Аналог redis для windows

Historically, developers searching for a supported Redis alternative for Windows had limited options. Currently, there is no official Windows build of Redis and most of the alternatives have several drawbacks such as the first options are not Windows native, the next options are not Redis(™) API compatible and the last options do not offer a robust Enterprise-grade commercial support. This means developers have been unable to fully integrate the most popular NoSQL data store into their Windows infrastructure and benefit from the performance and reliability offered by a native implementation.

Even the official Microsoft Open Tech port of Redis (which we helped to write) has been archived and is no longer supported. We think leaving Windows developers without a native solution sucks. And that’s why we decided to take the Redis source code and port it to run natively on Windows.

We call it Memurai.

Memurai, the Redis alternative for Windows

Memurai is a Redis 5-compatible cache and data store for Windows. It’s designed to provide the reliability and performance demanded by enterprise Windows environments. Just like Redis, Memurai uses an in-memory data set to achieve great performance at scale, and Memurai supports all the Redis features that you know and love, such as persistence, replication, transactions, LUA scripting, high-availability, pub/sub, cluster, modules, streams, and LRU eviction. In fact, Memurai supports all of the Redis API 5 eviction policies.

Out of all the Redis alternatives, Memurai is one of the strongest candidates since it runs natively on Windows, it integrates into your existing Windows workflows, and allows your team to be up to speed super fast with a scalable NoSQL datastore. You have the option to run Memurai as a Windows Service, making it perfectly suited to production environments.

The Memurai installation process is designed to be extremely easy and uses a standard MSI setup for installation and configuration.The configuration file syntax for Memurai is identical to Redis 5 syntax, apart from a few flags that are simply ignored by Memurai if present (mainly flags that are specific to Linux). Only flags from the Redis configuration file are supported and no new flags are introduced by Memurai. This means you don’t have to learn new tuning parameters, and any preexisting knowledge of configuring and tuning Redis applies directly to Memurai.

Just like Redis 5, Memurai supports multiple server roles. Configure Memurai to run with the sentinel role for high availability, improve scaling with the replica role, or use the cluster role to provide automatic partitioning of your data set. And as you’d probably expect at this point, each role is fully compatible with the Redis roles of the same name.

If you’re already running Redis instances on Linux, you can replicate data between Memurai and Redis, or use both Redis and Memurai within the same cluster. Running multiple instances of Memurai is no problem either and you can run more than one instance simultaneously (provided that you configure them to run on different ports).

For some Redis workloads, ensuring that your in-memory data set is safely written to disk is critical to ensuring the data set isn’t lost and that it can be quickly rebuilt if Redis restarts. Memurai supports persisting data to disk either synchronously or asynchronously. Internally, Redis uses the fork() system call to perform asynchronous writes, but that’s not an option for Memurai because fork() doesn’t exist on Windows. Instead, Memurai uses Windows shared memory to implement a start-of-the-art version of fork() that’s finely tuned for performance and allows Memurai to create data snapshots while still serving clients requests. Data can be written using the same AOF and RDB formats as Redis 5. RDB persists in-memory data to disk at specified intervals, and the AOF format is used to log every write operation received by the server, allowing Memurai to replay each log entry on startup to rebuild the in-memory data set.

Memurai comes with its own client, a command-line interface app known as memurai-cli.exe. But since Memurai is Redis-compatible and supports the full Redis 5 API, you’re able to use any redis client library to connect to Memurai and send commands. That includes using the official Redis CLI, redis-cli, on a Linux machine to connect a Memurai server running on Windows, or even connecting to a Redis instance on Linux with memurai-cli.exe.

But what if you’ve got favourite Redis modules that you want to use? Memurai supports the Redis 5 modules API too — Memurai was built to be a true drop-in replacement for Redis on Windows.

Get your Redis server Windows alternative

The majority of our customers start their exploration by test driving Memurai Developer for free. Once they are convinced that this is a robust solution, they reach out to us inquiring about Memurai Enterprise.
Premium support and an unrestricted feature set paired with the strong performance speaks for itself for this Redis server windows option. We keep our documentation up to date, follow our Stack Overflow channels, and respond to our comunity. Give it a try or get in touch with a Memurai expert for a free consultation https://www.memurai.com/get-memurai.

Redis is a trademark of Redis Ltd. Any rights therein are reserved to Redis Ltd. Any use by Memurai is for referential purposes only and does not indicate any sponsorship, endorsement or affiliation between Redis and Memurai

Best Redis Alternatives for Windows

If you want similar software to Redis, we have a list for that. Are there Redis alternatives out there? Let’s find out.

MongoDB

FreeOpen SourceMacWindowsLinuxWebBSD

MongoDB is a document database with the scalability and flexibility that you want with the querying and indexing that you need MongoDB stores data in flexible…

Features:

  • NoSQL database
  • Database

CouchDB

FreeOpen SourceMacWindowsLinuxAndroidBSD

Apache CouchDB is a distributed, fault-tolerant and schema-free document-oriented database accessible via a RESTful HTTP / JSON API. It includes incremental map / reduce…

Features:

  • Database Server
  • REST API
  • Database
  • Developer Tools
  • NoSQL database

ArangoDB

FreeOpen SourceMacWindowsLinux

ArangoDB database is an open-source NoSQL solution with a flexible data model for documents, graphs, and key-values. Build high performance applications using a…

Features:

  • Graph database
  • Database

Apache Cassandra

FreeOpen SourceMacWindowsLinuxBSD

Apache Cassandra has become the leading NoSQL platform driving many of today’s modern business applications by offering continuous availability, high scalability and…

Features:

  • NoSQL database
  • Persistent Storage
  • Database
  • Relational database

Cloudify

FreeOpen SourceMacWindowsLinuxWeb

Cloudify is an orchestration-first, model-driven cloud management platform native to Network function virtualization (NFV), that is open source and based on the TOSCA…

Features:

  • Cloud based
  • Cloud Monitoring
  • Continuous Deployment
  • MongoDB
  • Multi-Tenant
  • Network Monitoring
  • Nginx
  • Python
  • Ruby

GridGain In-Memory Data Fabric

CommercialWindowsLinux

The GridGain In-Memory Data Fabric is a proven software solution, which enables high-performance transactions, real-time streaming and fast analytics in a single…

Features:

  • Clustering
  • Database
  • Low Latency
  • Real-time analytics

RethinkDB

FreeOpen SourceMacWindowsLinuxBSD

RethinkDB pushes JSON to your apps in realtime. When your app polls for data, it becomes slow, unscalable, and cumbersome to maintain. RethinkDB is the…

Features:

  • Database
  • Distributed Database

Hazelcast

FreeOpen SourceMacWindowsLinux

Hazelcast is an in-memory Open Source data grid based on Java. By having multiple nodes form a cluster, data is evenly distributed among the nodes. This allows for…

Features:

  • Data stream processing
  • Database
  • Distributed
  • Distributed Cache
  • In-memory database

28 Mar 2025 | 8 min read

When it comes to storing and managing data, Redis is a widely preferred option because of its fast performance and effectiveness. It is a memory-based data structure repository that accommodates different data types and is commonly utilized for caching real-time analytics, and messaging. Nevertheless, Redis was mainly designed for UNIX platforms such as Linux, so its functionality and suitability on Windows may not always be optimal.

Although there is a Windows release of Redis, it might not consistently provide the equivalent reliability, stability, or support as on Unix-based platforms. This may pose difficulties for developers and businesses that depend on Windows systems. Consequently, there is an increasing demand to investigate other options that can offer comparable features but are better suited for the Windows operating system.

Why Look for Redis Alternatives

Redis is recognized for its speed and flexibility, making it a potent tool, but there are difficulties when running it on Windows. The original intention for Redis was to be used on Unix-like systems, so its Windows iteration may occasionally be less dependable. Users could face performance problems, intermittent crashes, or challenges with updates and support. The Redis Windows port is not actively supported, potentially causing issues with compatibility with Windows updates or other programs.

Sometimes, these restrictions have the potential to create issues in actual work settings. For instance, companies depending on Windows servers may consider Redis to be an unreliable option for their essential applications. Developers may face challenges if they need to integrate Redis with other Windows-based tools or if they require continuous updates and long-term support.

Considering these obstacles, it is crucial to explore other options that are more appropriate for Windows operating systems. These options could provide comparable characteristics to Redis but with improved speed, more straightforward compatibility, and more dependable assistance for Windows platforms. Instances, where an alternative could be more desirable, include cases where stability is vital, when strong integration with other Windows apps is needed, or when long-term support and updates are crucial for the project’s success.

Criteria for Choosing an Alternative

When searching for a substitute for Redis on Windows, it is essential to take into account a number of crucial elements in order to select the correct option.

Initially, performance is essential. Because Redis is recognized for its fast performance, any substitute must be capable of handling data rapidly and effectively. If the substitute cannot meet the requirements of your application, it might not be a suitable alternative.

After that, ensuring compatibility with Windows is of utmost importance. The other option should function seamlessly on Windows without needing intricate setups or solutions. It should be specifically tailored or optimized to operate smoothly on Windows systems to prevent potential problems that can occur with Redis on this platform.

Lastly, take into account the features that are vital for your particular scenario. If you depend on certain features of Redis, like data persistence, clustering, or specific data types, the substitute should provide comparable capabilities. Furthermore, adequate documentation, support from the community, and the system’s user-friendliness are crucial elements for a seamless transition and sustained success with the new system. By paying attention to these factors, you can choose a substitute for Redis that fits your requirements and functions effectively on your Windows system.

Top Redis Alternatives for Windows

Memcached

Memcached is a decentralized memory caching system aimed at enhancing the performance of dynamic web applications by decreasing the strain on the database while remaining efficient. It is a popular choice for storing small data fragments such as database call results, API call outcomes, and page rendering data due to its simplicity and effectiveness. Memcached works by storing information in RAM, enabling rapid data access.

Comparison to Redis

Although Memcached and Redis are both utilized for caching purposes, they possess distinct vital variations. Memcached is essential and only concentrates on caching without any assistance for data persistence or complex data structures. On the other hand, Redis provides a broader variety of features such as data persistence, more intricate data structures (such as lists, sets, and sorted sets), and built-in replication and clustering.

Pros and Cons on Windows

  • Pros: Memcached is recognized for its lightweight nature and simplicity in setting up on Windows. It uses very few resources, which is advantageous for applications requiring straightforward, high-speed caching. Furthermore, the simplicity of Memcached can streamline maintenance and troubleshooting in a Windows setting.
  • Cons: Nevertheless, the simplicity of Memcached can also act as a restriction. If the server goes down, any cached data is lost as it does not have data persistence. Furthermore, it does not have the additional capabilities and versatility that Redis provides. For applications requiring advanced caching features, Memcached may not be adequate.

Couchbase

Couchbase is recognized for its versatility and capability to manage various data types as a NoSQL database. It merges the functions of a key-value store and a document-oriented database, making it versatile for different purposes, ranging from caching to comprehensive database administration. Couchbase is created to offer consistent access, expandability, and effectiveness, utilizing characteristics such as automated data duplication, decentralized structure, and backing for advanced inquiries using its SQL-like query language, N1QL.

Redis Alternative for Windows

Comparison with Redis

While Couchbase and Redis have some similarities in their functions, they are mainly used for distinct purposes. Redis is primarily a high-performance in-memory storage system focused on caching, whereas Couchbase provides a broader database solution including persistent storage, indexing, and querying features. Couchbase specializes in managing intricate data structures and offers inherent assistance for distributed tasks, while Redis shines in situations needing fast data retrieval.

Pros and Cons on Windows

  • Pros: Couchbase is fully compatible with Windows and provides solid tools for overseeing extensive applications. Its versatility lies in its capability to manage both key-value and document-based data, while its backing for SQL-like queries is advantageous for developers accustomed to relational databases. Moreover, the reliability of Couchbase on Windows servers is enhanced by its built-in replication and failover mechanisms.
  • Cons: Setting up and managing Couchbase can be more challenging compared to Redis, especially for primary uses like caching. More resources are needed, which may not be suitable for lightweight applications. Couchbase could be too much for those seeking a simple in-memory caching solution.

Aerospike

Aerospike is a rapid NoSQL database designed for real-time applications requiring quick response times and high reliability. Created to efficiently handle large volumes of data reliably, it is ideal for tasks such as detecting fraud, hosting live auctions, and maintaining user profiles. Aerospike utilizes a mixture of memory models, keeping indexes in RAM while also saving data on rapid storage systems such as SSDs, enabling it to provide both quick performance and long-lasting data. It also backs distributed activities, guaranteeing data is duplicated and consistently accessible on various nodes.

Comparison to Redis

Aerospike and Redis are renowned for their fast performance, catering to slightly different requirements. Redis is a high-performing in-memory datastore that is particularly good at caching and basic data manipulation operations. In contrast, Aerospike is tailored for intricate, extensive applications that necessitate durable storage and robust data management functionalities. Although Redis is typically utilized for short-term data storage, Aerospike is better suited for situations where ensuring data durability and consistency is essential.

Pros and Cons on Windows

  • Pros: Aerospike provides robust Windows support and includes functionalities that are ideal for corporate settings. The capacity to manage large volumes of data quickly is a significant benefit, particularly for tasks requiring instantaneous performance. The combination storage method also guarantees data integrity, striking a balance between quick access and resilience.
  • Cons: Nevertheless, setting up and managing Aerospike may prove to be more intricate compared to Redis, especially for smaller or straightforward projects. It also demands additional resources, including hardware and configuration, that may be excessive for applications with basic caching requirements. Aerospike could be too robust for developers seeking a simple, in-memory solution.

Other Notable Alternatives

In addition to Memcached, Couchbase, and Aerospike, there are numerous other Redis substitutes to explore specifically for Windows setups. One option to consider is Apache Ignite. It is a platform for in-memory computing that provides caching and complete database features. Ignite is highly versatile for various applications due to its support for SQL, key-value, and other data models. It seamlessly integrates with existing databases, boosting performance without the need for a complete system overhaul.

Another choice is Hazelcast, a distributed data grid that stores data in memory and is perfect for applications that require high availability and scalability. Like Redis, Hazelcast provides various data structures and is well-suited for activities like caching, session handling, and immediate processing. Its reliable option for Windows-based systems is due to its robust clustering and fault-tolerance capabilities.

Ehcache is a viable alternative, especially if you want a straightforward and effective caching solution. Integrating with Java applications is simple and offers efficient performance with little setup required. While these options may not entirely substitute Redis in every situation, they provide distinct characteristics that may be more appropriate based on your particular requirements in a Windows setting.

Comparison of Alternatives

Performance is a crucial aspect to consider when evaluating alternative options for Redis on Windows. Memcached is efficient and speedy for basic caching needs but does not have the advanced capabilities required for complex tasks. Aerospike and Couchbase both deliver high performance when dealing with large amounts of data, with Aerospike standing out in low-latency environments and Couchbase offering strong data management capabilities.

In terms of simplicity in setup and configuration, Memcached is the easiest, making it perfect for basic caching requirements. Couchbase and Aerospike are more potent options but demand additional time and expertise for installation and setup, particularly for inexperienced users. Both Hazelcast and Apache Ignite provide a moderate level of difficulty with thorough documentation to assist users in setting up their systems.

In terms of community and support, Redis benefits significantly from its extensive and engaged community. Among the various options, Couchbase and Hazelcast also boast robust communities and thorough documentation, facilitating the discovery of assistance and resources. Aerospike and Apache Ignite also provide vital support despite having smaller communities than Redis. In general, the decision of which alternative to choose is based on the particular requirements of your application and the amount of support you need.

Conclusion

In conclusion, although Redis is a robust tool, it may not be the most suitable for Windows environments because of compatibility and stability concerns. Various options such as Memcached, Couchbase, Aerospike, Apache Ignite, and Hazelcast provide distinct advantages, varying from basic caching to comprehensive database solutions. The optimal selection varies according to your particular requirements, such as functionality, user-friendliness, and support options. By carefully evaluating these elements, you can choose the best choice for your Windows-oriented projects.


We have listed 9 alternatives for Redis which have similar features like
Redis
including commercial, freemium, free and open source Windows
alternatives.

MongoDB is a free and open-source cross-platform document-oriented database program.

ArangoDB is a NoSQL multi-modelPro Hibernate and MongoDB database.

GridGain In-Memory Data Fabric is an in-memory computing platform.

Hazelcast is an open source in-memory data grid based on Java.

Apache Cassandra is a free and open-source distributed NoSQL database management system.

Apache CouchDB is open source database software.

Cloudify is an open source software cloud orchestration product.

RethinkDB is a free and open-source, NoSQL, distributed document-oriented database.

Couchbase is an open-source multi-model NoSQL document-oriented database software package that is optimized for interactive applications.

Compare Redis with alternatives

Compare MongoDB and Redis and decide which is most suitable for you.

Compare CouchDB and Redis and decide which is most suitable for you.

Compare ArangoDB and Redis and decide which is most suitable for you.

Compare Cloudify and Redis and decide which is most suitable for you.

Compare GridGain In-Memory Data Fabric and Redis and decide which is most suitable for you.

Compare RethinkDB and Redis and decide which is most suitable for you.

Compare Hazelcast and Redis and decide which is most suitable for you.

Compare CouchBase and Redis and decide which is most suitable for you.

Compare Apache Cassandra and Redis and decide which is most suitable for you.

According to Stack Overflow Developer Survey 2023, Redis was one of the most admired databases. However, recent licensing changes have sparked an uproar in the open source community which might skew the results next year as people look at Redis alternatives.

In this post, we will briefly cover what Redis is, and why in-memory databases are so popular. We will then discuss the recent changes in its license and its impacts, and then finally, examine some of the reputable databases that you can use as Redis alternatives.

Let’s dive right in!

What is Redis

Redis, which stands for Remote Dictionary Server, is an open-source, in-memory data structure store – which means that instead of storing the data on your hard disk, it stores it in the RAM.

It’s primarily used as a database, cache, and message broker, and supports various data structures, including:

  • Strings
  • Hashes
  • Lists, sets
  • Sorted sets with range queries
  • Bitmaps
  • Hyperloglogs
  • Geospatial indexes
  • Streams

All of which makes it very flexible and versatile for a wide range of applications.

Advantages of In-Memory Databases

If you know a little bit about web applications, you might have already heard of traditional database systems such as MySQL and MariaDB – but what makes in-memory databases special?

  1. Speed: In-memory databases use RAM instead of hard disk drives (HDD) or solid-state drives (SSD) to store data, drastically reducing the latency of reading and writing data. Using an in-memory database can deliver extremely fast read and write operations, making them suitable for scenarios where low-latency is critical.
  2. Real-Time Analytics: These databases are ideal for applications that process a lot of data, such as advanced planning, simulation, and analytics.
  3. Scalability: In-memory databases are simpler to scale up and down compared to other databases, because of how they store data.

Redis License Changes in 2024

In 2024, Redis changed its licensing from an open-source BSD license to a dual license model, adopting the Redis Source Available License version 2 (RSALv2) and the Server-Side Public License version 1 (SSPLv1).

For most users, including software vendors and hosting customers, this license change won’t affect their operations. If you’re using Redis for caching within your web applications or internally within your organization, the new licensing terms do not apply.

However, the change significantly impacts companies offering managed Redis services, such as AWS ElastiCache, Upstash, Railway, and DigitalOcean. These providers, which were previously able to use the Redis source code free of charge, will now be required to enter into commercial agreements with Redis to use the source code.

These providers can no longer resell Redis as a service as part of their business without some kind of licensed contribution back.

Top Alternatives to Redis

If you’re looking for other in-memory database solutions to replace Redis, then we recommend considering the following Redis alternatives.

1. Valkey

Valkey, a fork of Redis, is a new project that aims to resume development of the formerly open-source Redis project. It aims to be a high-performance data structure server primarily serving key/value workloads, hence the name val-key.

The fork was triggered by Redis Labs’ licensing changes, which made Redis incompatible with the standard definition of “open source.” The large cloud vendors had profited from the open source Redis version and, as a result, Valkey is backed by major tech players including AWS, Google, Oracle, and Snap Inc.

Just like Redis, it supports a wide range of native structures, and has an extensible plugin system for adding new data structures and access patterns. However, At the time of writing, Valkey is still not a polished product, and things are evolving. While it serves as a drop-in replacement for Redis, users should be aware of its ongoing development and potential rough edges.

2. Dragonfly DB

Dragonfly is a powerful in-memory data store that offers extreme performance, reliability, and scalability. It is fully compatible with Redis APIs, making it a seamless drop-in replacement for Redis – you can use the same SDKs and tooling without any code changes.

It’s optimized for modern cloud computing, ensuring sub-millisecond reads and real-time experiences for your customers, and claims to deliver 25x more throughput compared to legacy software. Unlike traditional in-memory data stores, Dragonfly makes efficient use of memory during snapshotting which reduces the risk of out-of-memory outages.

A single Dragonfly instance can handle workloads of up to 1TB, which means you no longer need to maintain complex distributed clusters. Additionally, it natively supports an eventually consistent primary-replica model, i.e. if the primary node fails, Dragonfly automatically fails over to the replica.

3. Memcached

Memcached is a free and open-source, high-performance, distributed memory object caching system designed to speed up dynamic web applications by alleviating database load. It’s useful for caching small arbitrary data (such as strings or objects) from database results, API calls, or page rendering.

It follows a Client-Server Architecture where clients are given a list of available Memcached servers, and are then able to choose a server based on the “key.” Servers store values with their keys in an internal hash table, and evict old data (if out of memory) or reuse memory. The server doesn’t care about the data’s structure, it only stores a key, an expiration time, optional flags, and raw (pre-serialized) data.

It’s optimized for speed and lock-friendliness, and therefore queries execute in well under 1ms on slow machines – and serve millions of keys per second on high-end servers. It also uses a least recently used cache by default, i.e., items expire after a specified time, ensuring low latency and efficient memory usage. Its simplicity and efficiency make it a popular choice for caching data.

4. Hazelcast

Hazelcast Platform is a unified real-time data platform that allows companies to take instant action on real-time data. It combines high-performance stream processing capabilities with a built-in fast data store, enabling businesses to automate, streamline, and enhance critical processes and applications.

Hazelcast offers high-speed caching, resulting in improved throughput and lower latency – this allows you to process data quickly and efficiently. It also provides a high-performance, distributed, and parallelized environment that reduces the need for low-level infrastructure management.

5. Key DB

KeyDB is a fully open-source database that serves as a faster drop-in alternative to Redis. It’s backed by Snap Inc., and is designed for scalability and high performance which allows it to handle heavy workloads – benchmarking at over 1 million ops/sec.

KeyDB supports various data structures, including:

  • Strings
  • Hashes
  • Lists
  • Sets
  • Sorted sets
  • Bitmaps
  • Hyperloglogs
  • Geospatial indexes
  • Streams.

To store the data on disk, you can either periodically dump the dataset to disk, or append each command to a disk-based log.

KeyDB scales both vertically (single node) and horizontally (active-replication or sharded cluster-mode) to meet larger workloads. You can set-up active-replica nodes to simplify high availability setups without requiring sentinel nodes for failover. Additionally, its multithreaded architecture outperforms Redis on a per-node basis.

6. MongoDB

MongoDB offers an in-memory storage engine that allows for more predictable latency of database operations by avoiding disk I/O. Unlike other storage engines, the in-memory storage engine doesn’t maintain any on-disk data, including configuration data, indexes, or user credentials, which makes it comparable to other in-memory databases.

To use the in-memory storage engine, you can either specify –storageEngine inMemory as a command-line option, or include the storage.engine: inMemory in the YAML configuration file. Additionally, you need to specify the data directory (–dbpath or storage.dbPath) even though the in-memory storage engine doesn’t write data to the filesystem.

By default, the in-memory storage engine uses 50% of physical RAM minus 1 GB, and if a write operation would exceed the specified memory size, MongoDB throws an error. Since the in-memory storage engine for MongoDB doesn’t persist data after process shutdown, it should only be used for scenarios where data persistence is not required.

7. RethinkDB

RethinkDB is an open-source, JSON database specially built from the ground up for the realtime web with scalability and performance in mind. It has a unique approach where, instead of polling for changes, the developer can configure RethinkDB to continuously push changes and update query results to applications in real-time. This push architecture dramatically reduces the time and effort necessary to build scalable realtime apps.

In RethinkDB, every database process uses memory to store intermediate results and maintain internal state. The memory used varies significantly depending on the type of queries run, and the size of documents stored in the database. However, RethinkDB’s page cache keeps recently used data in memory to minimize disk access.

It’s important to note that RethinkDB can handle databases much larger than the amount of main memory available on a server. However, the management of memory is crucial for the performance of the database and the applications that rely on it. Check out the benchmarks on RethinkDB website to get a better understanding of how performance scales with the hardware.

8. Amazon MemoryDB

Amazon MemoryDB for Redis is a powerful in-memory database service that provides ultra-fast performance and durability for low-latency applications. It maintains compatibility with Redis, allowing you to use the same flexible data structures, APIs, and commands without worrying about the underlying infrastructure.

MemoryDB stores your entire dataset in memory, resulting in microsecond read latency and single-digit millisecond write latency. It is built with enhanced IO Multiplexing to improve throughput and latency at scale that allows it to handle over 13 trillion requests per day, and support peaks of 160 million requests per second.

It also supports horizontally scaling databases by building clusters, or vertically scaling by adjusting the machine type. You can store your data across multiple availability zones for fast failover, and take advantage of its distributed transaction log for data durability, consistency, and recoverability.

9. SAP HANA

SAP HANA (High-performance Analytic Appliance) is a multi-model database that stores data in its memory instead of on a disk. Similar to other databases discussed in this post, HANA offers split-second response times – which is useful for applications requiring fast compute speed and the ability to handle large spikes in traffic.

It supports column-oriented in-memory design which allows running advanced analytics alongside high-speed transactions in a single system. Moreover, it supports both structured and unstructured data, and offers advanced search, analytics, and data integration capabilities.

It is ACID complaint, i.e., one transaction either fails completely or succeeds – there is no-inbetween. You can use it to either host multiple tenant databases in one system to pool resources, or distribute your database across multiple machines in a cluster to scale it up without compromising on security.

Wrapping Up

In this post, we have discussed some of the popular in-memory Redis alternative databases available for building web applications. Each database has its own strengths and weaknesses, so the choice depends on specific use cases and requirements. 

Running your own Redis alternative? Don’t let server management slow you down.

If you’re testing or deploying Valkey, Dragonfly, or any other in-memory database, you’re likely juggling SSH sessions, tweaking config files, and firefighting performance issues.

That’s where RunCloud steps in.

With RunCloud, you can:

  • Spin up and manage servers on any major provider without touching the command line
  • Deploy your apps using Git or your workflow of choice
  • Monitor system resources and process logs with built-in tools
  • Automate routine tasks like SSL setup, security updates, and backups

Whether you’re building side projects or production-grade infrastructure, RunCloud simplifies the entire ops layer – so you can stay focused on your code.

See what server management should feel like. Try RunCloud today

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