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DBMS > Bangdb vs. Hive vs. SQL.JS

System Properties Comparison Bangdb vs. Hive 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

data warehouse software for querying and managing large distributed datasets, built on Hadoop

Port of SQLite to JavaScript

Primary database model

Document store
Graph DBMS
Time Series DBMS

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	61.17
Rank	#18	Overall
	#12	Relational DBMS

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

hive.apache.org

Technical documentation

docs.bangdb.com

cwiki.apache.org/confluence/display/Hive/Home

sql.js.org/documentation/index.html

Developer

Sachin Sinha, BangDB

Apache Software Foundation

initially developed by Facebook

Alon Zakai

enhancements implemented by others

Initial release

2012

2012

2012

Current release

BangDB 2.0, October 2021

3.1.3, April 2022

License

Commercial or Open Source

Open Source

BSD 3

Open Source

Apache Version 2

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C, C++

Java

JavaScript

Server operating systems

Linux

All OS with a Java VM

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

Data scheme

schema-free

yes

yes

Typing

predefined data types such as float or date

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

yes

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

Secondary indexes

yes

secondary, composite, nested, reverse, geospatial

yes

SQL

Support of SQL

SQL like support with command line tool

SQL-like DML and DDL statements

yes

SQL-92 is not fully supported

APIs and other access methods

Proprietary protocol
RESTful HTTP API

JDBC
ODBC
Thrift

JavaScript API

Supported programming languages

C
C#
C++
Java
Python

C++
Java
PHP
Python

JavaScript

Server-side scripts

Stored procedures

no

yes

user defined functions and integration of map-reduce

no

Triggers

yes, Notifications (with Streaming only)

no

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

yes

query execution via MapReduce

no

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable consistency, set CAP knob accordingly

Eventual Consistency

none

Foreign keys

Referential integrity

no

no

yes

Transaction concepts

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

ACID

no

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

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

User concepts

Access control

yes (enterprise version only)

Access rights for users, groups and roles

no

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More resources

DB-Engines blog posts

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

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

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