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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. McRouter vs Memcached

McRouter vs Memcached

OverviewComparisonAlternatives

Overview

Memcached
Memcached
Stacks7.9K
Followers5.7K
Votes473
GitHub Stars14.0K
Forks3.3K
McRouter
McRouter
Stacks20
Followers64
Votes0
GitHub Stars3.3K
Forks550

McRouter vs Memcached: What are the differences?

Introduction

Markdown is a lightweight markup language that is widely used for formatting text on websites. In this task, we will format the provided information about the key differences between McRouter and Memcached as Markdown code that can be easily used in a website.

  1. Scalability: McRouter is designed to handle scalability challenges in large-scale systems, providing a way to distribute requests across multiple Memcached instances. On the other hand, Memcached is not inherently scalable and requires manual sharding or partitioning for handling a high volume of requests.

  2. Caching Logic: McRouter provides a flexible way to define and change caching logic without making changes to the client code. It allows for custom cache routing based on key patterns, enabling more efficient cache utilization. In contrast, in Memcached, the caching logic is limited to simple get, set, and delete operations, without the ability to define custom cache routing.

  3. Multi-Level Caching: McRouter supports multi-level caching, where multiple layers of caching can be configured to optimize cache hit rates and reduce response time. This allows for the efficient utilization of hot data at different levels of caching. On the other hand, Memcached only provides a single level of caching without built-in support for multi-level caching.

  4. Monitoring and Metrics: McRouter provides built-in monitoring and metrics capabilities, allowing for real-time visibility into cache performance. It offers features like request tracking, latency measurement, and hit/miss ratio reporting. In contrast, Memcached lacks advanced monitoring and metrics capabilities, requiring additional tools or custom implementations for performance monitoring.

  5. Reliability and Failure Handling: McRouter includes features like automatic failover, support for consistent hashing, and replica management, improving reliability and failure handling in distributed caching environments. Conversely, Memcached does not include these features, making it less resilient to failures and requiring manual intervention for failover scenarios.

  6. Integration with Other Systems: McRouter offers seamless integration with other systems and services like databases, load balancers, or content delivery networks (CDNs), enabling advanced caching strategies and optimizations. On the other hand, Memcached is designed as a standalone caching system and does not provide native integration capabilities.

In summary, McRouter differs from Memcached in terms of scalability, caching logic flexibility, multi-level caching support, monitoring capabilities, reliability, and integration with other systems, providing a more comprehensive solution for distributed caching requirements.

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Detailed Comparison

Memcached
Memcached
McRouter
McRouter

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

Mcrouter is a memcached protocol router for scaling memcached deployments. It's a core component of cache infrastructure at Facebook and Instagram where mcrouter handles almost 5 billion requests per second at peak.

-
Memcached ASCII protocol;Connection pooling;Multiple hashing schemes;Prefix routing;Replicated pools;Production traffic shadowing;Online reconfiguration;Flexible routing;Destination health monitoring/automatic failover;Cold cache warm up;Broadcast operations;Reliable delete stream;Multi-cluster support;Rich stats and debug commands;Quality of service;Large values;Multi-level caches;IPv6 support;SSL support
Statistics
GitHub Stars
14.0K
GitHub Stars
3.3K
GitHub Forks
3.3K
GitHub Forks
550
Stacks
7.9K
Stacks
20
Followers
5.7K
Followers
64
Votes
473
Votes
0
Pros & Cons
Pros
  • 139
    Fast object cache
  • 129
    High-performance
  • 91
    Stable
  • 65
    Mature
  • 33
    Distributed caching system
Cons
  • 2
    Only caches simple types
No community feedback yet
Integrations
No integrations available
HHVM (HipHop Virtual Machine)
HHVM (HipHop Virtual Machine)

What are some alternatives to Memcached, McRouter?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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