DBMS > CouchDB vs. Machbase vs. MarkLogic vs. PouchDB vs. RethinkDB

System Properties Comparison CouchDB vs. Machbase vs. MarkLogic vs. PouchDB vs. RethinkDB

Editorial information provided by DB-Engines

Name

Description

A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.

TimeSeries DBMS for IoT and BigData

Operational and transactional Enterprise NoSQL database

JavaScript DBMS with an API inspired by CouchDB

DBMS for the Web with a mechanism to push updated query results to applications in realtime.

Primary database model

Document store

Time Series DBMS

Document store
Native XML DBMS
RDF store

as of version 7
Search engine

Document store

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

Score	16.35
Rank	#35	Overall
	#5	Document stores

Score	0.25
Rank	#267	Overall
	#21	Time Series DBMS

Score	10.07
Rank	#42	Overall
	#7	Document stores
	#1	Native XML DBMS
	#1	RDF stores
	#4	Search engines

Score	3.50
Rank	#89	Overall
	#17	Document stores

Score	4.17
Rank	#82	Overall
	#14	Document stores

Website

Technical documentation

docs.couchdb.org/en/stable

Developer

Apache Software Foundation

Apache top-level project, originally developed by Damien Katz, a former Lotus Notes developer

Machbase

MarkLogic Corp.

Apache Software Foundation

The Linux Foundation

since July 2017

Initial release

2005

2013

2001

2012

2009

Current release

3.1.1 , September 2020

V4.0

9.0, 2017

7.1.1, June 2019

2.4.1, August 2020

License

Commercial or Open Source

Open Source

Apache version 2

commercial

free test version available

commercial

restricted free version is available

Open Source

Apache Version 2

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Erlang

C++

JavaScript

C++

Server operating systems

Android
BSD
Linux
OS X
Solaris
Windows

Linux
Windows

Linux
OS X
Windows

server-less, requires a JavaScript environment (browser, Node.js)

Linux
OS X
Windows

Data scheme

schema-free

yes

schema-free

Schema can be enforced

schema-free

Typing

predefined data types such as float or date

yes

string, binary, float, bool, date, geometry

XML support

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

yes

Secondary indexes

yes

via views

yes

via views

yes

SQL

Support of SQL

SQL-like query language

yes

SQL92

APIs and other access methods

RESTful HTTP/JSON API

HTTP REST
JDBC
ODBC

Java API
Node.js Client API
ODBC
proprietary Optic API

Proprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT

HTTP REST

only for PouchDB Server
JavaScript API

Supported programming languages

C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk

C
C#
C++
Java
JavaScript
PHP

via ODBC
Python
R

via ODBC
Scala

C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

JavaScript

community-supported driver
C#

community-supported driver
C++

community-supported driver
Clojure

community-supported driver
Dart

community-supported driver
Erlang

community-supported driver
Go

community-supported driver
Haskell

community-supported driver
Java

official driver
JavaScript (Node.js)

official driver
Lisp

community-supported driver
Lua

community-supported driver
Objective-C

community-supported driver
Perl

community-supported driver
PHP

community-supported driver
Python

official driver
Ruby

official driver
Scala

community-supported driver

Server-side scripts

Stored procedures

View functions in JavaScript

yes

via XQuery or JavaScript

View functions in JavaScript

Triggers

yes

Client-side triggers through changefeeds

Partitioning methods

Methods for storing different data on different nodes

Sharding

improved architecture with release 2.0

Sharding

with a proxy-based framework, named couchdb-lounge

Sharding

range based

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

selectable replication factor

yes

Multi-source replication

also with CouchDB databases
Source-replica replication

also with CouchDB databases

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

atomic operations within a single document possible

ACID

can act as a resource manager in an XA/JTA transaction

Atomic single-document operations

Concurrency

Support for concurrent manipulation of data

yes

strategy: optimistic locking

yes

MVCC based

Durability

Support for making data persistent

yes

by using IndexedDB, WebSQL or LevelDB as backend

yes

In-memory capabilities

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

yes

volatile and lookup table

yes, with Range Indexes

yes

User concepts

Access control

Access rights for users can be defined per database

simple password-based access control

Role-based access control at the document and subdocument levels

yes

users and table-level permissions

More information provided by the system vendor

Specific characteristics

Machbase is an extremely fast time series database which processes large volumes...
» more

The MarkLogic Multi-Model Database provides the simplest way to integrate data from...
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Competitive advantages

Fastest Database for IIoT, Independently verified, on Industry Standard Benchmarks....
» more

The main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more

Typical application scenarios

Distributed Query In Machbase Cluster Edition, a broker node, which is responsible...
» more

MarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more

Key customers

Samsung, POSCO, Hyundai
» more

MarkLogic has proven results managing mission-critical data with over 1,000 global...
» more

Market metrics

Real-time data processing Real-time index creation Optimized DBMS for processing...
» more

MarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more

Licensing and pricing models

Machbase provide several product editions, including: Intelligent Edge Device, Fog...
» more

MarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

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