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

ActiveMQ vs Memcached

OverviewComparisonAlternatives

Overview

Memcached
Memcached
Stacks7.9K
Followers5.7K
Votes473
GitHub Stars14.0K
Forks3.3K
ActiveMQ
ActiveMQ
Stacks880
Followers1.3K
Votes77
GitHub Stars2.4K
Forks1.5K

ActiveMQ vs Memcached: What are the differences?

Introduction: ActiveMQ and Memcached are two popular tools used in software development for messaging and caching purposes, respectively.

  1. Data Types Handling: In ActiveMQ, various types of data can be stored and exchanged, including messages, objects, and files, whereas Memcached mainly focuses on caching key-value pairs, usually for speeding up web applications by storing frequently accessed data.

  2. Persistence: ActiveMQ provides features for persistent messages storage, ensuring data integrity even during system failures, while Memcached is purely in-memory caching system, meaning data is not permanently stored on disk and can be lost upon restart.

  3. Protocol Support: ActiveMQ supports multiple messaging protocols such as OpenWire, STOMP, AMQP, and MQTT, making it versatile for different types of messaging requirements, whereas Memcached uses its custom protocol and is specifically designed for high-performance caching.

  4. Use Case: ActiveMQ is typically used for asynchronous messaging between different components of a system or application, enabling decoupled communication and scalability, while Memcached is commonly used for caching frequently accessed data to reduce load on backend databases and improve application performance.

  5. Scalability: ActiveMQ can be configured in a distributed architecture with multiple brokers for load balancing and high availability, making it suitable for handling large volumes of messages in enterprise environments, whereas Memcached can be easily scaled horizontally by adding more servers to accommodate increasing cache demands.

  6. Language Support: ActiveMQ provides client libraries for various programming languages such as Java, C/C++, Python, .NET, etc., enabling developers to integrate messaging capabilities into applications written in different languages, while Memcached has client libraries for popular languages like PHP, Python, Java, and Ruby, making it easier to implement caching in diverse systems.

In Summary, ActiveMQ and Memcached differ in handling data types, persistence, protocol support, use cases, scalability, and language support, catering to distinct requirements in messaging and caching domains.

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Detailed Comparison

Memcached
Memcached
ActiveMQ
ActiveMQ

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.

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

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Protect your data & Balance your Load; Easy enterprise integration patterns; Flexible deployment
Statistics
GitHub Stars
14.0K
GitHub Stars
2.4K
GitHub Forks
3.3K
GitHub Forks
1.5K
Stacks
7.9K
Stacks
880
Followers
5.7K
Followers
1.3K
Votes
473
Votes
77
Pros & Cons
Pros
  • 139
    Fast object cache
  • 129
    High-performance
  • 91
    Stable
  • 65
    Mature
  • 33
    Distributed caching system
Cons
  • 2
    Only caches simple types
Pros
  • 18
    Easy to use
  • 14
    Open source
  • 13
    Efficient
  • 10
    JMS compliant
  • 6
    High Availability
Cons
  • 1
    Low resilience to exceptions and interruptions
  • 1
    Difficult to scale
  • 1
    ONLY Vertically Scalable
  • 1
    Support

What are some alternatives to Memcached, ActiveMQ?

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.

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

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.

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