DBMS > Bangdb vs. BigchainDB vs. jBASE vs. KairosDB vs. Newts

System Properties Comparison Bangdb vs. BigchainDB vs. jBASE vs. KairosDB vs. Newts

Editorial information provided by DB-Engines

Name

Description

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

BigchainDB is scalable blockchain database offering decentralization, immutability and native assets

A robust multi-value DBMS comprising development tools and middleware

Distributed Time Series DBMS based on Cassandra or H2

Time Series DBMS based on Cassandra

Primary database model

Document store
Graph DBMS
Time Series DBMS

Document store

Multivalue DBMS

Time Series DBMS

Secondary database models

Spatial DBMS

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

Score	0.16
Rank	#338	Overall
	#47	Document stores
	#32	Graph DBMS
	#31	Time Series DBMS

Score	0.85
Rank	#208	Overall
	#35	Document stores

Score	1.49
Rank	#156	Overall
	#3	Multivalue DBMS

Score	0.67
Rank	#233	Overall
	#20	Time Series DBMS

Score	0.07
Rank	#375	Overall
	#41	Time Series DBMS

Website

bangdb.com

www.bigchaindb.com

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-jbase

github.com/kairosdb/kairosdb

opennms.github.io/newts

Technical documentation

docs.bangdb.com

bigchaindb.readthedocs.io/en/latest

docs.rocketsoftware.com/bundle?labelkey=jbase_5.9

kairosdb.github.io

github.com/OpenNMS/newts/wiki

Developer

Sachin Sinha, BangDB

Rocket Software (formerly Zumasys)

OpenNMS Group

Initial release

2012

2016

1991

2013

2014

Current release

BangDB 2.0, October 2021

5.7

1.2.2, November 2018

License

Commercial or Open Source

Open Source

BSD 3

Open Source

AGPL v3

commercial

Open Source

Apache 2.0

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C, C++

Python

Java

Server operating systems

Linux

AIX
Linux
Windows

Linux
OS X
Windows

Data scheme

schema-free

Typing

predefined data types such as float or date

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

optional

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.

yes

Secondary indexes

yes

secondary, composite, nested, reverse, geospatial

SQL

Support of SQL

SQL like support with command line tool

Embedded SQL for jBASE in BASIC

APIs and other access methods

Proprietary protocol
RESTful HTTP API

CLI Client
RESTful HTTP API

JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API

Graphite protocol
HTTP REST
Telnet API

HTTP REST
Java API

Supported programming languages

C
C#
C++
Java
Python

Go
Haskell
Java
JavaScript
Python
Ruby

.Net
Basic
Jabbascript
Java

Java
JavaScript

Node.js
PHP
Python

Java

Server-side scripts

Stored procedures

yes

Triggers

yes, Notifications (with Streaming only)

yes

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

based on Cassandra

Sharding

based on Cassandra

Replication methods

Methods for redundantly storing data on multiple nodes

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

selectable replication factor

yes

selectable replication factor

based on Cassandra

selectable replication factor

based on Cassandra

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable consistency, set CAP knob accordingly

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Foreign keys

Referential integrity

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes, optimistic concurrency control

yes

Durability

Support for making data persistent

yes, implements WAL (Write ahead log) as well

yes,with MongoDB ord RethinkDB

yes

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

yes

User concepts

Access control

yes (enterprise version only)

yes

Access rights can be defined down to the item level

simple password-based access control

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