DBMS > Memcached vs. MongoDB vs. Oracle Coherence

System Properties Comparison Memcached vs. MongoDB vs. Oracle Coherence

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Editorial information provided by DB-Engines

Name

Description

In-memory key-value store, originally intended for caching

One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure

Oracles in-memory data grid solution

Primary database model

Key-value store

Document store

Key-value store

Secondary database models

Search engine info

integrated Lucene index, currently in MongoDB Atlas only.

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	26.34
Rank	#27	Overall
	#4	Key-value stores

Score	446.48
Rank	#5	Overall
	#1	Document stores

Score	2.94
Rank	#99	Overall
	#20	Key-value stores

Website

www.memcached.org

www.mongodb.com

www.oracle.com/technetwork/middleware/coherence/overview/index.html

Technical documentation

github.com/memcached/memcached/wiki

docs.mongodb.com/manual

www.oracle.com/technetwork/middleware/coherence/documentation/index.html

Developer

Danga Interactive info

originally developed by Brad Fitzpatrick for LiveJournal

MongoDB, Inc

Oracle

Initial release

2003

2009

2007

Current release

1.6.0, March 2020

4.4.1, September 2020

12c, September 2016

License

Commercial or Open Source

Open Source info

BSD license

Open Source info

MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.

commercial

Cloud-based only info

Only available as a cloud service

MongoDB available as DBaaS (MongoDB Atlas)

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

MongoDB Atlas: the global and fully-managed cloud database service from the makers of MongoDB. Deploy across AWS, Azure, or GCP.
ScaleGrid for MongoDB: Fully managed hosting for MongoDB database on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.

Implementation language

C++

Java

Server operating systems

FreeBSD
Linux
OS X
Unix
Windows

Linux
OS X
Solaris
Windows

All OS with a Java VM

Data scheme

schema-free

schema-free info

Although schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.

schema-free

Typing

predefined data types such as float or date

yes

string, integer, double, decimal, boolean, date, object_id, geospatial

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

Read-only SQL queries via the MongoDB Connector for BI

APIs and other access methods

Proprietary protocol

proprietary protocol using JSON

JCache
JPA
RESTful HTTP API

Supported programming languages

.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby

Actionscript info

inofficial driver
C
C#
C++
Clojure info

inofficial driver
ColdFusion info

inofficial driver
D info

inofficial driver
Dart info

inofficial driver
Delphi info

inofficial driver
Erlang
Go
Groovy info

inofficial driver
Haskell
Java
JavaScript
Lisp info

inofficial driver
Lua info

inofficial driver
MatLab info

inofficial driver
Perl
PHP
PowerShell info

inofficial driver
Prolog info

inofficial driver
Python
R info

inofficial driver
Ruby
Rust
Scala
Smalltalk info

inofficial driver
Swift

.Net
C++
Java

Server-side scripts info

Stored procedures

JavaScript

Triggers

yes

in MongoDB Atlas only

yes

Live Events

Partitioning methods info

Methods for storing different data on different nodes

none

Sharding

partitioned by hashed, ranged, or zoned sharding keys

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

none

Repcached, a Memcached patch, provides this functionallity

Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency info

can be individually decided for each write operation

Eventual Consistency
Immediate Consistency

Foreign keys info

Referential integrity

typically not used, however similar functionality with DBRef possible

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

Multi-document ACID Transactions with snapshot isolation

configurable

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

optional

yes

optionally

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

yes

In-memory storage engine introduced with MongoDB version 3.2

yes

User concepts info

Access control

yes

using SASL (Simple Authentication and Security Layer) protocol

Access rights for users and roles

authentification to access the cache via certificates or http basic authentication

More information provided by the system vendor

Specific characteristics

MongoDB is the leading modern, general purpose data platform, designed to unleash...
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Competitive advantages

The MongoDB platform can be used by developers building transactional, operational,...
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Typical application scenarios

Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
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Key customers

ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
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Market metrics

125 million downloads (growing at more than 30 thousand downloads per day), over...
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Licensing and pricing models

MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.