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DBMS > Bangdb vs. BigchainDB vs. LeanXcale vs. SQL.JS

System Properties Comparison Bangdb vs. BigchainDB vs. LeanXcale vs. SQL.JS

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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 highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities

Port of SQLite to JavaScript

Primary database model

Document store
Graph DBMS
Time Series DBMS

Key-value store
Relational DBMS

Relational DBMS

Secondary database models

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

Score	0.08
Rank	#347	Overall
	#47	Document stores
	#34	Graph DBMS
	#31	Time Series DBMS

Score	0.79
Rank	#212	Overall
	#36	Document stores

Score	0.29
Rank	#291	Overall
	#41	Key-value stores
	#132	Relational DBMS

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

www.bigchaindb.com

www.leanxcale.com

Technical documentation

docs.bangdb.com

bigchaindb.readthedocs.io/en/latest

sql.js.org/documentation/index.html

Developer

Sachin Sinha, BangDB

LeanXcale

Alon Zakai

enhancements implemented by others

Initial release

2012

2016

2015

2012

Current release

BangDB 2.0, October 2021

License

Commercial or Open Source

Open Source

BSD 3

Open Source

AGPL v3

commercial

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C, C++

Python

JavaScript

Server operating systems

Linux

Linux

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

Data scheme

schema-free

schema-free

yes

yes

Typing

predefined data types such as float or date

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

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

SQL

Support of SQL

SQL like support with command line tool

no

yes

through Apache Derby

yes

SQL-92 is not fully supported

APIs and other access methods

Proprietary protocol
RESTful HTTP API

CLI Client
RESTful HTTP API

JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector

JavaScript API

Supported programming languages

C
C#
C++
Java
Python

Go
Haskell
Java
JavaScript
Python
Ruby

C
Java
Scala

JavaScript

Server-side scripts

Stored procedures

no

no

Triggers

yes, Notifications (with Streaming only)

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

none

Replication methods

Methods for redundantly storing data on multiple nodes

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

selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

no

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable consistency, set CAP knob accordingly

Immediate Consistency

none

Foreign keys

Referential integrity

no

no

yes

yes

Transaction concepts

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

ACID

ACID

ACID

Concurrency

Support for concurrent manipulation of data

yes, optimistic concurrency control

yes

yes

Durability

Support for making data persistent

yes, implements WAL (Write ahead log) as well

yes,with MongoDB ord RethinkDB

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

yes

yes

User concepts

Access control

yes (enterprise version only)

yes

no

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More resources

DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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