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DBMS > Bangdb vs. Blazegraph vs. IBM Cloudant vs. SQL.JS

System Properties Comparison Bangdb vs. Blazegraph vs. IBM Cloudant vs. SQL.JS

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Editorial information provided by DB-Engines

Name

Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.

Description

Converged and high performance database for device data, events, time series, document and graph

High-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.

Database as a Service offering based on Apache CouchDB

Port of SQLite to JavaScript

Primary database model

Document store
Graph DBMS
Time Series DBMS

Graph DBMS
RDF store

Relational DBMS

Secondary database models

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

Score	0.07
Rank	#346	Overall
	#47	Document stores
	#35	Graph DBMS
	#32	Time Series DBMS

Score	0.74
Rank	#217	Overall
	#19	Graph DBMS
	#8	RDF stores

Score	2.85
Rank	#95	Overall
	#18	Document stores

Score	0.53
Rank	#246	Overall
	#115	Relational DBMS

Website

www.ibm.com/products/cloudant

Technical documentation

docs.bangdb.com

wiki.blazegraph.com

cloud.ibm.com/docs/Cloudant

sql.js.org/documentation/index.html

Developer

Sachin Sinha, BangDB

Blazegraph

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

Alon Zakai

enhancements implemented by others

Initial release

2012

2006

2010

2012

Current release

BangDB 2.0, October 2021

2.1.5, March 2019

License

Commercial or Open Source

Open Source

BSD 3

Open Source

extended commercial license available

commercial

Open Source

Cloud-based only

Only available as a cloud service

no

no

yes

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C, C++

Java

Erlang

JavaScript

Server operating systems

Linux

Linux
OS X
Windows

hosted

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

Data scheme

schema-free

schema-free

schema-free

yes

Typing

predefined data types such as float or date

yes: string, long, double, int, geospatial, stream, events

yes

RDF literal types

no

yes

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.

no

no

no

Secondary indexes

yes

secondary, composite, nested, reverse, geospatial

yes

yes

SQL

Support of SQL

SQL like support with command line tool

SPARQL is used as query language

no

yes

SQL-92 is not fully supported

APIs and other access methods

Proprietary protocol
RESTful HTTP API

Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3

RESTful HTTP/JSON API

JavaScript API

Supported programming languages

C
C#
C++
Java
Python

.Net
C
C++
Java
JavaScript
PHP
Python
Ruby

C#
Java
JavaScript
Objective-C
PHP
Ruby

JavaScript

Server-side scripts

Stored procedures

no

yes

View functions (Map-Reduce) in JavaScript

no

Triggers

yes, Notifications (with Streaming only)

no

yes

no

Partitioning methods

Methods for storing different data on different nodes

Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm

Sharding

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor, Knob for CAP (enterprise version only)

yes

Multi-source replication
Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

no

yes

no

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable consistency, set CAP knob accordingly

Immediate Consistency or Eventual Consistency depending on configuration

Eventual Consistency

none

Foreign keys

Referential integrity

no

yes

Relationships in Graphs

no

yes

Transaction concepts

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

ACID

ACID

no

atomic operations within a document possible

ACID

Concurrency

Support for concurrent manipulation of data

yes, optimistic concurrency control

yes

yes

Optimistic locking

Durability

Support for making data persistent

yes, implements WAL (Write ahead log) as well

yes

yes

no

except by serializing a db to a file

In-memory capabilities

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

yes, run db with in-memory only mode

no

yes

User concepts

Access control

yes (enterprise version only)

Security and Authentication via Web Application Container (Tomcat, Jetty)

Access rights for users can be defined per database

no

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More resources

DB-Engines blog posts

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1 December 2014, Matthias Gelbmann

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