Alternatives to memcached

Compare memcached alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to memcached in 2026. Compare features, ratings, user reviews, pricing, and more from memcached competitors and alternatives in order to make an informed decision for your business.

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    Couchbase

    Couchbase

    Couchbase

    Couchbase’s operational data platform for AI is a scalable foundation for enterprise operational, analytical, mobile and AI workloads that replaces legacy infrastructure and data services. Bring your data to life in new ways with Couchbase’s enterprise data partnership: launch game-changing customer experiences, explore the infinite possibilities of AI, scale your global operations, and move your data from the cloud to the edge, and beyond. Couchbase’s operational data platform for AI eliminates fragmented tech stacks, so teams can stay innovative and agile, with less risk and lower cost of ownership. With enterprise partnership and scalable, AI-ready technology, Couchbase turns your data into the foundation for your next breakthrough.
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    Dragonfly

    Dragonfly

    DragonflyDB

    Dragonfly is a drop-in Redis replacement that cuts costs and boosts performance. Designed to fully utilize the power of modern cloud hardware and deliver on the data demands of modern applications, Dragonfly frees developers from the limits of traditional in-memory data stores. The power of modern cloud hardware can never be realized with legacy software. Dragonfly is optimized for modern cloud computing, delivering 25x more throughput and 12x lower snapshotting latency when compared to legacy in-memory data stores like Redis, making it easy to deliver the real-time experience your customers expect. Scaling Redis workloads is expensive due to their inefficient, single-threaded model. Dragonfly is far more compute and memory efficient, resulting in up to 80% lower infrastructure costs. Dragonfly scales vertically first, only requiring clustering at an extremely high scale. This results in a far simpler operational model and a more reliable system.
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    RaimaDB

    RaimaDB

    Raima

    RaimaDB is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS. Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments. RaimaDB is a high-performance, cross-platform embedded database designed for mission-critical applications, particularly in the Internet of Things (IoT) and edge computing markets. It offers a small footprint, making it suitable for resource-constrained environments, and supports both in-memory and persistent storage configurations. RaimaDB provides developers with multiple data modeling options, including traditional relational models and direct relationships through network model sets. It ensures data integrity with ACID-compliant transactions and supports various indexing methods such as B+Tree, Hash Table, R-Tree, and AVL-Tree.
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    Amazon ElastiCache
    Amazon ElastiCache allows you to seamlessly set up, run, and scale popular open-Source compatible in-memory data stores in the cloud. Build data-intensive apps or boost the performance of your existing databases by retrieving data from high throughput and low latency in-memory data stores. Amazon ElastiCache is a popular choice for real-time use cases like Caching, Session Stores, Gaming, Geospatial Services, Real-Time Analytics, and Queuing. Amazon ElastiCache offers fully managed Redis and Memcached for your most demanding applications that require sub-millisecond response times. Amazon ElastiCache works as an in-memory data store and cache to support the most demanding applications requiring sub-millisecond response times. By utilizing an end-to-end optimized stack running on customer-dedicated nodes, Amazon ElastiCache provides secure, blazing-fast performance.
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    Redis

    Redis

    Redis Labs

    Redis Labs: home of Redis. Redis Enterprise is the best version of Redis. Go beyond cache; try Redis Enterprise free in the cloud using NoSQL & data caching with the world’s fastest in-memory database. Run Redis at scale, enterprise grade resiliency, massive scalability, ease of management, and operational simplicity. DevOps love Redis in the Cloud. Developers can access enhanced data structures, a variety of modules, and rapid innovation with faster time to market. CIOs love the confidence of working with 99.999% uptime best in class security and expert support from the creators of Redis. Implement relational databases, active-active, geo-distribution, built in conflict distribution for simple and complex data types, & reads/writes in multiple geo regions to the same data set. Redis Enterprise offers flexible deployment options, cloud on-prem, & hybrid. Redis Labs: home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.
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    Amazon DynamoDB
    Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It's a fully managed, multi-region, Multimaster, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. DynamoDB can handle more than 10 trillion requests per day and can support peaks of more than 20 million requests per second. Many of the world's fastest-growing businesses such as Lyft, Airbnb, and Redfin as well as enterprises such as Samsung, Toyota, and Capital One depend on the scale and performance of DynamoDB to support their mission-critical workloads. Focus on driving innovation with no operational overhead. Build out your game platform with player data, session history, and leaderboards for millions of concurrent users. Use design patterns for deploying shopping carts, workflow engines, inventory tracking, and customer profiles. DynamoDB supports high-traffic, extreme-scaled events.
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    Ehcache

    Ehcache

    Terracotta

    Ehcache is an open source, standards-based cache that boosts performance, offloads your database, and simplifies scalability. It's the most widely-used Java-based cache because it's robust, proven, full-featured, and integrates with other popular libraries and frameworks. Ehcache scales from in-process caching, all the way to mixed in-process/out-of-process deployments with terabyte-sized caches. Terracotta actively develops, maintains, and supports Ehcache as a professional open source project available under an Apache 2.0 license. Contributors are welcome to join our community.
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    Hazelcast

    Hazelcast

    Hazelcast

    In-Memory Computing Platform. The digital world is different. Microseconds matter. That's why the world's largest organizations rely on us to power their most time-sensitive applications at scale. New data-enabled applications can deliver transformative business power – if they meet today’s requirement of immediacy. Hazelcast solutions complement virtually any database to deliver results that are significantly faster than a traditional system of record. Hazelcast’s distributed architecture provides redundancy for continuous cluster up-time and always available data to serve the most demanding applications. Capacity grows elastically with demand, without compromising performance or availability. The fastest in-memory data grid, combined with third-generation high-speed event processing, delivered through the cloud.
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    Infinispan

    Infinispan

    Infinispan

    Infinispan is an open-source in-memory data grid that offers flexible deployment options and robust capabilities for storing, managing, and processing data. Infinispan provides a key/value data store that can hold all types of data, from Java objects to plain text. Infinispan distributes your data across elastically scalable clusters to guarantee high availability and fault tolerance, whether you use Infinispan as a volatile cache or a persistent data store. Infinispan turbocharges applications by storing data closer to processing logic, which reduces latency and increases throughput. Available as a Java library, you simply add Infinispan to your application dependencies and then you’re ready to store data in the same memory space as the executing code.
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    NCache

    NCache

    Alachisoft

    NCache is an open source distributed cache for .NET Framework & .NET Core (released under Apache License, Version 2.0), by Alachisoft. NCache provides an extremely fast and linearly scalable distributed cache that caches application data and reduces expensive database trips. Organizations use NCache to remove performance bottlenecks related to their data storage and databases and can scale their .NET and Java applications to extreme transaction processing (XTP). NCache Open Source gives the .NET developer community unrestricted access to the industry’s oldest and most popular distributed cache. Due to its Open Source nature .NET developers finally have complete access to a truly elastic .NET distributed cache that fits in nicely with their application’s .NET stack. Alachisoft is the market leader since 2003 through its product NCache. Founded in 1996 as a software development services company, Alachisoft transitioned to a product company in 2003
    Starting Price: $995.00
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    Oracle TimesTen
    Oracle TimesTen In-Memory Database (TimesTen) delivers real time application performance (low response time and high throughput) by changing the assumptions around where data resides at runtime. By managing data in memory, and optimizing data structures and access algorithms accordingly, database operations execute with maximum efficiency achieving dramatic gains in responsiveness and throughput. With the introduction of TimesTen Scaleout, a shared nothing scale-out architecture based on the existing in-memory technology, TimesTen allows databases to transparently scale across dozens of hosts, reach hundreds of terabytes in size and support hundreds of millions of transactions per second without the need for manual database sharding or workload partitioning.
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    Google Cloud Memorystore
    Reduce latency with scalable, secure, and highly available in-memory service for Redis and Memcached. Memorystore automates complex tasks for open source Redis and Memcached like enabling high availability, failover, patching, and monitoring so you can spend more time coding. Start with the lowest tier and smallest size and then grow your instance with minimal impact. Memorystore for Memcached can support clusters as large as 5 TB supporting millions of QPS at very low latency. Memorystore for Redis instances are replicated across two zones and provide a 99.9% availability SLA. Instances are monitored constantly and with automatic failover—applications experience minimal disruption. Choose from the two most popular open source caching engines to build your applications. Memorystore supports both Redis and Memcached and is fully protocol compatible. Choose the right engine that fits your cost and availability requirements.
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    Apache Ignite

    Apache Ignite

    Apache Ignite

    Use Ignite as a traditional SQL database by leveraging JDBC drivers, ODBC drivers, or the native SQL APIs that are available for Java, C#, C++, Python, and other programming languages. Seamlessly join, group, aggregate, and order your distributed in-memory and on-disk data. Accelerate your existing applications by 100x using Ignite as an in-memory cache or in-memory data grid that is deployed over one or more external databases. Think of a cache that you can query with SQL, transact, and compute on. Build modern applications that support transactional and analytical workloads by using Ignite as a database that scales beyond the available memory capacity. Ignite allocates memory for your hot data and goes to disk whenever applications query cold records. Execute kilobyte-size custom code over petabytes of data. Turn your Ignite database into a distributed supercomputer for low-latency calculations, complex analytics, and machine learning.
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    MemCachier

    MemCachier

    MemCachier

    MemCachier manages and scales clusters of memcache servers so you can focus on your app. Our custom memcache implementation offers better reliability and usability than memcached, with the same low latency. Tell us how much memory you need and get started for free instantly. Add capacity later as you need it without changing any code. MemCachier is the fastest, most reliable implementation of memcache - an in-memory, distributed cache system. Built specifically for customers in the cloud, MemCachier is designed from the ground up to be easier to use, more reliable, more powerful, and lower cost than other implementations such as memcached. By using MemCachier, you can take advantage of the same low latency that memcached provides without sacrificing developer time and resources. Start with a free 25MB, and upgrade with ease when you're ready.
    Starting Price: $14 per month
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    eXtremeDB

    eXtremeDB

    McObject

    How is platform independent eXtremeDB different? - Hybrid data storage. Unlike other IMDS, eXtremeDB can be all-in-memory, all-persistent, or have a mix of in-memory tables and persistent tables - Active Replication Fabric™ is unique to eXtremeDB, offering bidirectional replication, multi-tier replication (e.g. edge-to-gateway-to-gateway-to-cloud), compression to maximize limited bandwidth networks and more - Row & Columnar Flexibility for Time Series Data supports database designs that combine row-based and column-based layouts, in order to best leverage the CPU cache speed - Embedded and Client/Server. Fast, flexible eXtremeDB is data management wherever you need it, and can be deployed as an embedded database system, and/or as a client/server database system -A hard real-time deterministic option in eXtremeDB/rt Designed for use in resource-constrained, mission-critical embedded systems. Found in everything from routers to satellites to trains to stock markets worldwide
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    GridDB

    GridDB

    GridDB

    GridDB uses multicast communication to constitute a cluster. Set the network to enable multicast communication. First, check the host name and an IP address. Execute “hostname -i” command to check the settings of an IP address of the host. If the IP address of the machine is the same as below, no need to perform additional network setting and you can jump to the next section. GridDB is a database that manages a group of data (known as a row) that is made up of a key and multiple values. Besides having a composition of an in-memory database that arranges all the data in the memory, it can also adopt a hybrid composition combining the use of a disk (including SSD as well) and a memory.
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    VMware Tanzu GemFire
    VMware Tanzu GemFire is a distributed, in-memory, key-value store that performs read and write operations at blazingly fast speeds. It offers highly available parallel message queues, continuous availability, and an event-driven architecture you can scale dynamically, with no downtime. As your data size requirements increase to support high-performance, real-time apps, Tanzu GemFire can scale linearly with ease. Traditional databases are often too brittle or unreliable for use with microservices. That’s why every modern distributed architecture needs a cache! With Tanzu GemFire, applications get low-latency responses to data access requests, and always return fresh data. Your applications can subscribe to real-time events to react to changes immediately. Tanzu GemFire’s continuous queries notify your application when new data is available, which reduces the overhead on your SQL database.
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    FairCom DB

    FairCom DB

    FairCom Corporation

    FairCom DB is ideal for large-scale, mission-critical, core-business applications that require performance, reliability and scalability that cannot be achieved by other databases. FairCom DB delivers predictable high-velocity transactions and massively parallel big data analytics. It empowers developers with NoSQL APIs for processing binary data at machine speed and ANSI SQL for easy queries and analytics over the same binary data. Among the companies that take advantage of the flexibility of FairCom DB is Verizon, who recently chose FairCom DB as an in-memory database for its Verizon Intelligent Network Control Platform Transaction Server Migration. FairCom DB is an advanced database engine that gives you a Continuum of Control to achieve unprecedented performance with the lowest total cost of ownership (TCO). You do not conform to FairCom DB…FairCom DB conforms to you. With FairCom DB, you are not forced to conform your needs to meet the limitations of the database.
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    RocksDB

    RocksDB

    RocksDB

    RocksDB uses a log structured database engine, written entirely in C++, for maximum performance. Keys and values are just arbitrarily-sized byte streams. RocksDB is optimized for fast, low latency storage such as flash drives and high-speed disk drives. RocksDB exploits the full potential of high read/write rates offered by flash or RAM. RocksDB provides basic operations such as opening and closing a database, reading and writing to more advanced operations such as merging and compaction filters. RocksDB is adaptable to different workloads. From database storage engines such as MyRocks to application data caching to embedded workloads, RocksDB can be used for a variety of data needs.
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    Oracle Coherence
    Oracle Coherence is the industry leading in-memory data grid solution that enables organizations to predictably scale mission-critical applications by providing fast access to frequently used data. As data volumes and customer expectations increase, driven by the “internet of things”, social, mobile, cloud and always-connected devices, so does the need to handle more data in real-time, offload over-burdened shared data services and provide availability guarantees. The latest release of Oracle Coherence, 14.1.1, adds a patented scalable messaging implementation, support for polyglot grid-side programming on GraalVM, distributed tracing in the grid, and certification on JDK 11. Coherence stores each piece of data within multiple members (one primary and one or more backup copies), and doesn't consider any mutating operation complete until the backup(s) are successfully created. This ensures that your data grid can tolerate the failure at any level: from single JVM, to whole data center.
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    GridGain

    GridGain

    GridGain Systems

    The enterprise-grade platform built on Apache Ignite that provides in-memory speed and massive scalability for data-intensive applications and real-time data access across datastores and applications. Upgrade from Ignite to GridGain with no code changes and deploy your clusters securely at global scale with zero downtime. Perform rolling upgrades of your production clusters with no impact on application availability. Replicate across globally distributed data centers to load balance workloads and prevent downtime from regional outages. Secure your data at rest and in motion, and ensure compliance with security and privacy standards. Easily integrate with your organization's authentication and authorization system. Enable full data and user activity auditing. Create automated schedules for full and incremental backups. Restore your cluster to the last stable state with snapshots and point-in-time recovery.
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    Tarantool

    Tarantool

    Tarantool

    Corporations need a way to ensure uninterrupted operation of their systems, high speed of data processing, and reliability of storage. The in-memory technologies have proven themselves well in solving these problems. For more than 10 years, Tarantool has been helping companies all over the world build smart caches, data marts, and golden client profiles while saving server capacity. Reduce the cost of storing credentials compared to siloed solutions and improve the service and security of client applications. Reduce data management costs of maintaining a large number of disparate systems that store customer identities. Increase sales by improving the speed and quality of customer recommendations for goods or services through the analysis of user behavior and user data. Improve mobile and web channel service by accelerating frontends to reduce user outflow. IT systems of large organizations operate in a closed loop of a local network, where data circulates unprotected.
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    AsparaDB

    AsparaDB

    Alibaba

    ApsaraDB for Redis is an automated and scalable tool for developers to manage data storage shared across multiple processes, applications or servers. As a Redis protocol compatible tool, ApsaraDB for Redis offers exceptional read-write capabilities and ensures data persistence by using memory and hard disk storage. ApsaraDB for Redis provides data read-write capabilities at high speed by retrieving data from in-memory caches and ensures data persistence by using both memory and hard disk storage mode. ApsaraDB for Redis supports advanced data structures such as leaderboard, counting, session, and tracking, which are not readily achievable through ordinary databases. ApsaraDB for Redis also has an enhanced edition called "Tair" . Tair has officially handled the data caching scenarios of Alibaba Group since 2009 and has proven its outstanding performance in scenarios such as Double 11 Shopping Festival.
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    Starcounter

    Starcounter

    Starcounter

    Our ACID in-memory technology and application server enable you to build lightning-fast enterprise software. Without custom tooling or new syntax. Starcounter applications let you achieve 50 to 1000 times better performance without adding complexity. Applications are written in regular C#, LINQ, and SQL. Even the ACID transactions are written in regular C# code. Full Visual Studio support including IntelliSense, debugger, and performance profiler. All the things you like, minus the headache. Write regular C# syntax with MVVM pattern to leverage ACID in-memory technology and thin client UI for extreme performance. Starcounter technology adds business value from day one. We leverage technology that’s already developed and in production, processing millions of business transactions for high-demand customers. Starcounter combines ACID in-memory database and application server into a single platform unmatched in performance, simplicity, and price.
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    Kyoto Tycoon

    Kyoto Tycoon

    Altice Labs

    Kyoto Tycoon is a lightweight network server on top of the Kyoto Cabinet key-value database, built for high-performance and concurrency. Some of its features include. It has its own fully-featured protocol based on HTTP and a (limited) binary protocol for even better performance. There are several client libraries implementing them for multiple languages (we're maintaining one for Python here). It can also be configured with simultaneous support for the memcached protocol, with some limitations on available data update commands. This is useful if you wish to replace memcached in larger-than-memory/persistency scenarios. Here you can find improved versions of the latest available upstream releases, intended to be used together and tested in real-world production environments. The changes include bug fixes, minor new features and packaging for a few Linux distributions.
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    SAP HANA
    SAP HANA in-memory database is for transactional and analytical workloads with any data type — on a single data copy. It breaks down the transactional and analytical silos in organizations, for quick decision-making, on premise and in the cloud. Innovate without boundaries on a database management system, where you can develop intelligent and live solutions for quick decision-making on a single data copy. And with advanced analytics, you can support next-generation transactional processing. Build data solutions with cloud-native scalability, speed, and performance. With the SAP HANA Cloud database, you can gain trusted, business-ready information from a single solution, while enabling security, privacy, and anonymization with proven enterprise reliability. An intelligent enterprise runs on insight from data – and more than ever, this insight must be delivered in real time.
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    Apache Geode
    Build high-speed, data-intensive applications that elastically meet performance requirements at any scale. Take advantage of Apache Geode's unique technology that blends advanced techniques for data replication, partitioning and distributed processing. Apache Geode provides a database-like consistency model, reliable transaction processing and a shared-nothing architecture to maintain very low latency performance with high concurrency processing. Data can easily be partitioned (sharded) or replicated between nodes allowing performance to scale as needed. Durability is ensured through redundant in-memory copies and disk-based persistence. Super fast write-ahead-logging (WAL) persistence with a shared-nothing architecture that is optimized for fast parallel recovery of nodes or an entire cluster.
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    Altibase

    Altibase

    Altibase

    Altibase is an enterprise-grade, high-performance and relational open source database. A single database that delivers high-intensity data processing through an in-memory database portion and large storage capacity through an on-disk database portion. 10 times faster than conventional on-disk databases. Clients have consistently chosen Altibase over Oracle, IBM, Microsoft, and others. Altibase has replaced many traditional on-disk databases in various industries that require real time solutions since 1999. Altibase now has over 650 global enterprise clients including 8 Fortune Global 500 companies with thousands of mission-critical deployments worldwide. Product maturity rich with function and feature. Altibase is open source which includes its cutting-edge scale-out technology, sharding. No license costs with flexible and competitive subscription fees. 20 years’ accumulated know-how of dealing with over 6,000 mission-critical use cases.
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    Symas LMDB

    Symas LMDB

    Symas Corporation

    Symas LMDB is an extraordinarily fast, memory-efficient database we developed for the OpenLDAP Project. With memory-mapped files, it has the read performance of a pure in-memory database while retaining the persistence of standard disk-based databases. Bottom line, with only 32KB of object code, LMDB may seem tiny. But it’s the right 32KB. Compact and efficient are two sides of a coin; that’s part of what makes LMDB so powerful. Symas offers fixed-price commercial support to those using LMDB in your applications. Development occurs in the OpenLDAP Project‘s git repo in the mdb.master branch. Symas LMDB has been written about, talked about, and utilized in a variety of impressive products and publications.
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    Aerospike

    Aerospike

    Aerospike

    Aerospike is the global leader in next-generation, real-time NoSQL data solutions for any scale. Aerospike enterprises overcome seemingly impossible data bottlenecks to compete and win with a fraction of the infrastructure complexity and cost of legacy NoSQL databases. Aerospike’s patented Hybrid Memory Architecture™ delivers an unbreakable competitive advantage by unlocking the full potential of modern hardware, delivering previously unimaginable value from vast amounts of data at the edge, to the core and in the cloud. Aerospike empowers customers to instantly fight fraud; dramatically increase shopping cart size; deploy global digital payment networks; and deliver instant, one-to-one personalization for millions of customers. Aerospike customers include Airtel, Banca d’Italia, Nielsen, PayPal, Snap, Verizon Media and Wayfair. The company is headquartered in Mountain View, Calif., with additional locations in London; Bengaluru, India; and Tel Aviv, Israel.
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    Oracle Database
    Oracle database products offer customers cost-optimized and high-performance versions of Oracle Database, the world's leading converged, multi-model database management system, as well as in-memory, NoSQL, and MySQL databases. Oracle Autonomous Database, available on-premises via Oracle Cloud@Customer or in the Oracle Cloud Infrastructure, enables customers to simplify relational database environments and reduce management workloads. Oracle Autonomous Database eliminates the complexity of operating and securing Oracle Database while giving customers the highest levels of performance, scalability, and availability. Oracle Database can be deployed on-premises when customers have data residency and network latency concerns. Customers with applications that are dependent on specific Oracle database versions have complete control over the versions they run and when those versions change.
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    Amazon MemoryDB
    Valkey- and Redis OSS-compatible, durable, in-memory database service for ultra-fast performance. Scale to hundreds of millions of requests per second and over one hundred terabytes of storage per cluster. Stores data durably using a multi-AZ transaction log for 99.99% availability and near-instantaneous recovery without data loss. Secure your data with encryption at rest and in transit, private VPC endpoints, and multiple authentication mechanisms, including IAM authentication. Quickly build applications with Valkey and Redis OSS data structures and a rich open source API, and easily integrate with other AWS services. Deliver real-time personalized experiences with the highest relevancy and fastest semantic search experience among popular vector databases on AWS. Simplify application development and improve time-to-market with built-in access to flexible data structures that are available in Valkey and Redis OSS.
    Starting Price: $0.2163 per hour
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    Azure Cache for Redis
    As traffic and demands on your app increase, scale performance simply and cost-effectively. Add a quick caching layer to the application architecture to handle thousands of simultaneous users with near-instant speed—all with the benefits of a fully managed service. Superior throughput and performance to handle millions of requests per second with sub-millisecond latency. Fully managed service with automatic patching, updates, scaling, and provisioning so you can focus on development. RedisBloom, RediSearch, and RedisTimeSeries module integration, supporting data analysis, search, and streaming. Powerful capabilities including clustering, built-in replication, Redis on Flash, and availability of up to 99.99 percent. Complement database services like Azure SQL Database and Azure Cosmos DB by enabling your data tier to scale throughput at a lower cost than through expanded database instances.
    Starting Price: $1.11 per month
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    Terracotta

    Terracotta

    Software AG

    Terracotta DB is a comprehensive, distributed in-memory data management solution which caters to caching and operational storage use cases, and enables transactional and analytical processing. Ultra-Fast Ram + Big Data = Business Power. With BigMemory, you get: Real-time access to terabytes of in-memory data. High throughput with low, predictable latency. Support for Java®, Microsoft® .NET/C#, C++ applications. 99.999 percent uptime. Linear scalability. Data consistency guarantees across multiple servers. Optimized data storage across RAM and SSD. SQL support for querying in-memory data. Reduced infrastructure costs through maximum hardware utilization. High-performance, persistent storage for durability and ultra-fast restart. Advanced monitoring, management and control. Ultra-fast in-memory data stores that automatically move data where it’s needed. Support for data replication across multiple data centers for disaster recovery. Manage fast-moving data in real time
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    PrimoCache

    PrimoCache

    Romex Software

    Effectively cache your frequently used applications, documents and other data into faster storage devices, accessing them at up to RAM-like or SSD-like speeds. Make your computer more responsive for creating, gaming and producing, with less boot and load times. Complete write requests very quickly by temporarily storing incoming data into RAM or SSD storage first and writing them back to target disks later. Enable your computer to handle heavy or stream write IOs, while reducing writes and wear on disks. Capable of interoperating with almost all faster storage devices, including system memory, invisible memory, solid-state drives and flash drives, to accelerate relatively slow storage. Setup caching and accelerate storage in just few simple clicks! Special features such as multiple caching strategies, different writing modes, individual read/write space and individual volume control, make caching flexible to various scenarios.
    Starting Price: $29.95 per computer
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    KeyDB

    KeyDB

    KeyDB

    KeyDB maintains full compatibility with Redis modules, API and protocol. Seamlessly drop in KeyDB and maintain full compatibility with your existing clients, scripts and configurations. Multi-Master mode uses a single replicated dataset across many nodes to serve both read and write operations Nodes can be replicated cross-region to offer submillisecond latencies to local clients. Cluster mode allows unlimited read and write scaling by splitting the dataset across shards. This allows unlimited scaling, and also support high availability through replica nodes. KeyDB offers new community driven commands that enable you to do more with your data. Add your own commands and functionality using JavaScript with the ModJS module. ModJS lets you write functions in javascript that can in turn be called directly by KeyBD. The example to the left shows and example of a javascript function that would be loaded with the module. It can then be called directly from your client.
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    Exasol

    Exasol

    Exasol

    With an in-memory, columnar database and MPP architecture, you can query billions of rows in seconds. Queries are distributed across all nodes in a cluster, providing linear scalability for more users and advanced analytics. MPP, in-memory, and columnar storage add up to the fastest database built for data analytics. With SaaS, cloud, on premises and hybrid deployment options you can analyze data wherever it lives. Automatic query tuning reduces maintenance and overhead. Seamless integrations and performance efficiency gets you more power at a fraction of normal infrastructure costs. Smart, in-memory query processing allowed this social networking company to boost performance, processing 10B data sets a year. A single data repository and speed engine to accelerate critical analytics, delivering improved patient outcome and bottom line.
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    ScyllaDB

    ScyllaDB

    ScyllaDB

    ScyllaDB is the database for data-intensive apps that require high performance and low latency. It enables teams to harness the ever-increasing computing power of modern infrastructures – eliminating barriers to scale as data grows. Unlike any other database, ScyllaDB is a distributed NoSQL database fully compatible with Apache Cassandra and Amazon DynamoDB, yet is built with deep architectural advancements that enable exceptional end-user experiences at radically lower costs. Over 400 game-changing companies like Disney+ Hotstar, Expedia, FireEye, Discord, Zillow, Starbucks, Comcast, and Samsung use ScyllaDB for their toughest database challenges. ScyllaDB is available as free open source software, a fully-supported enterprise product, and a fully managed database-as-a-service (DBaaS) on multiple cloud providers.
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    Lenovo ThinkAgile HX Series
    Designed for easy deployment and manageability, Lenovo ThinkAgile HX combines Nutanix software with Lenovo's #1 reliable, high performing platforms. The ThinkAgile HX1021 certified node is a purpose-built Edge solution with right-sized compute and storage on a 1U height, half-width, and short-depth form factor meeting customer needs at remote locations. The condensed design of the solution allows new compute possibilities directly where data is being generated such as a retail, manufacturing units, gas stations, restaurants, healthcare, and education. Now enhanced with new second-generation Intel processors for even faster performance, the ThinkAgile HX portfolio is optimized for a broad set of virtualized workloads, including Remote Office Branch Office; file, print, and email applications; analytics; and in-memory databases. Lenovo platforms hold the highest number of performance world records and have ranked #1 in reliability for six consecutive years.
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    LedisDB

    LedisDB

    LedisDB

    Ledisdb is a high-performance NoSQL database library and server written in Go. It's similar to Redis but store data in disk. It supports many data structures including kv, list, hash, zset, set. LedisDB now supports multiple different databases as backends.
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    Memgraph

    Memgraph

    Memgraph

    Memgraph is a high-performance, in-memory graph database that powers real-time AI context. It serves as the graph engine for GraphRAG pipelines, AI memory systems, and agentic workflows - delivering sub-millisecond multi-hop traversals with full provenance for any system that needs structured, connected context alongside semantic search. The same architecture that makes Memgraph the context layer for AI also drives real-time graph analytics across fraud detection, network analysis, infrastructure monitoring, and other operational use cases where speed and connectivity matter.
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    Squid

    Squid

    Squid

    Squid is a caching proxy for the Web supporting HTTP, HTTPS, FTP, and more. It reduces bandwidth and improves response times by caching and reusing frequently-requested web pages. Squid has extensive access controls and makes a great server accelerator. It runs on most available operating systems, including Windows, and is licensed under the GNU GPL. Squid is used by hundreds of Internet Providers worldwide to provide their users with the best possible web access. Squid optimizes the data flow between client and server to improve performance and caches frequently-used content to save bandwidth. Squid can also route content requests to servers in a wide variety of ways to build cache server hierarchies that optimize network throughput. Thousands of websites around the Internet use Squid to drastically increase their content delivery. Squid can reduce your server load and improve delivery speeds to clients.
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    Cachify

    Cachify

    Cachify

    Cachify optimizes your page loads by caching posts, pages and custom post types as static content. You can choose between caching via database, on the web server’s hard drive (HDD), or—thanks to APC (Alternative PHP Cache)—directly in the web server’s system cache. Whenever a page or post is loaded, it can be pulled directly from the cache. The amount of database queries and PHP requests will dramatically decrease towards zero, depending on the caching method you chose. With an increasing number of dynamic widgets, templates and plugins, a WordPress blog tends to become sluggish. With the load of the visitors ramp accumulates the accesses to the database, the server has to deal with the processing of flexible areas proportionally more. A delay in delivery of the web pages is the result of the load. Cachify has been developed especially for small to medium sized projects: smart, clear cache plugin, which temporarily stores page contents in a static form and delivers performance-gently.
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    CacheFly

    CacheFly

    CacheFly

    Deliver your rich media on the network with the best throughput and global reach, making your content infinitely scalable. Go live in hours, not days, on CacheFly's existing worldwide infrastructure. CacheFly has optimized its network for throughput and time to last byte with a focus on digital platforms. For live video and audio, CacheFly offers an ultra-low latency streaming solution with sub-second latency. For two decades, CacheFly has built best-in-class delivery solutions for gaming, video, e-learning, audio, and software platforms. CacheFly helps you offer the highest QoE with scalable CDN solutions on the fastest global network - no matter where your users sit.
    Starting Price: $595 per month
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    TcaplusDB

    TcaplusDB

    Tencent

    TcaplusDB is a distributed NoSQL data storage service designed for games. Combining high-speed memory and SSDs, TcaplusDB enables games on global and regional servers to scale and merge with no downtime, making it suitable for sustaining rapid business growth and long-tail OPS. It also comes equipped with a comprehensive set of features, including high availability, disaster recovery, backup, and rollback, ensuring 24/7 data storage with 99.999% reliability. TcaplusDB features LRU-based hot/cold data exchange for the memory and disks, data storage in SSDs, and multi-server data distribution, which guarantee maximum performance and enable a single PC server to process 100,000 queries per second. TcaplusDB can be called using APIs and provides web-based common operations such as adding, changing, and deleting tables and purging data. Moreover, OPS tasks like scaling and backup are automated.
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    Yandex Cloud CDN
    Decrease load times for your services' media content by leveraging content caching on geographically distributed CDN servers. CDN servers located all over the world get content from your origins, cache, and deliver it to end users upon request. Group servers hosting the same content to distribute your load more efficiently and deliver content even faster. Set up content caching for CDN servers and browsers, set the lifetime for file copies, and preload large files before they are even requested. In Yandex Cloud CDN, you can analyze metrics of downloaded and sent traffic and the number of requests and errors over the past 30 days.
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    NGINX
    NGINX Open Source: The open source web server that powers more than 400 million websites. NGINX Plus is a software load balancer, web server, and content cache built on top of open source NGINX. Use NGINX Plus instead of your hardware load balancer and get the freedom to innovate without being constrained by infrastructure. Save more than 80% compared to hardware ADCs, without sacrificing performance or functionality. Deploy anywhere: public cloud, private cloud, bare metal, virtual machines, and containers. Save time by performing common tasks through the built‑in NGINX Plus API. From NetOps to DevOps, modern app teams need a self‑service, API‑driven platform that integrates easily into CI/CD workflows to accelerate app deployment – whether your app has a hybrid or microservices architecture – and makes app lifecycle management easier.
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    Valkey

    Valkey

    Valkey

    ​Valkey is an open source high-performance key/value datastore that supports a variety of workloads, such as caching, message queues, and can act as a primary database. It is backed by the Linux Foundation, ensuring it will remain open source forever. Valkey can run as either a standalone daemon or in a cluster, with options for replication and high availability. It natively supports a rich collection of datatypes, including strings, numbers, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs, and more. You can operate on data structures in-place with an expressive collection of commands. Valkey also supports native extensibility with built-in scripting support for Lua and supports module plugins to create new commands, data types, and more. Valkey 8.1 introduces several performance improvements that reduce latency, increase throughput, and lower memory usage.
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    Apache Traffic Server

    Apache Traffic Server

    Apache Software Foundation

    Apache Traffic Server™ software is a fast, scalable and extensible HTTP/1.1 and HTTP/2 compliant caching proxy server. Formerly a commercial product, Yahoo! donated it to the Apache Foundation, and currently used by several major CDNs and content owners. Improve your response time, while reducing server load and bandwidth needs by caching and reusing frequently-requested web pages, images, and web service calls. Scales well on modern SMP hardware, handling 10s of thousands of requests per second. Easily add keep-alive, filter or anonymize content requests, or add load balancing by adding a proxy layer. APIs to write your own plug-ins to do anything from modifying HTTP headers to handling ESI requests to writing your own cache algorithm. Handling over 400TB a day at Yahoo! both as forward and reverse proxies, Apache Traffic Server is battle hardened.
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    OrigoDB

    OrigoDB

    Origo

    OrigoDB enables you to build high quality, mission critical systems with real-time performance at a fraction of the time and cost. This is not marketing gibberish! Please read on for a no nonsense description of our features. Get in touch if you have questions or download and try it out today! In-memory operations are orders of magnitude faster than disk operations. A single OrigoDB engine can execute millions of read transactions per second and thousands of write transactions per second with synchronous command journaling to a local SSD. This is the #1 reason we built OrigoDB. A single object oriented domain model is far simpler than the full stack including a relational model, object/relational mapping, data access code, views and stored procedures. That's a lot of waste that can be eliminated! The OrigoDB engine is 100% ACID out of the box. Commands execute one at a time, transitioning the in-memory model from one consistent state to the next.
    Starting Price: €200 per GB RAM per server