The best al­tern­at­ives to Redis

Redis is one of the fastest databases currently available. The solution is ideal if you need real-time responses. However, since it stores data directly in memory, it is not as suitable for large data volumes. Learn about the available Redis al­tern­at­ives below.

What is Redis and what al­tern­at­ives are there?

Speed is (almost) everything. For real-time ap­plic­a­tions needed in areas like gaming, e-commerce, or the Internet of Things, companies rely on databases that stand out for their minimal response times. One of the fastest and most popular database man­age­ment systems is Redis. The ‘REmote DIctionary Server’ was developed by Salvatore San­fil­ippo in 2009 and is freely available under the BSD open-source license. Redis is a user-friendly in-memory database. This means that data is stored in key-value pairs directly in memory, allowing response times of less than a mil­li­second. The system is non-re­la­tion­al and offers ho­ri­zont­al and vertical scaling options, ensuring it can grow with your needs.

Redis offers numerous benefits to users. It’s ex­cep­tion­ally fast, free in its basic version, and generally easy to use. However, it’s not the best fit for every scenario. When it comes to managing complex data struc­tures, Redis can quickly hit lim­it­a­tions. Since it operates as a key-value store, queries can only be made using keys. And while it does support various scaling options, in-memory storage can be both expensive and space-consuming. For handling large volumes of data, al­tern­at­ive solutions to Redis may be more suitable.

MongoDB, the most flexible Redis al­tern­at­ive

If an in-memory database poses chal­lenges for the reasons mentioned above, MongoDB could be one of the best al­tern­at­ives to Redis. This NoSQL solution is designed to handle large and diverse volumes of data, whether struc­tured, semi-struc­tured, or un­struc­tured. Data is stored as binary-encoded JSON documents, grouped into col­lec­tions. MongoDB supports nearly unlimited ho­ri­zont­al scalab­il­ity, making it well-suited for growing datasets. Instead of relying on a pro­pri­et­ary query language, it allows the use of object-specific methods in common pro­gram­ming languages. Thanks to a feature known as sharding, MongoDB dis­trib­utes data across multiple nodes, ensuring strong fault tolerance and high avail­ab­il­ity.

Learn about the detailed dif­fer­ences and sim­il­ar­it­ies between MongoDB and Redis in our Digital Guide.

The key ad­vant­ages of MongoDB

• In­fin­itely ho­ri­zont­ally scalable
• High flex­ib­il­ity
• High avail­ab­il­ity and fault tolerance through sharding
• Suitable for many data types
• User-friendly
• Enables data rep­lic­a­tion
• Com­pat­ible with numerous languages, platforms, and systems
• Very effective in com­bin­a­tion with Redis

Firebase, the de­vel­op­ment platform with a real-time database

If you’re not ready to give up the high speed of Redis entirely, Google provides a strong al­tern­at­ive. Firebase, part of Google’s product suite since 2014, is tech­nic­ally a com­pre­hens­ive de­vel­op­ment platform that includes 18 different services—some free, others paid. Among these is a robust cloud-hosted real-time database capable of syn­chron­ising data instantly across clients. Firebase is es­pe­cially well-suited for mobile apps and web ap­plic­a­tions. It’s tightly in­teg­rated into the Google ecosystem and leverages many of Google’s core services. De­velopers can start using Firebase for free, and the platform supports sharding, which enhances both fault tolerance and avail­ab­il­ity.

The key ad­vant­ages of Firebase

• Very fast read and write speeds
• Real-time syn­chron­isa­tion
• Ideal for mobile ap­plic­a­tions
• Close in­teg­ra­tion with Google and its various services
• Numerous solutions for all aspects of ap­plic­a­tion de­vel­op­ment
• Good cloud con­nectiv­ity
• Fast and strong support
• High avail­ab­il­ity and fault tolerance

MariaDB, classic SQL power meets modern flex­ib­il­ity

For users who value stability, SQL com­pat­ib­il­ity, and the trans­par­ency of open-source solutions, MariaDB is a strong contender. Ori­gin­ally created as a fork of MySQL, MariaDB has since developed into an in­de­pend­ent and high-per­form­ing database system known for its flex­ib­il­ity. It’s es­pe­cially well-suited for the long-term storage and analysis of struc­tured data. While not a tra­di­tion­al in-memory database like Redis, this re­la­tion­al database can serve as a solid Redis al­tern­at­ive with SQL cap­ab­il­it­ies. Thanks to features such as temporary tables, memory-optimised storage engines, and efficient indexing, MariaDB offers strong per­form­ance even for more demanding workloads. Its active community and steady stream of updates ensure that the system remains modern and reliable.

The key ad­vant­ages of MariaDB

• Open source with community-driven de­vel­op­ment
• Powerful with classic re­la­tion­al data models
• Wide range of storage engines, including for memory-intensive scenarios
• Com­pat­ib­il­ity with MySQL
• Good com­prom­ise between per­form­ance and data dur­ab­il­ity
• SQL standard support

DynamoDB, the managed database from Amazon

One of the most user-friendly Redis al­tern­at­ives comes from Amazon. DynamoDB has been part of Amazon Web Services (AWS) since 2012 and is provided as a fully managed service. This means you no longer need to perform upgrades, security settings, or necessary scaling yourself; instead, you con­tinu­ously have a system that is up-to-date. Scaling is unlimited and done according to your needs and billed ac­cord­ingly. DynamoDB is a server­less NoSQL database that impresses with high speeds. High data avail­ab­il­ity can also be ensured. Although the close in­teg­ra­tion with the AWS en­vir­on­ment isn’t helpful for every project, it can provide you with ad­vant­ages.

The key ad­vant­ages of DynamoDB

• Very user-friendly due to complete man­age­ment
• Always auto­mat­ic­ally up to date
• Very secure solution
• Strong in­teg­ra­tion into the AWS ecosystem
• High avail­ab­il­ity
• Pay as you go
• Limitless scalab­il­ity
• High read and write speed

Apache Cassandra, a free solution for large data volumes

Apache Cassandra is a column-based NoSQL database that offers a high degree of flex­ib­il­ity and is fully open source. The system is designed for unlimited ho­ri­zont­al and vertical scalab­il­ity and is built with fault tolerance in mind. To ensure con­tinu­ous data avail­ab­il­ity, it operates across multiple nodes sim­ul­tan­eously. Cassandra uses its own query language, CQL (Cassandra Query Language), which is inspired by SQL. It supports data rep­lic­a­tion and stores in­form­a­tion as key-value pairs. Thanks to its im­press­ive per­form­ance and re­li­ab­il­ity, Apache Cassandra is trusted by major companies and platforms such as Apple, Spotify, and X (formerly Twitter) for large-scale data storage.

The key ad­vant­ages of Apache Cassandra

• Open Source
• Maximally scalable
• CQL is similar to SQL
• High level of fault tolerance and avail­ab­il­ity
• Data rep­lic­a­tion is possible
• Suitable for numerous different data types
• High fault tolerance
• Fast write and read op­er­a­tions

MySQL, the re­la­tion­al Redis al­tern­at­ive

While NoSQL databases have become in­creas­ingly wide­spread, there are also strong Redis al­tern­at­ives in the re­la­tion­al database space. One of the most widely used table-based systems is MySQL, which relies on the popular SQL query language. Despite its re­la­tion­al nature, MySQL is known for its flex­ib­il­ity. It’s par­tic­u­larly well-suited if your goal is to store large volumes of struc­tured data in a secure and well-organised way. MySQL is fun­da­ment­ally open source, though Oracle also offers com­mer­cial editions with ad­di­tion­al features. Major platforms like Spotify and YouTube use MySQL, re­in­for­cing its repu­ta­tion as a reliable and secure database solution.

The key ad­vant­ages of MySQL

• Open source
• Designed for large datasets
• Very user-friendly and clear
• Supported by a large community
• Easily scalable
• Part of the LAMP stack (Linux, Apache, MySQL, and PHP)
• Query language SQL
• Allows com­bin­a­tion with NoSQL databases
• High avail­ab­il­ity and fault tolerance