Key-Value Stores

Memcached

Memcached is an open-source, high-performance, distributed memory object caching system. It is designed to speed up dynamic web applications by alleviating database load through caching data and objects in RAM. It operates as an in-memory key-value store for small chunks of arbitrary data, such as strings, objects, or results of database calls.

Also known as: Memcache, Memcached Server, Memory Cache, MC, Memcached Daemon

🧊Why learn Memcached?

Developers should use Memcached when building high-traffic web applications that require fast data access, such as e-commerce sites, social networks, or real-time analytics platforms. It is particularly useful for caching frequently accessed data like session information, API responses, or database query results to reduce latency and improve scalability. Learning Memcached is essential for optimizing performance in distributed systems where reducing database hits is critical.

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Compare Memcached

Memcached vs Redis→Memcached vs Hazelcast→Memcached vs Apache Ignite→

Learning Resources

Memcached Official Documentation

Memcached Tutorial on TutorialsPoint

Caching with Memcached - FreeCodeCamp Article

Memcached Crash Course on YouTube

High Performance Browser Networking Book (Chapter on Caching)

Related Tools

Redis Distributed Caching Key Value Store Performance Optimization Nosql

Alternatives to Memcached

Redis Hazelcast Apache Ignite

Other Key-Value Stores

Always On Availability Groups

Always On Availability Groups is a high-availability and disaster recovery solution in Microsoft SQL Server that provides database-level failover for groups of databases. It allows multiple copies of a set of databases (availability replicas) to be maintained across different servers, ensuring data redundancy and automatic failover in case of primary server failure. This feature supports both synchronous and asynchronous data replication modes to balance performance and data protection needs.

Amazon Aurora is a fully managed, MySQL and PostgreSQL-compatible relational database service built for the cloud. It combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases, offering up to five times the throughput of standard MySQL and three times that of PostgreSQL. Aurora automatically handles tasks like hardware provisioning, database setup, patching, backups, and replication, while providing high durability and availability through distributed, fault-tolerant, self-healing storage.

Amazon Aurora Provisioned

Amazon Aurora Provisioned is a fully managed relational database service from AWS that offers high performance, scalability, and availability with MySQL and PostgreSQL compatibility. It uses a distributed, fault-tolerant storage system that automatically scales up to 128 TB per database instance, providing fast read replicas and continuous backup to Amazon S3. This provisioned model requires users to pre-allocate and pay for database instance capacity, making it suitable for predictable workloads.

Amazon Aurora Serverless

Amazon Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora, a MySQL and PostgreSQL-compatible relational database built for the cloud. It automatically starts up, shuts down, and scales capacity up or down based on application demand, eliminating the need to manage database instances. This serverless model is designed for applications with intermittent, unpredictable, or variable workloads.

Amazon Aurora Serverless

Amazon Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora, a MySQL and PostgreSQL-compatible relational database built for the cloud. It automatically starts up, shuts down, and scales capacity up or down based on application demand, eliminating the need to manage database instances. This serverless model is designed for applications with intermittent, unpredictable, or variable workloads.

Amazon DynamoDB

Amazon DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS) that offers fast and predictable performance with seamless scalability. It supports key-value and document data models, automatically replicates data across multiple Availability Zones for high availability and durability, and provides built-in security, backup, and in-memory caching capabilities.