threaded. On the other hand, Memcached has a multithreaded structure. Memcached balances strongly on an arrangement with more extra cores that can manage more services if the count range is mounted. Yet, more than one Redis occurrence can be started on the corresponding arrangement to use added cores.

Pricing and Scalability

Redis is memory concentrated, clustering enables for parallel scalability, where weight is divided over various cases with more petite memory steps, rather than a particular case with a batch of memory. In a conventional server application case, to obtain more reliable administration from the application, users could improve the system support via upward scaling. At some time though the arrangement will be restricted by either availability to expand the capacity of the server or, the more probable situation, it is no longer value efficient to improve the computer resources.

The principal option to this is called parallel scaling, where servers with more petite resources are classified collectively in a group. The group will have the equivalent or more immeasurable performance as upward scaling at a more modest cost. Parallel scaling can be especially valuable for Redis, as memory is quite costly as the size gains.

Data Partitioning

Redis maintains the partitioning of data over various node occurrences. Redis users use various methods like array partitioning, hash partitioning, and logical hashing for data partitioning. In Redis, data partitioning can be performed in various methods. Memcached also carries data partitioning over various nodes, and logical hashing is a prescribed procedure to guarantee the traffic capacity is equally categorized.


Redis allows a single master-slave replication that produces accurate replicas of the master cases, with multiple features. The master keeps on transferring data requests to the slave as long as they are correlated. If the link crashes, the slave will obey incomplete resynchronization only mimicking the information that was booted during disconnection. If unfinished resynchronization is not feasible, then it will attempt a complete resynchronization.

On the other hand, local Memcached does not encourage replication, but users can utilize any available open-source application to manage high availability for the deployment. It allows various master replication, asynchronous information replication, and helps all Memcached requests.


Snapshots are also called a read-only view of the database. Redis maintains snapshots and stores snapshots of the dataset on record in a binary register named dump.rdb. Users can simply request a snapshot, or configure the incidence or variance gate for controlling the process. On the other hand, Memcached does not have this feature.


Performance measurement is just like a rational use than of any functional value – unless users are expanding operations in such order that this becomes fascinating as a cost-saving step. This is because such properties are IO connected and normally the system latency might create a more consequential part in application observed latency than the database latency.

A more efficient performance feature is storage performance – how much information can be collected in the corresponding volume of memory. Even here, the private data structures utilized by Redis differ based on the data size.

TLS and Authentication

Redis has primary TLS support beginning from Redis 6.0. More initial variants of Redis supported the application of tunnel for implementing TLS support. Memcached 1.5.13 and higher versions establish authentication and encryption by TLS. This characteristic is yet in preliminary steps.

In some old versions, Redis only carried a single password-based authentication. This password was saved in plaintext. Redis in version 6.0 onwards maintains a thoroughly recommended ACL. On the other hand, Memcached variants 1.4.3 and higher include SASL assistance. Earlier Memcached had no verification panel.


Redis and Memcached are both exceptional and have utilization in various fields. Redis being amplified later has multiple high-level functionalities and has comprehensive documentation. Yet, both are exceptional when used and configured properly.


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