DBMS > Cassandra vs. CouchDB vs. Newts vs. RDF4J

System Properties Comparison Cassandra vs. CouchDB vs. Newts vs. RDF4J

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Editorial information provided by DB-Engines

Name

Description

Wide-column store based on ideas of BigTable and DynamoDB info

Optimized for write access

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

Time Series DBMS based on Cassandra

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

Primary database model

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

Score	120.71
Rank	#10	Overall
	#1	Wide column stores

Score	18.12
Rank	#34	Overall
	#5	Document stores

Score	0.04
Rank	#322	Overall
	#29	Time Series DBMS

Score	0.40
Rank	#219	Overall
	#10	RDF stores

Website

cassandra.apache.org

couchdb.apache.org

opennms.github.io/newts

rdf4j.org

Technical documentation

cassandra.apache.org/doc/latest

docs.couchdb.org/en/stable

github.com/OpenNMS/newts/wiki

docs.rdf4j.org

Developer

Apache Software Foundation info

Apache top level project, originally developped by Facebook

Apache Software Foundation info

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

OpenNMS Group

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

Initial release

2008

2005

2014

2004

Current release

3.11.5, October 2019

2.3.1, March 2019

License

Commercial or Open Source

Open Source info

Apache version 2

Open Source info

Apache version 2

Open Source info

Apache 2.0

Open Source info

Eclipse Distribution License (EDL), v1.0.

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

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

Implementation language

Java

Erlang

Java

Server operating systems

BSD
Linux
OS X
Windows

Android
BSD
Linux
OS X
Solaris
Windows

Linux
OS X
Windows

Linux
OS X
Unix
Windows

Data scheme

schema-free

yes

RDF Schemas

Typing

predefined data types such as float or date

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

restricted info

only equality queries, not always the best performing solution

yes

via views

yes

SQL

Support of SQL

SQL-like SELECT, DML and DDL statements (CQL)

APIs and other access methods

Proprietary protocol info

CQL (Cassandra Query Language, an SQL-like language)
Thrift

RESTful HTTP/JSON API

HTTP REST
Java API

Java API
RIO info

RDF Input/Output
Sail API
SeRQL info

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

Supported programming languages

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript info

Node.js
Perl
PHP
Python
Ruby
Scala

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

Java

Java
PHP
Python

Server-side scripts info

Stored procedures

View functions in JavaScript

yes

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

no "single point of failure"

Sharding

improved architecture with release 2.0

Sharding

based on Cassandra

none

Replication methods info

Methods for redundantly storing data on multiple nodes

selectable replication factor info

Representation of geographical distribution of servers is possible

Master-master replication
Master-slave replication

selectable replication factor info

based on Cassandra

none

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

Eventual Consistency info

based on Cassandra
Immediate Consistency info

based on Cassandra

Foreign keys info

Referential integrity

Transaction concepts info

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

Atomicity and isolation are supported for single operations

atomic operations within a single document possible

ACID

Isolation support depends on the API used

Concurrency info

Support for concurrent manipulation of data

yes

strategy: optimistic locking

yes

Durability info

Support for making data persistent

yes

in-memory storage is supported as well

In-memory capabilities info

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

User concepts info

Access control

Access rights for users can be defined per object

Access rights for users can be defined per database

More information provided by the system vendor

Specific characteristics

Apache Cassandra is the leading NoSQL, distributed database management system, well...
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Competitive advantages

No single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenarios

Internet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customers

Apple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Market metrics

Cassandra is used by 40% of the Fortune 100.
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Licensing and pricing models

Apache licenseÂ Pricing for commercial distributions provided by DataStax and available...
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