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  1. Stackups
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  4. Databases
  5. ActiveMQ vs CouchDB

ActiveMQ vs CouchDB

OverviewDecisionsComparisonAlternatives

Overview

CouchDB
CouchDB
Stacks529
Followers584
Votes139
GitHub Stars6.7K
Forks1.1K
ActiveMQ
ActiveMQ
Stacks880
Followers1.3K
Votes77
GitHub Stars2.4K
Forks1.5K

ActiveMQ vs CouchDB: What are the differences?

What is ActiveMQ? A message broker written in Java together with a full JMS client. 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.

What is CouchDB? HTTP + JSON document database with Map Reduce views and peer-based replication. Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.

ActiveMQ and CouchDB are primarily classified as "Message Queue" and "Databases" tools respectively.

"Open source" is the primary reason why developers consider ActiveMQ over the competitors, whereas "JSON" was stated as the key factor in picking CouchDB.

ActiveMQ and CouchDB are both open source tools. It seems that CouchDB with 4.24K GitHub stars and 835 forks on GitHub has more adoption than ActiveMQ with 1.51K GitHub stars and 1.05K GitHub forks.

BrightMachine, Bit Zesty, and Meltwater are some of the popular companies that use CouchDB, whereas ActiveMQ is used by Intuit, Wix, and SoFi. CouchDB has a broader approval, being mentioned in 61 company stacks & 32 developers stacks; compared to ActiveMQ, which is listed in 33 company stacks and 17 developer stacks.

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Advice on CouchDB, ActiveMQ

Gabriel
Gabriel

CEO at Naologic

Jan 2, 2020

DecidedonCouchDBCouchDBCouchbaseCouchbaseMemcachedMemcached

We implemented our first large scale EPR application from naologic.com using CouchDB .

Very fast, replication works great, doesn't consume much RAM, queries are blazing fast but we found a problem: the queries were very hard to write, it took a long time to figure out the API, we had to go and write our own @nodejs library to make it work properly.

It lost most of its support. Since then, we migrated to Couchbase and the learning curve was steep but all worth it. Memcached indexing out of the box, full text search works great.

592k views592k
Comments

Detailed Comparison

CouchDB
CouchDB
ActiveMQ
ActiveMQ

Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.

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.

Terrific single-node database; Clustered database ; HTTP/JSON; Offline first data sync
Protect your data & Balance your Load; Easy enterprise integration patterns; Flexible deployment
Statistics
GitHub Stars
6.7K
GitHub Stars
2.4K
GitHub Forks
1.1K
GitHub Forks
1.5K
Stacks
529
Stacks
880
Followers
584
Followers
1.3K
Votes
139
Votes
77
Pros & Cons
Pros
  • 43
    JSON
  • 30
    Open source
  • 18
    Highly available
  • 12
    Partition tolerant
  • 11
    Eventual consistency
Pros
  • 18
    Easy to use
  • 14
    Open source
  • 13
    Efficient
  • 10
    JMS compliant
  • 6
    High Availability
Cons
  • 1
    ONLY Vertically Scalable
  • 1
    Low resilience to exceptions and interruptions
  • 1
    Difficult to scale
  • 1
    Support

What are some alternatives to CouchDB, 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.

Memcached

Memcached

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.

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.

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